45 Data Science jobs in Honolulu

In a world of possibilities, pursue one with endless opportunities. Imagine Next!
When it comes to what you want in your career, if you can imagine it, you can do it at Parsons. Imagine a career working with exceptional people sharing a common quest. Imagine a workplace where you can be yourself. Where you can thrive. Where you can find your next, right now. We've got what you're looking for.
**Job Description:**
Job Description:
Location: Camp Smith, HI
Clearance Needed: TS/SCI
Are you ready for a challenge that will keep you on the edge of the US military's use of big data? Do you have experience building curriculum and training computer science, data literacy, and analytic techniques? Imagine yourself working on a top-level, critical mission alongside other seasoned professionals. Parsons is now hiring a Data Science Training Specialist with a passion for educating and solving novel challenges to support our US INDOPACOM customer.
Specific Responsibilities:
+ Collaborate closely with stakeholders to understand requirements and meet objectives to support strategic initiatives
+ Identify strengths and weaknesses in training material; develop curriculum, manage training schedules, and instruct course material
+ Provide subject matter expertise to address deficiencies in data literacy and implement novel solutions
+ Can explain complex, technically difficult information in an easily understood manner to technical and non-technical audiences
+ Educate and mentor on how to effectively use and interpret data, ensuring users can independently derive insights and make informed decisions
+ Capable of intuitively solving complex problems, working independently, with minimal guidance
+ Strong problem-solving skills, with a keen attention to detail
Required Education/Experience:
+ 5+ years relevant experience with Bachelors in related field; will consider experience in lieu of degree
+ 5+ years' experience working in a multi-skilled team environment collaborating on data automation
+ Foundational proficiency in Python, working with structured and unstructured data with the ability to automate data processing and analysis tasks.
+ Excellent written and verbal communication skills
+ Strong organizational and planning skills
+ Active DoD Top Secret-level security clearance with SCI eligibility
Preferred Experience:
+ Prior military experience supporting US INDOPACOM activities
+ Experience utilizing and applying data visualization tools and techniques
+ Prior instruction or training role
**Security Clearance Requirement:**
An active Top Secret SCI security clearance is required for this position.
This position is part of our Federal Solutions team.
The Federal Solutions segment delivers resources to our US government customers that ensure the success of missions around the globe. Our intelligent employees drive the state of the art as they provide services and solutions in the areas of defense, security, intelligence, infrastructure, and environmental. We promote a culture of excellence and close-knit teams that take pride in delivering, protecting, and sustaining our nation's most critical assets, from Earth to cyberspace. Throughout the company, our people are anticipating what's next to deliver the solutions our customers need now.
Salary Range: $86,700.00 - $151,700.00
We value our employees and want our employees to take care of their overall wellbeing, which is why we offer best-in-class benefits such as medical, dental, vision, paid time off, 401(k), life insurance, flexible work schedules, and holidays to fit your busy lifestyle!
Parsons is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status or any other protected status.
We truly invest and care about our employee's wellbeing and provide endless growth opportunities as the sky is the limit, so aim for the stars! Imagine next and join the Parsons quest-APPLY TODAY!
Parsons is aware of fraudulent recruitment practices. To learn more about recruitment fraud and how to report it, please refer to .
About Us
Parsons is a digitally enabled solutions provider focused on the defense, security, and infrastructure markets. With nearly 75 years of experience, Parsons is uniquely qualified to deliver cyber/converged security, technology-based intellectual property, and other innovative services to federal, regional, and local government agencies, as well as to private industrial customers worldwide.
Parsons is an equal opportunity, drug-free employer committed to diversity in the workplace. Minority/Female/Disabled/Protected Veteran/LGBTQ+.
For more about Parsons, visit parsons.com and follow us on Facebook, Twitter, LinkedIn, and YouTube.

**Summary:**
As a Data Science Manager at Meta, you will play a key role in shaping the future of experiences for billions of people and hundreds of millions of businesses worldwide. You will apply your leadership, project management, analytical, technical, creative, and product intuition skills to one of the largest data sets globally. Your primary focus will be on driving impact through quality, efficiency, and velocity by collaborating with cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance, and others.You will use data to understand product and business ecosystems, quantify new opportunities, identify upcoming challenges, and shape product development to bring value to people, businesses, and Meta. You will guide product teams using data and insights, develop hypotheses, and employ rigorous analytical approaches to test them. Additionally, you will tell data-driven stories, convince and influence leaders using clear insights and recommendations, and build credibility as a trusted strategic partner.As a leader, you will inspire, lead, and grow a world-class team of data scientists and data science leaders. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.
**Required Skills:**
Data Science Manager, Monetization Responsibilities:
1. Drive analytics projects end-to-end in partnership with cross-functional teams to inform and execute product strategy and investment decisions
2. Inspire, lead, and grow a team of data scientists and managers to fulfill long-term vision and goals
3. Actively influence the design of strategy and roadmap within scope, generating and using team insights to set and prioritize longer-term goals
4. Develop understanding of complex systems, industry challenges, and broader trends to identify present and future risks and opportunities
5. Work with large and complex data sets to solve challenging problems using different analytical and statistical approaches
6. Grow analytics expertise around you, upskilling your team, engineers, and others to increase overall team impact
7. Define key metrics for measuring model effectiveness and drive insight to action by identifying focus areas and opportunities to accelerate performance
8. Partner with cross-functional teams to achieve ambitious long-term goals, monitoring performance against growth goals and building experimentation rigor
9. Shape the strategic direction of growth initiatives, investing in data foundations and analytical methods to sharpen understanding of growth levers
**Minimum Qualifications:**
Minimum Qualifications:
10. BS degree in a quantitative discipline (e.g., statistics, operations research, econometrics, computer science, engineering), or BS/MS in a quantitative discipline with equivalent working experience
11. A minimum of 7 years of work experience (3+ years with a Ph.D.) in applied quantitative field doing quantitative analysis, statistical modeling or machine learning in the experimentation space, including including 2+ years of experience managing analytics teams
12. 5+ years of experience in a team leadership role, including 2+ years of experience with people management through layers
13. Proven track record of leading high-performing analytics teams
14. Experience communicating both in low-level technical details as well as high-level strategies
15. Track-record driving product roadmap and execution
16. Experience in cross-functional partnership among teams of Engineering, Design, PM, Data Engineering
**Preferred Qualifications:**
Preferred Qualifications:
17. Proven track record of leading analytics teams that deliver on multiple projects or programs across regions or business groups
18. A minimum of 2 years of experience working on consumer-facing products
19. 10+ years of experience with quantitative analysis, statistical modeling, or machine learning in the experimentation space
20. Master's or Ph.D. degree in Mathematics, Statistics, Computer Science, Engineering, Economics, or another quantitative field
**Public Compensation:**
$206,000/year to $281,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at

Ready to be pushed beyond what you think you're capable of?
At Coinbase, our mission is to increase economic freedom in the world. It's a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform - and with it, the future global financial system.
To achieve our mission, we're seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company's hardest problems.
Our is intense and isn't for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there's no better place to be.
While many roles at Coinbase are remote-first, we are not remote-only. In-person participation is required throughout the year. Team and company-wide offsites are held multiple times annually to foster collaboration, connection, and alignment. Attendance is expected and fully supported.
Data Science is an integral component of Coinbase's product and decision making process: we work in partnership with Product, Engineering and Design to influence the roadmap and better understand our users. With a deep expertise in experimentation, analytics and advanced modeling, we produce insights and drive decisions which directly move the company's bottom line.
We're looking for an experienced manager to lead the Developer data science team, a fast growing area of the business that's not only working on some of the most cutting edge web3 applications, but which is also critical to Coinbase's mission of bringing one billion people onchain. They'll work with their team to devise strategies to help grow the product, support a culture of experimentation, and hold a high bar for rigorous and analytical decision making.
*What you'll be doing (ie. job duties):***
* Manage, mentor and grow a team of data scientists and build solid working partnerships with product teams
* Act as a strategic thought partner to product teams and Coinbase executives; lead the team to execute on data-based analyses to help prioritize product opportunities and provide actionable recommendations
* Standardize best practices for analysis, modeling and experimentation; develop scalable processes to help the team solve pain points and meet goals
* Design communication structure and cadence with team members; synthesize data learnings into compelling stories and communicate them throughout Coinbase
* Act as the business metrics owner for performance management
* Drive data team and organizational level initiatives to scale our insights through better systems and automation
*What we look for in you (ie. job requirements):*
* BA / BS degree business, computer science, statistics, applied mathematics, or any scientific or computational degree
* 5+ years of experience as a hands-on leader of a high-performing data science/analytics team
* 10+ years of experience providing business insights and driving data science initiatives
* Experience in both internal and external storytelling and executive presentations
* Experience overseeing large, complex and cross-functional initiatives
* Expertise with analytics tools, data visualization, SQL, R, or Python as applied to data science and analytics
* Deep knowledge of data models and experimental design and execution
* Excellent ability to communicate complicated and nuanced insights in accessible language to relevant stakeholders
* Demonstrate our core cultural values: clear communication, positive energy, continuous learning, and efficient execution
* Self-driven and able to create plans for analytics projects and build collaboration within the team
*Nice to haves:*
* Masters or PhD in computer science, statistics, applied mathematics, or any scientific or computational degree
* Experience building causal inference models and overseeing synthetic experimentation
* Domain experience in Fintech product and growth areas
* Experience manipulating large amounts of structured and unstructured data
*Pay Transparency Notice:* Depending on your work location, the target annual salary for this position can range as detailed below. Full time offers from Coinbase also include target bonus + target equity + benefits (including medical, dental, vision and 401(k)).
Pay Range:
$243,865-$286,900 USD
Please be advised that each candidate may submit a maximum of four applications within any 30-day period. We encourage you to carefully evaluate how your skills and interests align with Coinbase's roles before applying.
Commitment to Equal Opportunity
Coinbase is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view the in certain locations, as required by law.
Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please contact us at accommodations Data Privacy Notice for Job Candidates and Applicants
Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available Disclosure
For select roles, Coinbase is piloting an AI tool based on machine learning technologies to conduct initial screening interviews to qualified applicants. The tool simulates realistic interview scenarios and engages in dynamic conversation. A human recruiter will review your interview responses, provided in the form of a voice recording and/or transcript, to assess them against the qualifications and characteristics outlined in the job description.
For select roles, Coinbase is also piloting an AI interview intelligence platform to transcribe and summarize interview notes, allowing our interviewers to fully focus on you as the candidate.
*The above pilots are for testing purposes and Coinbase will not use AI to make decisions impacting employment*. To request a reasonable accommodation due to disability, please contact mailto:

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 .

**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 .

**Your Future Evolves Here**
Evolent partners with health plans and providers to achieve better outcomes for people with most complex and costly health conditions. Working across specialties and primary care, we seek to connect the pieces of fragmented health care system and ensure people get the same level of care and compassion we would want for our loved ones.
Evolent employees enjoy work/life balance, the flexibility to suit their work to their lives, and autonomy they need to get things done. We believe that people do their best work when they're supported to live their best lives, and when they feel welcome to bring their whole selves to work. That's one reason why diversity and inclusion are core to our business.
Join Evolent for the mission. Stay for the culture.
**What You'll Be Doing:**
**Job Summary**
We are seeking a highly motivated **AI/Data Science Product Manager** to lead and manage AI initiatives across our organization. This individual will play a key role in identifying, evaluating, and executing AI-driven opportunities while working cross-functionally with data science, clinical, operational, and technical teams. The ideal candidate will have a strong foundation in both product and project management and be comfortable navigating AI technologies and business applications.
**Key Responsibilities**
**Opportunity Analysis & Strategy**
Conduct in-depth opportunity analysis for new and existing AI initiatives, including business case development and feasibility assessment. Partner with stakeholders to define detailed product and business requirements. Perform build vs. buy analysis and support vendor evaluations where necessary.
**Development & Execution**
Collaborate with data science teams to outline proof-of-concepts (POCs) and have a strategic point of view on AI/ML techniques and tools. Evaluate the success of AI initiatives at the POC stage gate and refine opportunity sizing accordingly. Ensure AI solutions align with broader business objectives and operational needs.
**Cross-functional Coordination**
Coordinate testing and validation processes with clinical and operational teams to ensure real-world applicability and efficacy. Work with project managers on change management, including relating the impact of decisions made throughout project scope to overall value Align AI initiatives with roadmaps of key internal applications such as BBI and CarePro. Manage rollout plans, ensuring seamless implementation, training, and adoption across the organization.
**Performance Tracking & Value Realization**
Define and track key performance metrics to measure AI initiative success and business impact. Communicate results and insights to executive stakeholders, ensuring transparency and alignment on value delivered.
**Qualifications & Skills**
**Experience:** 5+ years in product management, data science, or AI-related roles, preferably within healthcare, insurance, or operational technology.
**Education:** Bachelor's or Master's degree in Computer Science, Engineering, Business, or a related field.
**Technical Understanding:** Familiarity with AI/ML techniques, data science methodologies, and cloud-based AI solutions.
**Project Management:** Strong ability to manage multiple initiatives, coordinate cross-functional teams, ensure strong scope and value maintenance, and ensure timely execution.
**Communication & Leadership:** Ability to work with technical and non-technical stakeholders, translating AI capabilities into business impact.
**Analytical Skills:** Experience with data-driven decision-making, including business case development and opportunity sizing.
**Healthcare Industry Experience:** Familiarity with clinical workflows, payer operations, or healthcare AI applications is preferred.
**Why Join Us?**
Opportunity to drive impactful AI initiatives in a rapidly evolving industry. Collaborative environment with cross-functional teams, including data science, engineering, and operations. Competitive compensation, benefits, and opportunities for professional growth.
If you are passionate about AI and data science and want to play a pivotal role in shaping AI-driven transformation, we'd love to hear from you!
**To comply with HIPAA security standards (45 C.F.R. sec. 164.308 (a) (3)), identity verification may be required as part of the application process. This is collected for compliance and security purposes and only reviewed if an applicant advances to the final interview state. Reasonable accommodations are available upon request.**
**Technical Requirements:**
We require that all employees have the following technical capability at their home: High speed internet over 10 Mbps and, specifically for all call center employees, the ability to plug in directly to the home internet router. These at-home technical requirements are subject to change with any scheduled re-opening of our office locations.
**Evolent is an equal opportunity employer and considers all qualified applicants equally without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability status.** **If you need reasonable accommodation to access the information provided on this website, please contact** ** ** **for further assistance.**
The expected base salary/wage range for this position is $115,000 - 130,000. This position is also eligible for a bonus component that would be dependent on pre-defined performance factors. As part of our total compensation package, Evolent is proud to offer comprehensive benefits (including health insurance benefits) to qualifying employees. All compensation determinations are based on the skills and experience required for the position and commensurate with experience of selected individuals, which may vary above and below the stated amounts.
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Overview

Join our team as a part-time intern focused on data science and business analytics. This internship offers hands-on experience with data tools, exposure to commercial strategy, and opportunities to contribute to meaningful projects while learning from experienced professionals.

Key Responsibilities

Data Science & Insights

• Assist in building predictive models and basic machine learning tools to identify trends.

• Help translate data into clear, actionable insights for business teams.

• Support the development of dashboards and visualizations using tools like Power BI.

• Data Analysis & Market Research

• Analyze customer behavior and market trends under guidance.

• Contribute to market segmentation efforts and performance reporting.

• Help prepare executive summaries and competitive benchmarking reports.

Database & Infrastructure Support

• Learn to work with structured and unstructured data sources.

• Assist in maintaining data integrity and supporting analytics pipelines.

• Support data security and access protocols as needed.

Process Improvement & Automation

• Participate in process improvement initiatives using Lean and AI tools.

• Help automate simple tasks related to commissions and deal tracking.

• Learn and apply basic RBS (Ralliant Business System) tools.

Technology & Innovation

• Explore digital tools like Power BI, Power Automate, and RPA.

• Assist in evaluating new technologies that support business goals.

• Collaborate with IT and business teams to understand technology needs.

Team Collaboration

• Work alongside sales, marketing, finance, and IT teams.

• Attend team meetings and contribute to cross-functional projects.

• Receive mentorship and training from experienced analysts and data scientists.

Ralliant Corporation Overview

Ralliant, originally part of Fortive, now stands as a bold, independent public company driving innovation at the forefront of precision technology. With a global footprint and a legacy of excellence, we empower engineers to bring next-generation breakthroughs to life — faster, smarter, and more reliably. Our high-performance instruments, sensors, and subsystems fuel mission-critical advancements across industries, enabling real-world impact where it matters most. At Ralliant we’re building the future, together with those driven to push boundaries, solve complex problems, and leave a lasting mark on the world.

We Are an Equal Opportunity Employer

Ralliant Corporation and all Ralliant Companies are proud to be equal opportunity employers. We value and encourage diversity and solicit applications from all qualified applicants without regard to race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity or expression, or other characteristics protected by law. Ralliant and all Ralliant Companies are also committed to providing reasonable accommodations for applicants with disabilities. Individuals who need a reasonable accommodation because of a disability for any part of the employment application process, please contact us at

About Tektronix

Tektronix, a wholly owned subsidiary of Ralliant Corporation, is a place where people are challenged to explore the boundaries of what’s possible, bringing the digital future one step closer every day. Through precision-engineered measurement solutions, we work with our customers to eliminate the barriers between inspiration and realization of world-changing technologies. We believe that cultivating a deeper sense of loyalty and belonging is key to how we attract and retain our best people. This reality inspires our Inclusion & Diversity vision, We Are More Together, and guides our approach as we all work toward creating great places where our teams work and thrive. Realize your true potential at Tektronix – join us in revolutionizing a better tomorrow!

We Are an Equal Opportunity Employer. Ralliant Corporation and all Ralliant Companies are proud to be equal opportunity employers. We value and encourage diversity and solicit applications from all qualified applicants without regard to race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity or expression, or other characteristics protected by law. Ralliant and all Ralliant Companies are also committed to providing reasonable accommodations for applicants with disabilities. Individuals who need a reasonable accommodation because of a disability for any part of the employment application process, please contact us at

Pay Range

The salary range for this position (in local currency) is 20.0 - 40.0

Overview
Join our team as a part-time intern focused on data science and business analytics. This internship offers hands-on experience with data tools, exposure to commercial strategy, and opportunities to contribute to meaningful projects while learning from experienced professionals.
Key Responsibilities
**Data Science & Insights**
+ Assist in building predictive models and basic machine learning tools to identify trends.
+ Help translate data into clear, actionable insights for business teams.
+ Support the development of dashboards and visualizations using tools like Power BI.
+ **Data Analysis & Market Research**
+ Analyze customer behavior and market trends under guidance.
+ Contribute to market segmentation efforts and performance reporting.
+ Help prepare executive summaries and competitive benchmarking reports.
**Database & Infrastructure Support**
+ Learn to work with structured and unstructured data sources.
+ Assist in maintaining data integrity and supporting analytics pipelines.
+ Support data security and access protocols as needed.
**Process Improvement & Automation**
+ Participate in process improvement initiatives using Lean and AI tools.
+ Help automate simple tasks related to commissions and deal tracking.
+ Learn and apply basic RBS (Ralliant Business System) tools.
Technology & Innovation
+ Explore digital tools like Power BI, Power Automate, and RPA.
+ Assist in evaluating new technologies that support business goals.
+ Collaborate with IT and business teams to understand technology needs.
Team Collaboration
+ Work alongside sales, marketing, finance, and IT teams.
+ Attend team meetings and contribute to cross-functional projects.
+ Receive mentorship and training from experienced analysts and data scientists.
**Ralliant Corporation Overview**
Ralliant, originally part of Fortive, now stands as a bold, independent public company driving innovation at the forefront of precision technology. With a global footprint and a legacy of excellence, we empower engineers to bring next-generation breakthroughs to life - faster, smarter, and more reliably. Our high-performance instruments, sensors, and subsystems fuel mission-critical advancements across industries, enabling real-world impact where it matters most. At Ralliant we're building the future, together with those driven to push boundaries, solve complex problems, and leave a lasting mark on the world.
We Are an Equal Opportunity Employer
Ralliant Corporation and all Ralliant Companies are proud to be equal opportunity employers. We value and encourage diversity and solicit applications from all qualified applicants without regard to race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity or expression, or other characteristics protected by law. Ralliant and all Ralliant Companies are also committed to providing reasonable accommodations for applicants with disabilities. Individuals who need a reasonable accommodation because of a disability for any part of the employment application process, please contact us at
**About Tektronix**
Tektronix, a wholly owned subsidiary of Ralliant Corporation, is a place where people are challenged to explore the boundaries of what's possible, bringing the digital future one step closer every day. Through precision-engineered measurement solutions, we work with our customers to eliminate the barriers between inspiration and realization of world-changing technologies. We believe that cultivating a deeper sense of loyalty and belonging is key to how we attract and retain our best people. This reality inspires our Inclusion & Diversity vision, We Are More Together, and guides our approach as we all work toward creating great places where our teams work and thrive. Realize your true potential at Tektronix - join us in revolutionizing a better tomorrow!
We Are an Equal Opportunity Employer. Ralliant Corporation and all Ralliant Companies are proud to be equal opportunity employers. We value and encourage diversity and solicit applications from all qualified applicants without regard to race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity or expression, or other characteristics protected by law. Ralliant and all Ralliant Companies are also committed to providing reasonable accommodations for applicants with disabilities. Individuals who need a reasonable accommodation because of a disability for any part of the employment application process, please contact us at
**Pay Range**
The salary range for this position (in local currency) is 20.0 - 40.0

**Company :**
Highmark Health
**Job Description :**
**JOB SUMMARY**
We are seeking a visionary and experienced Data Science Manager to lead our team of innovative data scientists within the AI Platforms and Services team. Reporting directly to the Director of AI Platforms and Services, this pivotal role focuses on research and development, guiding a team dedicated to exploring the cutting edge of Generative AI to solve complex business problems and pioneer new solutions in the healthcare technology space.
In your role, research involves identifying innovative ways to apply generative AI to solving complex business challenges, ensuring its transformative potential is realized across diverse domains. The team is dedicated to developing foundational frameworks such as Gen AI app/AI agent design standards, rigorous evaluation methods, and Responsible AI (RAI) principles, which underpin multiple applications and use cases developed on our platforms. Additionally, you will guide a group of data scientists tasked with exploring generative AI use cases and creating proofs of concept (POCs) that pave the way for impactful deployments.
As the leader of our data science R&D efforts, you will lead, manage, and mentor a team of 5 to 6 talented professionals with varying experiences, fostering their professional growth and creating an environment of collaboration, and high performance. You will define and execute the **R&D roadmap for Generative AI foundations** , aligning research initiatives with strategic business objectives and emerging technological trends. By cultivating a culture of relentless curiosity and experimentation, you will guide the team in exploring novel gen AI techniques, architectures, and tools such as cloud platforms (AWS, Azure, GCP), programming languages (Python, R), and machine learning platforms (e.g., SageMaker, Vertex AI).
Your role involves overseeing the end-to-end process of **building and testing AI prototypes** , from initial data exploration and hypothesis testing to developing functional Gen AI modules that demonstrate feasibility and business value. While the team does not build predictive models, they focus on leveraging cutting-edge generative AI methods and tools to address complex use cases and deliver innovative solutions. You will act as the team's subject matter expert on the latest AI research, actively tracking advancements in areas like LLMs, RAG, fine-tuning, and agentic AI, and championing their application within the enterprise.
In this role, you will partner closely with Software Engineering, Infrastructure, Product Management, and Design teams to ensure a seamless transition from research to production for promising innovations. Additionally, your ability to translate complex data science/Gen AI concepts and research findings into clear, compelling narratives and strategic recommendations for both technical and non-technical stakeholders, including executive leadership, will be paramount to your success.
This is a unique opportunity to lead a brilliant team at the forefront of AI innovation, directly shaping the future of our organization's digital transformation. By driving the creation of market-differentiating AI capabilities with significant impact, you will champion a research-first mindset, uncover new opportunities in collaboration with key business stakeholders, and ensure efficient AI delivery through prototyping and innovation.
The AI Platforms and Services team is revolutionizing how our organization leverages AI. We value a collaborative, innovative, and results-oriented environment, encourage continuous learning, providing opportunities for professional development, open communication, collaboration, and a commitment to excellence on our agile team! We build and maintain the foundational infrastructure and reusable components that empower teams to rapidly develop and deploy AI-powered solutions at scale, impacting everything from streamlined operations to innovative new products. As the R&D leader on this team, you will be instrumental in driving our business strategy through AI, accelerating time-to-market, and minimizing risk across the enterprise. Join us and build the future of AI!
**ESSENTIAL RESPONSIBILITIES**
+ Perform management responsibilities to include, but are not limited to: involved in hiring and termination decisions, coaching and development, rewards and recognition, performance management and staff productivity.Plan, organize, staff, direct and control the day-to-day operations of the department; develop and implement policies and programs as necessary; may have budgetary responsibility and authority.
+ Create and communicate the product/capability vision, strategy and roadmap across multiple products or capabilities. Own the product/capability backlog and uses multi-stakeholder input to refresh and re-prioritize the backlog to drive business value. Clearly articulates backlog items and acceptance criteria to the team, and represent the capability in all governance meetings. Proactively identify new initiatives/themes and builds out backlog items under these new initiatives or themes based upon value. Empower team to manage their work by setting clear priorities and success metrics against the backlog.
+ Work directly with the business to understand their questions, business processes, programs and/ or initiatives, then oversee the identification and delivery of analytical solutions which support them to deliver value in production.This requires technical flexibility, strong knowledge of and delivery record in advanced analytical approaches.
+ Consult with the business to contextualize and translate the results of our analysis in a form which the business can understand and act upon. This will be include written reports, presentation and data visualizations, and draws clear lines between the high-level problem specifications, the analyses performed, and how the results link directly back to business objectives.Network in the wider organization to find new stakeholders and broaden the impact of the advanced analytic products / capabilities.
+ Research self-directed new analytical skills and approaches, building relationships internally and externally to transfer knowledge and maintain their position as subject matter experts, consult with fellow data scientists and analysts to guide analysis and deliver larger projects.
+ Other duties as assigned or requested.

**EDUCATION**
**Required**
+ Master's Degree in STEM (Science, Technology, Engineering, Mathematics) **OR** Bachelor's Degree + 3 years of relevant work experience in lieu of a Master's Degree
**Preferred**
+ Doctorate degree in STEM (Science, Technology, Engineering, Mathematics)
**EXPERIENCE**
**Required**
+ 7 years of Data Analytics, Academic Research, and/or Work Experience
+ 2 years of Data Analytics, Academic Research, and/or Work Experience (if PhD Education)
To Include
+ 1 year of Using Large Data-sets
+ 1 year in Predictive Modeling or Advanced Statistics
+ 1 year presenting complex analytics to non-technical audiences
**Preferred**
+ Proven experience leading and mentoring data science or AI engineering teams, fostering a culture of innovation, collaboration, and continuous learning.
+ Experience in building and managing high-performing teams in a research-focused environment.
+ Deep understanding of generative AI tools, architecture, and frameworks such as cloud platforms (AWS, Azure, GCP), programming languages (Python, R), and machine learning platforms (e.g., SageMaker, Vertex AI).
+ Excellent verbal written and oral presentation skills.
+ Demonstrated track record of communicating and collaborating with cross-functional teams and stakeholders, including executive leadership.
+ Proven collaboration skills in coordinating with technical teams, software development teams, data experts and engineers.
+ Proven ability to translate complex technical information to business stakeholders.
+ Exceptional problem-solving and critical-thinking skills, and ability to work effectively both independently and as part of a team.

**LICENSES AND CERTIFICATIONS**
**Required**
+ None
**Preferred**
+ None
**SKILLS**
+ Analytics
+ Agile
+ Stakeholder Management
+ Presentation
+ Communication
+ People Management
+ Project Management

**Language (Other than English)**
None
**Travel Required**
0% - 25%
**PHYSICAL, MENTAL DEMANDS and WORKING CONDITIONS**
**Position Type**
Office-Based
Teaches / trains others regularly
Frequently
Travel regularly from the office to various work sites or from site-to-site
Never
Works primarily out-of-the office selling products/services (sales employees)
Never
Physical work site required
No
Lifting: up to 10 pounds
Frequently
Lifting: 10 to 25 pounds
Occasionally
Lifting: 25 to 50 pounds
Rarely
**_Disclaimer:_** _The job description has been designed to indicate the general nature and essential duties and responsibilities of work performed by employees within this job title. It may not contain a comprehensive inventory of all duties, responsibilities, and qualifications required of employees to do this job._
**_Compliance Requirement:_** _This job adheres to the ethical and legal standards and behavioral expectations as set forth in the code of business conduct and company policies._
_As a component of job responsibilities, employees may have access to covered information, cardholder data, or other confidential customer information that must be protected at all times. In connection with this, all employees must comply with both the Health Insurance Portability Accountability Act of 1996 (HIPAA) as described in the Notice of Privacy Practices and Privacy Policies and Procedures as well as all data security guidelines established within the Company's Handbook of Privacy Policies and Practices and Information Security Policy._
_Furthermore, it is every employee's responsibility to comply with the company's Code of Business Conduct. This includes but is not limited to adherence to applicable federal and state laws, rules, and regulations as well as company policies and training requirements._
**Pay Range Minimum:**
$108,000.00
**Pay Range Maximum:**
$201,800.00
_Base pay is determined by a variety of factors including a candidate's qualifications, experience, and expected contributions, as well as internal peer equity, market, and business considerations. The displayed salary range does not reflect any geographic differential Highmark may apply for certain locations based upon comparative markets._
Highmark Health and its affiliates prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities and prohibit discrimination against all individuals based on any category protected by applicable federal, state, or local law.
We endeavor to make this site accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact the email below.
For accommodation requests, please contact HR Services Online at
California Consumer Privacy Act Employees, Contractors, and Applicants Notice
Req ID: J262964