10,280 AI Innovation jobs in the United States
Machine Learning Engineer - AI Innovation
Posted today
Job Viewed
Job Description
Key responsibilities include:
- Designing, implementing, and optimizing machine learning algorithms and models for various applications.
- Developing and deploying production-ready ML pipelines, ensuring scalability, reliability, and efficiency.
- Working with large-scale datasets, performing data preprocessing, feature engineering, and model evaluation.
- Collaborating with data scientists and software engineers to integrate ML models into existing systems and products.
- Researching and evaluating new ML techniques, tools, and frameworks to stay ahead of the curve.
- Developing and maintaining robust testing and validation frameworks for ML models.
- Contributing to the architecture and design of AI/ML systems.
- Troubleshooting and debugging ML models and associated infrastructure.
- Documenting methodologies, processes, and results.
- Mentoring junior engineers and sharing knowledge within the team.
Qualifications:
- Master's or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, Statistics, or a related quantitative field.
- Minimum of 5 years of professional experience in machine learning engineering or data science.
- Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, scikit-learn, Keras).
- Experience with cloud platforms (AWS, Azure, GCP) and their ML services.
- Strong understanding of various ML algorithms, including deep learning, NLP, computer vision, and reinforcement learning.
- Experience with data processing frameworks (e.g., Spark, Hadoop).
- Solid software engineering skills, including version control (Git) and CI/CD practices.
- Excellent problem-solving abilities and a creative approach to tackling complex challenges.
- Strong communication and collaboration skills, essential for a remote-first environment.
Program Mgr AI Innovation

Posted today
Job Viewed
Job Description
Location: Chicago, Illinois
Business Unit: Rush Medical Center
Hospital: Rush University Medical Center
Department: Digital & Information Services
**Work Type:** Full Time (Total FTE between 0.9 and 1.0)
**Shift:** Shift 1
**Work Schedule:** 8 Hr (8:00:00 AM - 5:00:00 PM)
Rush offers exceptional rewards and benefits learn more at our Rush benefits page ( Range:** $55.75 - $83.07 per hour
Rush salaries are determined by many factors including, but not limited to, education, job-related experience and skills, as well as internal equity and industry specific market data. The pay range for each role reflects Rush's anticipated wage or salary reasonably expected to be offered for the position. Offers may vary depending on the circumstances of each case.
**Summary:**
This role will Manage the strategic, operational, and administrative aspects of an AI & Innovation program; including resourcing, budgeting, governance, and end-to-end project implementation management. This role also supports enterprise communications and business unit engagement and exemplifies the Rush mission, vision and values and acts in accordance with Rush policies and procedures.
**Other information:**
Required Qualifications
o College degree in Business, Healthcare, Computer Science, Data Science, or related field
o 10+ years healthcare administration, project management, IT or related field
o Proven track record of working with Hospital Administration and Operational Stakeholders to successfully implement IT solutions
o Proven track record of delivering projects on-time and on-budget
o Technical team leadership experience
o High degree of honesty, integrity, and accountability
**Technical Requirements Core Skills:**
o Epic Certification
o SQL database expertise
o Azure cloud platform
o Machine learning frameworks
o Creating and maintaining APIs
Preferred Qualifications
o Health system experience
o HIPAA/HITECH knowledge
o Clinical informatics background
o Vendor evaluation experience
o EHR system familiarity
o PMP - Project Management Professional
o Other Healthcare AI platforms
Impact & Scope This role advances RUSH's strategic initiatives in:
o AI/ML healthcare implementation
o Clinical workflow automation
o Data-driven healthcare transformation
o Vendor solution integration
o Other AI and Innovation efforts
**Competencies:**
o Strategic Planning and Goal Setting
o Stakeholder Management
o Resource Allocation and Management
o Risk Management and Mitigation
o Performance Monitoring and Reporting
o Knowledge Sharing and Collaboration
o Team Development
o Staying Informed/Market Scanning
**Physical Demands:**
This role requires extensive computer use and mental focus. This role is expected to be available during Rush University System for Health's standard hours of 8:30am to 5pm CT. Projects may require work outside of these hours including weekends.
**Disclaimer:**
The above is intended to describe the general content of and requirements for the performance of this job. It is not to be construed as an exhaustive statement of duties, responsibilities or requirements.
**Responsibilities:**
1. Strategic, Operational, and Program Leadership
o Program lead for AI governance and AI & Innovation Department portfolio of projects
o Development and Management of AI & Automation Steering Committee
o Leads process to evaluate healthcare AI/ML solutions
o Works with AI/ML solution executive sponsors to do the following:
Create project business case
Navigate through the project intake and approval processes
btain sign-off on success metric and KPIs
evelop reports and dashboards to monitor success metric and KPIs
o-present project results with respect to original business plan
o Guide and support execution of data science projects
o Provide strategic and operational oversight of vendor tools
o Manages Business Analyst(s)
o Supports AI & Innovation Data Scientist Leader to execute projects and remove blockers
2. Program and Portfolio Management of AI and Innovation Projects
o Oversees and is responsible for the successful implementation of various Projects and Programs that roll up to the AI & Innovation Department
o Provides leadership across the portfolio to see opportunities for synergies and operational efficiencies
o Works with Project Managers and Project Team members to deliver projects on-time, on-budget, high quality, and delivers operational value
o Leads and oversees change management and business value realization efforts, working closely with operational stakeholders and executive sponsors
o Partner with the D&IS Leadership, Technical Leads, and other team members for Model Development and other AI solutions to create, implement, and new technologies.
o Creates strong working relationships with key operational business partners to identify and size opportunities
o Supports continuous improvement mindset and efforts across project portfolio
o Coaches and develops AI & Innovation team members to grow both personally and professionally
3. Reporting and Analytics
o Builds, Maintains, and Monitors project reporting tools for project success.
o Creates data visualizations tools to communicate with stakeholders
o Delivers monthly, quarterly, and yearly progress reports for department
4. Healthcare Software Integration
o Builds cloud solutions using HL7 FHIR standards
o Oversees, build, and maintains integrations for new and existing clinical workflows
o Experience with data migration and legacy system archival
o Evaluate vendor solutions
o Support data-driven clinical and operational decision making
Rush is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics.
**Position** Program Mgr AI Innovation
**Location** US:IL:Chicago
**Req ID** 19634
Associate Director, AI Innovation

Posted today
Job Viewed
Job Description
The Advanced Analytics team at BeOne Medicines is seeking an Associate Director, AI Innovation, to drive the integration and enablement of AI-driven platforms, with experience leveraging Retrieval-Augmented Generation (RAG) models and agentic AI approaches to synthesize vast datasets and generate actionable insights. This role is pivotal in enhancing data-driven decision-making across Commercial, Medical, and cross-functional teams in the US, EU, and Canada, ultimately supporting patient outcomes and business growth.
As a strategic thought partner, you will translate complex data into clear, actionable insights, enabling BeOne Medicines to optimize business performance, improve patient engagement, and accelerate innovation in the oncology space.
Our dynamic and collaborative team consists of data scientists, AI specialists, and analytics experts, all working to drive a culture of AI-driven insights and decision intelligence. We believe in fast iteration, open feedback, and constructive debate, ensuring we deliver high-impact solutions efficiently.
Join us in shaping the future of AI-driven insights at BeOne Medicines and making a tangible impact on global healthcare.
**Essential Functions of the job:**
+ Lead the integration, enablement, and innovation of AI-driven platforms, incorporating RAG models and agentic AI to automate data synthesis and insight generation.
+ Develop and implement Retrieval-Augmented Generation (RAG) pipelines to enable real-time, context-aware insights for decision support.
+ Leverage agentic AI approaches to build autonomous AI agents that continuously optimize data-driven recommendations and adapt to changing business needs.
+ Apply advanced AI techniques (e.g., NLP, deep learning, predictive analytics) to transform structured and unstructured data into business-critical insights.
+ Develop AI-driven decision-support tools to optimize commercial strategy and enhance medical engagement.
+ Collaborate cross-functionally with Commercial, Medical, and other key stakeholders to identify AI-driven opportunities and deploy AI solutions effectively.
+ Evaluate and refine AI models for improved accuracy, efficiency, and business impact in decision-making processes.
+ Design and implement scalable AI-driven analytics frameworks, enabling real-time data interpretation and scenario modeling.
+ Conduct hypothesis-driven exploratory analyses, leveraging deep learning, NLP, and generative AI to uncover actionable insights.
+ Stay at the forefront of AI innovation, continuously evaluating new methodologies, tools, and platforms to enhance BeiGene's AI capabilities.
+ Present insights and AI-driven recommendations to senior leadership, ensuring strategic alignment and impact.
**Education Required:**
+ Master's or PhD inAI, Data Science, Computer Science, Engineering, Statistics, or a related field.
**Qualifications:**
+ PhD with 8 plus years or a Master's with 10 plus years of experience in AI-driven analytics, machine learning, or data science applications.
+ 8 plus years of consulting or commercial pharmaceutical industry experience
+ Hands-on experience with Retrieval-Augmented Generation (RAG) models, integrating AI models with enterprise knowledge bases for real-time insight generation.
+ Experience working with vector databases (e.g., Pinecone, FAISS, Weaviate) for efficient similarity search and knowledge retrieval.
+ Deep understanding of agentic AI approaches, developing AI agents that autonomously improve model outputs and adapt to evolving data needs.
+ Expertise in NLP, deep learning, and machine learning for enhancing AI-based insights.
+ Advanced knowledge of ML algorithms (classification, regression, clustering, reinforcement learning, and anomaly detection).
+ Hands-on experience with big data environments (Hadoop, Spark) and AI tools (Snowflake, Databricks, LangChain).
+ Proficiency in Python, SQL, and cloud-based AI services (AWS, Azure, or GCP).
+ Strong grasp of statistical methodologies, including Bayesian inference, A/B testing, and causal inference.
**Business Acumen & Leadership:**
+ Ability to translate complex AI insights into clear, strategic recommendations for business leaders.
+ Strong influencing skills, collaborating effectively with Commercial, Medical, and cross-functional teams.
+ Experience leading AI/analytics initiatives that drive measurable business impact.
+ Excellent communication and storytelling skills, making AI-driven insights accessible and actionable for executives.
**Supervisory Responsibilities:**
+ Yes
**Travel:**
+ 15-20%
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.
Software Engineer, AI Innovation and Research
Posted 1 day ago
Job Viewed
Job Description
+ Bachelor's degree or equivalent practical experience.
+ 8 years of experience with GenAI techniques (e.g., Large Language Models (LLMs), Multi-Modal, Large Vision Models) or with GenAI related concepts (e.g., language modeling, computer vision).
+ 5 years of experience with leading Machine Learning (ML) design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
+ Experience with Machine Learning.
**Preferred qualifications:**
+ Master's degree or PhD in Engineering, Computer Science, or a related technical field.
+ 3 years of experience in a technical leadership role with leading project teams and setting technical direction.
+ Experience with Augmented Reality (AR).
+ Experience with Computer Vision.
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
In this role, you will be focusing on Artificial Intelligence/Machine Learning (AI/ML) applied-research and technology applied to three-dimensional and four-dimensional reconstruction, spatial intelligence, and Generative AI across products and form factors.
The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.
The US base salary range for this full-time position is $197,000-$291,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
**Responsibilities:**
+ Defining the roadmap in the area of Generative AI (GenAI).
+ Build prototypes and run experiments to validate the hypothesis.
+ Collaborate with researchers.
+ Collaborate with product teams.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form:
Head of Product & AI Innovation
Posted today
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Job Description
Job Description
We’re looking for a Head of Product to join our leadership team, own our market positioning, and ensure Digideck stands out as the clear leader in our space. This role will blend market insight, customer empathy, and AI-driven product strategy to guide the platform’s evolution.
As Head of Product, you will be the strategic architect of Digideck’s future. Deeply understanding our competitive landscape, identifying opportunities in the market ecosystem, and establishing a clear, differentiated position for our platform.
You will be the voice of the customer and the market in the executive team, ensuring our product direction aligns with evolving customer needs and industry trends. You’ll work closely with design, engineering leadership, marketing, sales, and customer success to deliver on a bold vision that drives adoption, loyalty, and growth.
Key ResponsibilitiesMarket & Competitive Positioning- Develop a deep understanding of the market ecosystem, competitive landscape, and emerging trends.
- Define and articulate Digideck’s unique position in the market — ensuring it’s clear, compelling, and defensible.
- Partner with marketing and sales to translate product strengths into impactful messaging, thought leadership, and GTM strategy.
- Continuously track industry developments to inform proactive product decisions.
- Own and evolve the product vision and roadmap, with a strong emphasis on AI-first innovation and differentiation.
- Translate customer insights and market intelligence into actionable product priorities.
- Ensure product strategy is fully aligned with company growth objectives and revenue targets.
- Serve as the primary advocate for our customers in strategic discussions.
- Partner with customer-facing teams to gather feedback, validate concepts, and ensure new features deliver measurable value.
Build mechanisms for ongoing customer input to shape the product lifecycle.
- Collaborate closely with engineering leadership to ensure product delivery aligns with vision and quality standards.
- Partner with marketing to drive strong product launches and category awareness.
- Work with sales and customer success to enable teams to position Digideck effectively and maximize adoption.
- Identify high-impact opportunities to integrate AI/ML that enhance customer workflows, personalization, and outcomes.
- Stay ahead of emerging AI capabilities that could redefine our competitive advantage.
What You’ll Bring
- 8+ years in SaaS product leadership, with experience defining market position and leading competitive differentiation.
- Proven success in bringing a B2B SaaS product to a clear leadership position in its category.
- Strong understanding of go-to-market alignment, pricing/packaging strategies, and category creation principles.
- Experience managing and/or collaborating closely with engineering teams to ensure delivery aligns with product vision.
- Customer-first mindset, with exceptional skill in translating needs into compelling product offerings.
- Familiarity with AI/ML trends and their practical application in software products.
- Executive presence and communication skills, with the ability to influence at the board, leadership, and market level.
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AI Innovation Lead - Data Science Lab
Posted 14 days ago
Job Viewed
Job Description
Lead AI Innovation Lead - Data Science Lab
Overview
Guardian is on a transformation journey to evolve into a modern, forward-thinking insurance company committed to enhancing the wellbeing of its customers and their families. As part of the Data & AI team, this role presents a distinctive opportunity to collaborate with the CDAO and the Head of Data Science, actively contributing to Guardian's ongoing evolution.
Guardian's Data & AI team spearheads a culture of data insights across Guardian, facilitating the successful realization of our strategic initiatives. Our core activities encompass creating business value from our data and analytic products. Key responsibilities include data lifecycle management, insight development, and data product delivery. We are a team of data analysts, data product owners, data scientists and most importantly, data business leaders. Our solutions and actions are critical to Guardian's revenue growth, risk management and customer experience.
Guardian created a Data Science Lab (DSL) to reimagine insurance in light of emerging technology, societal shifts, and evolving consumer needs. The DSL will expedite Guardian's transition to data-driven decision making and insight generation, fostering long-term innovation. The DSL will establish rapid testing capabilities for new technology and the translation of pioneering research into practical, enterprise-wide solutions.
In this role as Managing Lead Data Scientist for the DSL, you'll be entrusted with the crucial task of managing the DSL and devising AI strategy for the Data Science team. Your responsibilities will include identifying new AI capabilities, coming up with solutions to scale the Data Science team, leveraging machine learning and artificial intelligence, to drive enterprise-wide innovation across various business lines and Guardian products. You'll collaborate with senior executives on high-impact high-visibility projects to deliver AI/ML solutions that will be market-tested and deployed to make a real difference to risk management and Guardian's overall financial performance. Successful candidates bring expertise in insurance and financial services, a passion for applying cutting-edge ML and AI insights, and the ability to design and implement data science capabilities that foster growth, competitive advantage, and customer satisfaction.
Key Responsibilities Include:
Leadership & Strategy
-
Lead the Data Science Lab (DSL) by setting strategic direction, driving innovation, and ensuring alignment with Guardian Life's business goals and digital transformation initiatives.
-
Manage and mentor a high-performing team of data scientists, fostering a culture of continuous learning, experimentation, and excellence.
-
Monitor developments across the AI and data science community to position Guardian as a leader in responsible and effective AI adoption.
-
Report and communicate progress, opportunities, and risks to executive stakeholders, delivering insights and recommendations in a clear, actionable manner.
Innovation & Research
-
Stay current with advancements in machine learning (ML), artificial intelligence (AI), and industry trends to identify and evaluate emerging capabilities and technologies.
-
Collaborate with academic and industry partners to develop and test novel AI/ML methods and approaches.
-
Introduce and apply ML/AI innovations to practical, high-impact opportunities across Guardian's business units.
-
Create patentable technologies and methodologies that drive long-term innovation.
AI/ML Development
-
Build and lead experimentation efforts to validate the feasibility and impact of new data science techniques in real-world insurance use cases.
-
Develop capabilities in Deep Learning, Large Language Models (LLMs), and Generative AI.
-
Apply AI/ML to unstructured data sources such as insurance contracts, medical records, sales notes, and customer service logs.
-
Deliver solutions that enhance underwriting risk assessment, claims auto-adjudication, and customer servicing.
Operational Excellence
-
Establish scalable processes, frameworks, and governance models for efficient and responsible AI/ML development, testing, and deployment.
-
Assess and recommend cutting-edge tools, platforms, and technologies to enhance data science workflows and model lifecycle management.
-
Actively participate in proof-of-concept evaluations of new data, software, and technologies.
Collaboration & Integration
-
Collaborate cross-functionally with business leaders, technology teams, and data professionals to translate business challenges into AI-driven solutions.
-
Contribute to the standardization of data science tools, processes, and best practices across the enterprise.
-
Function as the data science expert in internal and external meetings, including vendor engagements and industry conferences
You are:
-
You are passionate about cutting-edge technology and keen on applying new AI/ML algorithms and approaches.
-
You are analytically driven, intellectually curious, and experienced leading the development and implementation of data and analytic solutions to solve challenging business problems.
-
You enjoy leading and managing a team of data scientist to crack hard to solve problems with AI/ML and seeing it deployed in-market and generating value for Guardian. You enjoy collaborating with a multi-disciplinary team including data engineers, business analysts, software developers and functional business experts and business leaders.
-
You have demonstrated track record of managing data science teams and working with business leaders.
You have:
-
PhD with 6+ years of experience, Master's degree with 8+ years of experience, or Bachelor's degree with 10+ years of experience in Computer Science, Engineering, Applied mathematics or related field
-
7+ years of hands-on ML modeling/development experience
-
Extensive experience in deep learning models including Large Language Models (LLM) and Natural Language Processing (NLP)
-
Hands-on experience with GPU, distributed computing and applying parallelism to ML solutions
-
Strong programming skills in Python including PyTorch and/or Tensorflow
-
Solid background in algorithms and a range of ML models
-
Experience leading team of Data Scientist of four or more
-
Excellent communication skills and ability to work and collaborating cross-functionally with Product, Engineering, and other disciplines at both the leadership and hands-on level
-
Excellent analytical and problem-solving abilities with superb attention to detail
-
Proven leadership in providing technical leadership and mentoring to data scientists and strong management skills with ability to monitor/track performance for enterprise success
Location:
-
Three days a week at a Guardian office in New York, NY, Holmdel, NJ, Boston, MA, Stamford, CT, Pittsfield, MA or Bethlehem, PA
-
Remote Candidates who can travel up to 20% of the time to our New York office will be considered.
Salary Range:
$148,940.00 - $244,685.00
The salary range reflected above is a good faith estimate of base pay for the primary location of the position. The salary for this position ultimately will be determined based on the education, experience, knowledge, and abilities of the successful candidate. In addition to salary, this role may also be eligible for annual, sales, or other incentive compensation.
Our Promise
At Guardian, you'll have the support and flexibility to achieve your professional and personal goals. Through skill-building, leadership development and philanthropic opportunities, we provide opportunities to build communities and grow your career, surrounded by diverse colleagues with high ethical standards.
Inspire Well-Being
As part of Guardian's Purpose - to inspire well-being - we are committed to offering contemporary, supportive, flexible, and inclusive benefits and resources to our colleagues. Explore our company benefits at . Benefits apply to full-time eligible employees. Interns are not eligible for most Company benefits.
Equal Employment Opportunity
Guardian is an equal opportunity employer. All qualified applicants will be considered for employment without regard to age, race, color, creed, religion, sex, affectional or sexual orientation, national origin, ancestry, marital status, disability, military or veteran status, or any other classification protected by applicable law.
Accommodations
Guardian is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Guardian also provides reasonable accommodations to qualified job applicants (and employees) to accommodate the individual's known limitations related to pregnancy, childbirth, or related medical conditions, unless doing so would create an undue hardship. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact .
Current Guardian Colleagues: Please apply through the internal Jobs Hub in Workday.
Every day, Guardian helps our 29 million customers realize their dreams through a range of insurance and financial products and services. Our Purpose, to inspire well-being, guides our dedication to the colleagues, consumers, and communities we serve. We know that people count, and we go above and beyond to prepare them for the life they want to live, focusing on their overall well-being - mind, body, and wallet. As one of the largest mutual insurance companies, we put our customers first. Behind every bright future is a GuardianTM. Learn more about Guardian at guardianlife.com .
AI Innovation Lead - Data Science Lab
Posted 14 days ago
Job Viewed
Job Description
Lead AI Innovation Lead - Data Science Lab
Overview
Guardian is on a transformation journey to evolve into a modern, forward-thinking insurance company committed to enhancing the wellbeing of its customers and their families. As part of the Data & AI team, this role presents a distinctive opportunity to collaborate with the CDAO and the Head of Data Science, actively contributing to Guardian's ongoing evolution.
Guardian's Data & AI team spearheads a culture of data insights across Guardian, facilitating the successful realization of our strategic initiatives. Our core activities encompass creating business value from our data and analytic products. Key responsibilities include data lifecycle management, insight development, and data product delivery. We are a team of data analysts, data product owners, data scientists and most importantly, data business leaders. Our solutions and actions are critical to Guardian's revenue growth, risk management and customer experience.
Guardian created a Data Science Lab (DSL) to reimagine insurance in light of emerging technology, societal shifts, and evolving consumer needs. The DSL will expedite Guardian's transition to data-driven decision making and insight generation, fostering long-term innovation. The DSL will establish rapid testing capabilities for new technology and the translation of pioneering research into practical, enterprise-wide solutions.
In this role as Managing Lead Data Scientist for the DSL, you'll be entrusted with the crucial task of managing the DSL and devising AI strategy for the Data Science team. Your responsibilities will include identifying new AI capabilities, coming up with solutions to scale the Data Science team, leveraging machine learning and artificial intelligence, to drive enterprise-wide innovation across various business lines and Guardian products. You'll collaborate with senior executives on high-impact high-visibility projects to deliver AI/ML solutions that will be market-tested and deployed to make a real difference to risk management and Guardian's overall financial performance. Successful candidates bring expertise in insurance and financial services, a passion for applying cutting-edge ML and AI insights, and the ability to design and implement data science capabilities that foster growth, competitive advantage, and customer satisfaction.
Key Responsibilities Include:
Leadership & Strategy
-
Lead the Data Science Lab (DSL) by setting strategic direction, driving innovation, and ensuring alignment with Guardian Life's business goals and digital transformation initiatives.
-
Manage and mentor a high-performing team of data scientists, fostering a culture of continuous learning, experimentation, and excellence.
-
Monitor developments across the AI and data science community to position Guardian as a leader in responsible and effective AI adoption.
-
Report and communicate progress, opportunities, and risks to executive stakeholders, delivering insights and recommendations in a clear, actionable manner.
Innovation & Research
-
Stay current with advancements in machine learning (ML), artificial intelligence (AI), and industry trends to identify and evaluate emerging capabilities and technologies.
-
Collaborate with academic and industry partners to develop and test novel AI/ML methods and approaches.
-
Introduce and apply ML/AI innovations to practical, high-impact opportunities across Guardian's business units.
-
Create patentable technologies and methodologies that drive long-term innovation.
AI/ML Development
-
Build and lead experimentation efforts to validate the feasibility and impact of new data science techniques in real-world insurance use cases.
-
Develop capabilities in Deep Learning, Large Language Models (LLMs), and Generative AI.
-
Apply AI/ML to unstructured data sources such as insurance contracts, medical records, sales notes, and customer service logs.
-
Deliver solutions that enhance underwriting risk assessment, claims auto-adjudication, and customer servicing.
Operational Excellence
-
Establish scalable processes, frameworks, and governance models for efficient and responsible AI/ML development, testing, and deployment.
-
Assess and recommend cutting-edge tools, platforms, and technologies to enhance data science workflows and model lifecycle management.
-
Actively participate in proof-of-concept evaluations of new data, software, and technologies.
Collaboration & Integration
-
Collaborate cross-functionally with business leaders, technology teams, and data professionals to translate business challenges into AI-driven solutions.
-
Contribute to the standardization of data science tools, processes, and best practices across the enterprise.
-
Function as the data science expert in internal and external meetings, including vendor engagements and industry conferences
You are:
-
You are passionate about cutting-edge technology and keen on applying new AI/ML algorithms and approaches.
-
You are analytically driven, intellectually curious, and experienced leading the development and implementation of data and analytic solutions to solve challenging business problems.
-
You enjoy leading and managing a team of data scientist to crack hard to solve problems with AI/ML and seeing it deployed in-market and generating value for Guardian. You enjoy collaborating with a multi-disciplinary team including data engineers, business analysts, software developers and functional business experts and business leaders.
-
You have demonstrated track record of managing data science teams and working with business leaders.
You have:
-
PhD with 6+ years of experience, Master's degree with 8+ years of experience, or Bachelor's degree with 10+ years of experience in Computer Science, Engineering, Applied mathematics or related field
-
7+ years of hands-on ML modeling/development experience
-
Extensive experience in deep learning models including Large Language Models (LLM) and Natural Language Processing (NLP)
-
Hands-on experience with GPU, distributed computing and applying parallelism to ML solutions
-
Strong programming skills in Python including PyTorch and/or Tensorflow
-
Solid background in algorithms and a range of ML models
-
Experience leading team of Data Scientist of four or more
-
Excellent communication skills and ability to work and collaborating cross-functionally with Product, Engineering, and other disciplines at both the leadership and hands-on level
-
Excellent analytical and problem-solving abilities with superb attention to detail
-
Proven leadership in providing technical leadership and mentoring to data scientists and strong management skills with ability to monitor/track performance for enterprise success
Location:
-
Three days a week at a Guardian office in New York, NY, Holmdel, NJ, Boston, MA, Stamford, CT, Pittsfield, MA or Bethlehem, PA
-
Remote Candidates who can travel up to 20% of the time to our New York office will be considered.
Salary Range:
$148,940.00 - $244,685.00
The salary range reflected above is a good faith estimate of base pay for the primary location of the position. The salary for this position ultimately will be determined based on the education, experience, knowledge, and abilities of the successful candidate. In addition to salary, this role may also be eligible for annual, sales, or other incentive compensation.
Our Promise
At Guardian, you'll have the support and flexibility to achieve your professional and personal goals. Through skill-building, leadership development and philanthropic opportunities, we provide opportunities to build communities and grow your career, surrounded by diverse colleagues with high ethical standards.
Inspire Well-Being
As part of Guardian's Purpose - to inspire well-being - we are committed to offering contemporary, supportive, flexible, and inclusive benefits and resources to our colleagues. Explore our company benefits at . Benefits apply to full-time eligible employees. Interns are not eligible for most Company benefits.
Equal Employment Opportunity
Guardian is an equal opportunity employer. All qualified applicants will be considered for employment without regard to age, race, color, creed, religion, sex, affectional or sexual orientation, national origin, ancestry, marital status, disability, military or veteran status, or any other classification protected by applicable law.
Accommodations
Guardian is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Guardian also provides reasonable accommodations to qualified job applicants (and employees) to accommodate the individual's known limitations related to pregnancy, childbirth, or related medical conditions, unless doing so would create an undue hardship. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact .
Current Guardian Colleagues: Please apply through the internal Jobs Hub in Workday.
Every day, Guardian helps our 29 million customers realize their dreams through a range of insurance and financial products and services. Our Purpose, to inspire well-being, guides our dedication to the colleagues, consumers, and communities we serve. We know that people count, and we go above and beyond to prepare them for the life they want to live, focusing on their overall well-being - mind, body, and wallet. As one of the largest mutual insurance companies, we put our customers first. Behind every bright future is a GuardianTM. Learn more about Guardian at guardianlife.com .
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AI Innovation Lead - Data Science Lab
Posted 21 days ago
Job Viewed
Job Description
Lead AI Innovation Lead - Data Science Lab
Overview
Guardian is on a transformation journey to evolve into a modern, forward-thinking insurance company committed to enhancing the wellbeing of its customers and their families. As part of the Data & AI team, this role presents a distinctive opportunity to collaborate with the CDAO and the Head of Data Science, actively contributing to Guardian's ongoing evolution.
Guardian's Data & AI team spearheads a culture of data insights across Guardian, facilitating the successful realization of our strategic initiatives. Our core activities encompass creating business value from our data and analytic products. Key responsibilities include data lifecycle management, insight development, and data product delivery. We are a team of data analysts, data product owners, data scientists and most importantly, data business leaders. Our solutions and actions are critical to Guardian's revenue growth, risk management and customer experience.
Guardian created a Data Science Lab (DSL) to reimagine insurance in light of emerging technology, societal shifts, and evolving consumer needs. The DSL will expedite Guardian's transition to data-driven decision making and insight generation, fostering long-term innovation. The DSL will establish rapid testing capabilities for new technology and the translation of pioneering research into practical, enterprise-wide solutions.
In this role as Managing Lead Data Scientist for the DSL, you'll be entrusted with the crucial task of managing the DSL and devising AI strategy for the Data Science team. Your responsibilities will include identifying new AI capabilities, coming up with solutions to scale the Data Science team, leveraging machine learning and artificial intelligence, to drive enterprise-wide innovation across various business lines and Guardian products. You'll collaborate with senior executives on high-impact high-visibility projects to deliver AI/ML solutions that will be market-tested and deployed to make a real difference to risk management and Guardian's overall financial performance. Successful candidates bring expertise in insurance and financial services, a passion for applying cutting-edge ML and AI insights, and the ability to design and implement data science capabilities that foster growth, competitive advantage, and customer satisfaction.
Key Responsibilities Include:
Leadership & Strategy
-
Lead the Data Science Lab (DSL) by setting strategic direction, driving innovation, and ensuring alignment with Guardian Life's business goals and digital transformation initiatives.
-
Manage and mentor a high-performing team of data scientists, fostering a culture of continuous learning, experimentation, and excellence.
-
Monitor developments across the AI and data science community to position Guardian as a leader in responsible and effective AI adoption.
-
Report and communicate progress, opportunities, and risks to executive stakeholders, delivering insights and recommendations in a clear, actionable manner.
Innovation & Research
-
Stay current with advancements in machine learning (ML), artificial intelligence (AI), and industry trends to identify and evaluate emerging capabilities and technologies.
-
Collaborate with academic and industry partners to develop and test novel AI/ML methods and approaches.
-
Introduce and apply ML/AI innovations to practical, high-impact opportunities across Guardian's business units.
-
Create patentable technologies and methodologies that drive long-term innovation.
AI/ML Development
-
Build and lead experimentation efforts to validate the feasibility and impact of new data science techniques in real-world insurance use cases.
-
Develop capabilities in Deep Learning, Large Language Models (LLMs), and Generative AI.
-
Apply AI/ML to unstructured data sources such as insurance contracts, medical records, sales notes, and customer service logs.
-
Deliver solutions that enhance underwriting risk assessment, claims auto-adjudication, and customer servicing.
Operational Excellence
-
Establish scalable processes, frameworks, and governance models for efficient and responsible AI/ML development, testing, and deployment.
-
Assess and recommend cutting-edge tools, platforms, and technologies to enhance data science workflows and model lifecycle management.
-
Actively participate in proof-of-concept evaluations of new data, software, and technologies.
Collaboration & Integration
-
Collaborate cross-functionally with business leaders, technology teams, and data professionals to translate business challenges into AI-driven solutions.
-
Contribute to the standardization of data science tools, processes, and best practices across the enterprise.
-
Function as the data science expert in internal and external meetings, including vendor engagements and industry conferences
You are:
-
You are passionate about cutting-edge technology and keen on applying new AI/ML algorithms and approaches.
-
You are analytically driven, intellectually curious, and experienced leading the development and implementation of data and analytic solutions to solve challenging business problems.
-
You enjoy leading and managing a team of data scientist to crack hard to solve problems with AI/ML and seeing it deployed in-market and generating value for Guardian. You enjoy collaborating with a multi-disciplinary team including data engineers, business analysts, software developers and functional business experts and business leaders.
-
You have demonstrated track record of managing data science teams and working with business leaders.
You have:
-
PhD with 6+ years of experience, Master's degree with 8+ years of experience, or Bachelor's degree with 10+ years of experience in Computer Science, Engineering, Applied mathematics or related field
-
7+ years of hands-on ML modeling/development experience
-
Extensive experience in deep learning models including Large Language Models (LLM) and Natural Language Processing (NLP)
-
Hands-on experience with GPU, distributed computing and applying parallelism to ML solutions
-
Strong programming skills in Python including PyTorch and/or Tensorflow
-
Solid background in algorithms and a range of ML models
-
Experience leading team of Data Scientist of four or more
-
Excellent communication skills and ability to work and collaborating cross-functionally with Product, Engineering, and other disciplines at both the leadership and hands-on level
-
Excellent analytical and problem-solving abilities with superb attention to detail
-
Proven leadership in providing technical leadership and mentoring to data scientists and strong management skills with ability to monitor/track performance for enterprise success
Location:
-
Three days a week at a Guardian office in New York, NY, Holmdel, NJ, Boston, MA, Stamford, CT, Pittsfield, MA or Bethlehem, PA
-
Remote Candidates who can travel up to 20% of the time to our New York office will be considered.
Salary Range:
$148,940.00 - $244,685.00
The salary range reflected above is a good faith estimate of base pay for the primary location of the position. The salary for this position ultimately will be determined based on the education, experience, knowledge, and abilities of the successful candidate. In addition to salary, this role may also be eligible for annual, sales, or other incentive compensation.
Our Promise
At Guardian, you'll have the support and flexibility to achieve your professional and personal goals. Through skill-building, leadership development and philanthropic opportunities, we provide opportunities to build communities and grow your career, surrounded by diverse colleagues with high ethical standards.
Inspire Well-Being
As part of Guardian's Purpose - to inspire well-being - we are committed to offering contemporary, supportive, flexible, and inclusive benefits and resources to our colleagues. Explore our company benefits at . Benefits apply to full-time eligible employees. Interns are not eligible for most Company benefits.
Equal Employment Opportunity
Guardian is an equal opportunity employer. All qualified applicants will be considered for employment without regard to age, race, color, creed, religion, sex, affectional or sexual orientation, national origin, ancestry, marital status, disability, military or veteran status, or any other classification protected by applicable law.
Accommodations
Guardian is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Guardian also provides reasonable accommodations to qualified job applicants (and employees) to accommodate the individual's known limitations related to pregnancy, childbirth, or related medical conditions, unless doing so would create an undue hardship. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact .
Current Guardian Colleagues: Please apply through the internal Jobs Hub in Workday.
Every day, Guardian helps our 29 million customers realize their dreams through a range of insurance and financial products and services. Our Purpose, to inspire well-being, guides our dedication to the colleagues, consumers, and communities we serve. We know that people count, and we go above and beyond to prepare them for the life they want to live, focusing on their overall well-being - mind, body, and wallet. As one of the largest mutual insurance companies, we put our customers first. Behind every bright future is a GuardianTM. Learn more about Guardian at guardianlife.com .
AI Innovation Lead - Data Science Lab
Posted 21 days ago
Job Viewed
Job Description
Lead AI Innovation Lead - Data Science Lab
Overview
Guardian is on a transformation journey to evolve into a modern, forward-thinking insurance company committed to enhancing the wellbeing of its customers and their families. As part of the Data & AI team, this role presents a distinctive opportunity to collaborate with the CDAO and the Head of Data Science, actively contributing to Guardian's ongoing evolution.
Guardian's Data & AI team spearheads a culture of data insights across Guardian, facilitating the successful realization of our strategic initiatives. Our core activities encompass creating business value from our data and analytic products. Key responsibilities include data lifecycle management, insight development, and data product delivery. We are a team of data analysts, data product owners, data scientists and most importantly, data business leaders. Our solutions and actions are critical to Guardian's revenue growth, risk management and customer experience.
Guardian created a Data Science Lab (DSL) to reimagine insurance in light of emerging technology, societal shifts, and evolving consumer needs. The DSL will expedite Guardian's transition to data-driven decision making and insight generation, fostering long-term innovation. The DSL will establish rapid testing capabilities for new technology and the translation of pioneering research into practical, enterprise-wide solutions.
In this role as Managing Lead Data Scientist for the DSL, you'll be entrusted with the crucial task of managing the DSL and devising AI strategy for the Data Science team. Your responsibilities will include identifying new AI capabilities, coming up with solutions to scale the Data Science team, leveraging machine learning and artificial intelligence, to drive enterprise-wide innovation across various business lines and Guardian products. You'll collaborate with senior executives on high-impact high-visibility projects to deliver AI/ML solutions that will be market-tested and deployed to make a real difference to risk management and Guardian's overall financial performance. Successful candidates bring expertise in insurance and financial services, a passion for applying cutting-edge ML and AI insights, and the ability to design and implement data science capabilities that foster growth, competitive advantage, and customer satisfaction.
Key Responsibilities Include:
Leadership & Strategy
-
Lead the Data Science Lab (DSL) by setting strategic direction, driving innovation, and ensuring alignment with Guardian Life's business goals and digital transformation initiatives.
-
Manage and mentor a high-performing team of data scientists, fostering a culture of continuous learning, experimentation, and excellence.
-
Monitor developments across the AI and data science community to position Guardian as a leader in responsible and effective AI adoption.
-
Report and communicate progress, opportunities, and risks to executive stakeholders, delivering insights and recommendations in a clear, actionable manner.
Innovation & Research
-
Stay current with advancements in machine learning (ML), artificial intelligence (AI), and industry trends to identify and evaluate emerging capabilities and technologies.
-
Collaborate with academic and industry partners to develop and test novel AI/ML methods and approaches.
-
Introduce and apply ML/AI innovations to practical, high-impact opportunities across Guardian's business units.
-
Create patentable technologies and methodologies that drive long-term innovation.
AI/ML Development
-
Build and lead experimentation efforts to validate the feasibility and impact of new data science techniques in real-world insurance use cases.
-
Develop capabilities in Deep Learning, Large Language Models (LLMs), and Generative AI.
-
Apply AI/ML to unstructured data sources such as insurance contracts, medical records, sales notes, and customer service logs.
-
Deliver solutions that enhance underwriting risk assessment, claims auto-adjudication, and customer servicing.
Operational Excellence
-
Establish scalable processes, frameworks, and governance models for efficient and responsible AI/ML development, testing, and deployment.
-
Assess and recommend cutting-edge tools, platforms, and technologies to enhance data science workflows and model lifecycle management.
-
Actively participate in proof-of-concept evaluations of new data, software, and technologies.
Collaboration & Integration
-
Collaborate cross-functionally with business leaders, technology teams, and data professionals to translate business challenges into AI-driven solutions.
-
Contribute to the standardization of data science tools, processes, and best practices across the enterprise.
-
Function as the data science expert in internal and external meetings, including vendor engagements and industry conferences
You are:
-
You are passionate about cutting-edge technology and keen on applying new AI/ML algorithms and approaches.
-
You are analytically driven, intellectually curious, and experienced leading the development and implementation of data and analytic solutions to solve challenging business problems.
-
You enjoy leading and managing a team of data scientist to crack hard to solve problems with AI/ML and seeing it deployed in-market and generating value for Guardian. You enjoy collaborating with a multi-disciplinary team including data engineers, business analysts, software developers and functional business experts and business leaders.
-
You have demonstrated track record of managing data science teams and working with business leaders.
You have:
-
PhD with 6+ years of experience, Master's degree with 8+ years of experience, or Bachelor's degree with 10+ years of experience in Computer Science, Engineering, Applied mathematics or related field
-
7+ years of hands-on ML modeling/development experience
-
Extensive experience in deep learning models including Large Language Models (LLM) and Natural Language Processing (NLP)
-
Hands-on experience with GPU, distributed computing and applying parallelism to ML solutions
-
Strong programming skills in Python including PyTorch and/or Tensorflow
-
Solid background in algorithms and a range of ML models
-
Experience leading team of Data Scientist of four or more
-
Excellent communication skills and ability to work and collaborating cross-functionally with Product, Engineering, and other disciplines at both the leadership and hands-on level
-
Excellent analytical and problem-solving abilities with superb attention to detail
-
Proven leadership in providing technical leadership and mentoring to data scientists and strong management skills with ability to monitor/track performance for enterprise success
Location:
-
Three days a week at a Guardian office in New York, NY, Holmdel, NJ, Boston, MA, Stamford, CT, Pittsfield, MA or Bethlehem, PA
-
Remote Candidates who can travel up to 20% of the time to our New York office will be considered.
Salary Range:
$148,940.00 - $244,685.00
The salary range reflected above is a good faith estimate of base pay for the primary location of the position. The salary for this position ultimately will be determined based on the education, experience, knowledge, and abilities of the successful candidate. In addition to salary, this role may also be eligible for annual, sales, or other incentive compensation.
Our Promise
At Guardian, you'll have the support and flexibility to achieve your professional and personal goals. Through skill-building, leadership development and philanthropic opportunities, we provide opportunities to build communities and grow your career, surrounded by diverse colleagues with high ethical standards.
Inspire Well-Being
As part of Guardian's Purpose - to inspire well-being - we are committed to offering contemporary, supportive, flexible, and inclusive benefits and resources to our colleagues. Explore our company benefits at . Benefits apply to full-time eligible employees. Interns are not eligible for most Company benefits.
Equal Employment Opportunity
Guardian is an equal opportunity employer. All qualified applicants will be considered for employment without regard to age, race, color, creed, religion, sex, affectional or sexual orientation, national origin, ancestry, marital status, disability, military or veteran status, or any other classification protected by applicable law.
Accommodations
Guardian is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Guardian also provides reasonable accommodations to qualified job applicants (and employees) to accommodate the individual's known limitations related to pregnancy, childbirth, or related medical conditions, unless doing so would create an undue hardship. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact .
Current Guardian Colleagues: Please apply through the internal Jobs Hub in Workday.
Every day, Guardian helps our 29 million customers realize their dreams through a range of insurance and financial products and services. Our Purpose, to inspire well-being, guides our dedication to the colleagues, consumers, and communities we serve. We know that people count, and we go above and beyond to prepare them for the life they want to live, focusing on their overall well-being - mind, body, and wallet. As one of the largest mutual insurance companies, we put our customers first. Behind every bright future is a GuardianTM. Learn more about Guardian at guardianlife.com .
AI Innovation Lead - Data Science Lab
Posted 21 days ago
Job Viewed
Job Description
Lead AI Innovation Lead - Data Science Lab
Overview
Guardian is on a transformation journey to evolve into a modern, forward-thinking insurance company committed to enhancing the wellbeing of its customers and their families. As part of the Data & AI team, this role presents a distinctive opportunity to collaborate with the CDAO and the Head of Data Science, actively contributing to Guardian's ongoing evolution.
Guardian's Data & AI team spearheads a culture of data insights across Guardian, facilitating the successful realization of our strategic initiatives. Our core activities encompass creating business value from our data and analytic products. Key responsibilities include data lifecycle management, insight development, and data product delivery. We are a team of data analysts, data product owners, data scientists and most importantly, data business leaders. Our solutions and actions are critical to Guardian's revenue growth, risk management and customer experience.
Guardian created a Data Science Lab (DSL) to reimagine insurance in light of emerging technology, societal shifts, and evolving consumer needs. The DSL will expedite Guardian's transition to data-driven decision making and insight generation, fostering long-term innovation. The DSL will establish rapid testing capabilities for new technology and the translation of pioneering research into practical, enterprise-wide solutions.
In this role as Managing Lead Data Scientist for the DSL, you'll be entrusted with the crucial task of managing the DSL and devising AI strategy for the Data Science team. Your responsibilities will include identifying new AI capabilities, coming up with solutions to scale the Data Science team, leveraging machine learning and artificial intelligence, to drive enterprise-wide innovation across various business lines and Guardian products. You'll collaborate with senior executives on high-impact high-visibility projects to deliver AI/ML solutions that will be market-tested and deployed to make a real difference to risk management and Guardian's overall financial performance. Successful candidates bring expertise in insurance and financial services, a passion for applying cutting-edge ML and AI insights, and the ability to design and implement data science capabilities that foster growth, competitive advantage, and customer satisfaction.
Key Responsibilities Include:
Leadership & Strategy
-
Lead the Data Science Lab (DSL) by setting strategic direction, driving innovation, and ensuring alignment with Guardian Life's business goals and digital transformation initiatives.
-
Manage and mentor a high-performing team of data scientists, fostering a culture of continuous learning, experimentation, and excellence.
-
Monitor developments across the AI and data science community to position Guardian as a leader in responsible and effective AI adoption.
-
Report and communicate progress, opportunities, and risks to executive stakeholders, delivering insights and recommendations in a clear, actionable manner.
Innovation & Research
-
Stay current with advancements in machine learning (ML), artificial intelligence (AI), and industry trends to identify and evaluate emerging capabilities and technologies.
-
Collaborate with academic and industry partners to develop and test novel AI/ML methods and approaches.
-
Introduce and apply ML/AI innovations to practical, high-impact opportunities across Guardian's business units.
-
Create patentable technologies and methodologies that drive long-term innovation.
AI/ML Development
-
Build and lead experimentation efforts to validate the feasibility and impact of new data science techniques in real-world insurance use cases.
-
Develop capabilities in Deep Learning, Large Language Models (LLMs), and Generative AI.
-
Apply AI/ML to unstructured data sources such as insurance contracts, medical records, sales notes, and customer service logs.
-
Deliver solutions that enhance underwriting risk assessment, claims auto-adjudication, and customer servicing.
Operational Excellence
-
Establish scalable processes, frameworks, and governance models for efficient and responsible AI/ML development, testing, and deployment.
-
Assess and recommend cutting-edge tools, platforms, and technologies to enhance data science workflows and model lifecycle management.
-
Actively participate in proof-of-concept evaluations of new data, software, and technologies.
Collaboration & Integration
-
Collaborate cross-functionally with business leaders, technology teams, and data professionals to translate business challenges into AI-driven solutions.
-
Contribute to the standardization of data science tools, processes, and best practices across the enterprise.
-
Function as the data science expert in internal and external meetings, including vendor engagements and industry conferences
You are:
-
You are passionate about cutting-edge technology and keen on applying new AI/ML algorithms and approaches.
-
You are analytically driven, intellectually curious, and experienced leading the development and implementation of data and analytic solutions to solve challenging business problems.
-
You enjoy leading and managing a team of data scientist to crack hard to solve problems with AI/ML and seeing it deployed in-market and generating value for Guardian. You enjoy collaborating with a multi-disciplinary team including data engineers, business analysts, software developers and functional business experts and business leaders.
-
You have demonstrated track record of managing data science teams and working with business leaders.
You have:
-
PhD with 6+ years of experience, Master's degree with 8+ years of experience, or Bachelor's degree with 10+ years of experience in Computer Science, Engineering, Applied mathematics or related field
-
7+ years of hands-on ML modeling/development experience
-
Extensive experience in deep learning models including Large Language Models (LLM) and Natural Language Processing (NLP)
-
Hands-on experience with GPU, distributed computing and applying parallelism to ML solutions
-
Strong programming skills in Python including PyTorch and/or Tensorflow
-
Solid background in algorithms and a range of ML models
-
Experience leading team of Data Scientist of four or more
-
Excellent communication skills and ability to work and collaborating cross-functionally with Product, Engineering, and other disciplines at both the leadership and hands-on level
-
Excellent analytical and problem-solving abilities with superb attention to detail
-
Proven leadership in providing technical leadership and mentoring to data scientists and strong management skills with ability to monitor/track performance for enterprise success
Location:
-
Three days a week at a Guardian office in New York, NY, Holmdel, NJ, Boston, MA, Stamford, CT, Pittsfield, MA or Bethlehem, PA
-
Remote Candidates who can travel up to 20% of the time to our New York office will be considered.
Salary Range:
$148,940.00 - $244,685.00
The salary range reflected above is a good faith estimate of base pay for the primary location of the position. The salary for this position ultimately will be determined based on the education, experience, knowledge, and abilities of the successful candidate. In addition to salary, this role may also be eligible for annual, sales, or other incentive compensation.
Our Promise
At Guardian, you'll have the support and flexibility to achieve your professional and personal goals. Through skill-building, leadership development and philanthropic opportunities, we provide opportunities to build communities and grow your career, surrounded by diverse colleagues with high ethical standards.
Inspire Well-Being
As part of Guardian's Purpose - to inspire well-being - we are committed to offering contemporary, supportive, flexible, and inclusive benefits and resources to our colleagues. Explore our company benefits at . Benefits apply to full-time eligible employees. Interns are not eligible for most Company benefits.
Equal Employment Opportunity
Guardian is an equal opportunity employer. All qualified applicants will be considered for employment without regard to age, race, color, creed, religion, sex, affectional or sexual orientation, national origin, ancestry, marital status, disability, military or veteran status, or any other classification protected by applicable law.
Accommodations
Guardian is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Guardian also provides reasonable accommodations to qualified job applicants (and employees) to accommodate the individual's known limitations related to pregnancy, childbirth, or related medical conditions, unless doing so would create an undue hardship. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact .
Current Guardian Colleagues: Please apply through the internal Jobs Hub in Workday.
Every day, Guardian helps our 29 million customers realize their dreams through a range of insurance and financial products and services. Our Purpose, to inspire well-being, guides our dedication to the colleagues, consumers, and communities we serve. We know that people count, and we go above and beyond to prepare them for the life they want to live, focusing on their overall well-being - mind, body, and wallet. As one of the largest mutual insurance companies, we put our customers first. Behind every bright future is a GuardianTM. Learn more about Guardian at guardianlife.com .