113 Data Science jobs in Eden Prairie

**Location:**
Remote, United States
**Employment Type:**
FullTime
**Location Type:**
Remote
**Department**
Finance & Operations, Business Technology, Data, & Operations
**Compensation:**
$292.5K - $351K
_At Confluent, we are committed to providing competitive pay and benefits that are in line with industry standards. We analyze and carefully consider several factors when determining compensation, including work history, education, professional experience, and location. The actual pay may vary depending on your skills, qualifications, experience, and work location. In addition, Confluent offers a wide range of employee benefits. To learn more about our benefits click_ here ( _._
**Overview**
We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them.
It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together.
One Confluent. One Team. One Data Streaming Platform.
**About the Role:**
The Data Science Team is at the heart of our company, building the central nervous system that drives better and faster decisions through data and predictive models. We are seeking an inspirational leader to guide a team of highly skilled data scientists in creating advanced forecasting models and predictive solutions using state of the art ML infrastructure.
We need a hands-on independent leader with expertise in various time series techniques and supervised and unsupervised modeling. This role also requires a strong advocate for MLOps to ensure team productivity and efficiency, along with a deep understanding of open-source libraries like MLFlow and Hydra to build scalable models with best practices.
If you are a visionary with a passion for ML and a knack for fostering innovation, we want to chat with you. The journey will be rewarding in every sense. Join us and make an impact!
**What You Will Do:**
+ Leadership and Team Management:
+ Lead and mentor a team of highly skilled data scientists, fostering a collaborative and innovative environment.
+ Develop and execute a strategic vision for the ML Data Science team, aligning with company goals.
+ Ensure the team delivers high-quality predictive models and forecasting solutions that drive business value.
+ Stakeholder Collaboration and Communication:
+ Collaborate with cross-functional teams to understand business needs and translate them into data science projects.
+ Communicate complex technical concepts and results to non-technical stakeholders in a clear and actionable manner.
+ Time Series Forecasting:
+ Utilize statistical time series methodologies such as ARIMA and SARIMA, advanced forecasting strategies with deep learning, transformers, and LLMs to develop precise and scalable forecasting models.
+ Decompose time series data into trend, seasonality, baseline, and error components to improve forecast accuracy.
+ Experiment with and implement novel approaches to enhance forecasting performance.
+ Supervised, Unsupervised, and Deep Learning Modelling:
+ Apply unsupervised learning techniques for customer segmentation and insights.
+ Build supervised learning models for classification tasks such as NBA, churn prediction, and cross-sell opportunities.
+ Develop and deploy deep learning models to solve complex business problems and enhance predictive accuracy.
+ MLOps and Best Practices:
+ Implement MLOps to streamline model development, deployment, and monitoring, enhancing team productivity and efficiency.
+ Utilize open-source libraries such as MLFlow and Hydra to ensure scalable and reproducible model development.
+ Advocate for and enforce best practices in data science and machine learning workflows.
+ Continuous Learning and Innovation:
+ Stay up-to-date with the latest trends and advancements in data science, machine learning, and AI.
+ Encourage continuous learning and development within the broader data team, fostering a culture of innovation.
**What You Will Bring:**
+ Advanced degree in Computer Science, Engineering, Statistics, or a related technical field.
+ 10+ years of industry experience in Data Science, preferably in companies with a strong data-driven culture.
+ 5+ years of experience leading and mentoring Data Science teams, collaborating with Data Engineering, enterprise systems, and Business Unit embedded operations teams.
+ Proven leadership in developing and executing strategic visions for ML Data Science teams aligned with company goals.
+ Proficiency in Python and data science libraries such as tensorflow, scikit-learn, pandas, NumPy, etc., for model development, evaluation, and deployment.
+ Ability to ensure the delivery of high-quality predictive models and forecasting solutions that drive business value.
+ Expertise in statistical time series methodologies such as ARIMA, SARIMA, and advanced forecasting strategies using deep learning, transformers, and LLMs.
+ Proficiency in supervised, unsupervised, and deep learning techniques for customer segmentation, classification tasks (e.g., NBA, churn prediction), and complex business problem-solving.
+ Experience implementing MLOps to streamline model development, deployment, and monitoring, enhancing team productivity and efficiency.
+ Strong communication and presentation skills to collaborate with cross-functional teams, translate business needs into data science projects, and communicate technical concepts to non-technical stakeholders effectively.
**What Gives You an Edge:**
+ Experience with GCP Vertex AI ML platform or similar platforms for model development, deployment, and management.
+ Experience implementing MLOps best practices to streamline end to end model building.
+ Experience in effectively driving measurable business outcomes using advanced modeling techniques
**Ready to build what's next? Let's get in motion.**
**Come As You Are**
Belonging isn't a perk here. It's the baseline. We work across time zones and backgrounds, knowing the best ideas come from different perspectives. And we make space for everyone to lead, grow, and challenge what's possible.
We're proud to be an equal opportunity workplace. Employment decisions are based on job-related criteria, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by law.

**Summary:**
We're looking for a seasoned analytics leader to drive data-informed decisions for Meta. You will play a critical role in helping Meta build the platforms of the future. You will partner with the product and business teams that build and grow our infrastructure for the future of Meta. You will be focused on results, be proactive, deliver rigorous analyses, and use data to drive change in products, strategies, and organizations.About the role:People leadership: You will inspire, lead and grow a world-class team.Product leadership: You will use data to shape development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a broad toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
**Required Skills:**
Data Science Director Responsibilities:
1. Inspire, lead and grow a distributed team of data scientists and data science leaders across North America
2. Apply your expertise in quantitative analysis, data mining, and the presentation of data in developing data-informed strategies for growing and improving our product offerings.
3. Contribute to long-term technical vision and strategy methods and metrics that will improve the quality and efficiency of our products at scale.
4. Lead development and communication of product area insights and recommended action items with Meta Analytics leadership.
**Minimum Qualifications:**
Minimum Qualifications:
5. 10+ years of work experience managing analytics teams, working collaboratively with Product and Infrastructure teams, and guiding data-influenced product and business planning, prioritization and strategy development.
6. Demonstrated experience in hiring, retaining and scaling geographically dispersed, high-performing teams with a broad range of experiences, perspectives, approaches, and backgrounds
7. Proven experience influencing strategy and driving change across org boundaries through clear and compelling communication of data-driven insights and analyses.
8. Intellectual curiosity, drive, and decisiveness with ambiguous and complex enviornments.
9. Experience working effectively with multiple stakeholders and cross-functionally.
10. Effective communication skills.
**Preferred Qualifications:**
Preferred Qualifications:
11. Experience with both product and business analytics work and demonstrated to deliver an integrated approach.
**Public Compensation:**
$253,000/year to $314,000/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

Deloitte is a leader in GenAI products and solutions. We are looking for a highly skilled and experienced Manager to drive the ground-breaking GenAI products we are creating within Strategic Analytics. The ideal candidate will have a strong background in the design and implementation of GenAI models and agents, as well as an expertise in building and maintaining front-end UIs. Your work will be integral to deliver on some of the most important priorities happening at Deloitte. If you seek a role that focuses on cutting edge technology, delivers solutions for executive leadership, revolutionizes the future of Finance, and prioritizes professional growth, look no further.
The team
Strategic Analytics sits within our Finance FP&A organization. We support the firm and business executive leaders along with our counterparts in other financial and operational roles. Our team leverages cloud computing, AI & data science, strategic thinking, and deep firm knowledge to support leadership's most important business decisions. Our insights are integral to driving growth into the future.
GenAI is a top priority for the future of the firm. We are actively building products and solutions that will revolutionize our firm and our clients. The selected candidate would be directly involved in the success of these engagements.
Specific responsibilities and qualifications for the Data Science Manager role are outlined below.
Recruiting for this role ends on August 11, 2025
Work you'll do Core responsibilities:
+ Lead the design, development, and implementation of GenAI models & agents
+ Manage the creation & maintenance of intuitive and engaging UI/UX for analytics tools and applications
+ Develop timelines, milestones, and metrics to effectively plan and execute projects
+ Collaborate with firm & business leaders, other FP&A teams and other key stakeholders on project deliverables and progress
+ Ensure the scalability, reliability, and performance of AI models and analytics platforms
+ Manage and mentor a team of data scientists, AI engineers, and UI/UX designers
+ Translate complex technical concepts and insights to non-technical stakeholders
+ Support and build presentations on our GenAI products & solutions for clients and leadership
+ Develop and implement best practices for AI model development, deployment, and monitoring
Other responsibilities:
+ Collaborate with cross-functional teams to identify new GenAI opportunities to drive business value
+ Drive the strategic vision for AI and analytics within the organization, aligning with overall business goals
+ Stay current with the latest advancements in GenAI, AI/ML, and UI/UX design
+ Automate and streamline projects to increase efficiencies and scalability
+ Support ad-hoc requests and investigations into the data & process that support our GenAI tools
QualificationsRequired:
+ Bachelor's degree in AI / Data Science or a related subject
+ Minimum of 5+ years of relevant experience
+ Limited immigration sponsorship may be available
+ Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve
+ Demonstrated accomplishments in the following areas:
+ Advanced understanding of data science coding languages (Python, R, SQL)
+ Experience developing GenAI solutions with LLMs (Llama, ChatGPT)
+ Experience with cloud platforms (Databricks, Microsoft Azure)
+ Experience with visualizations tools (Tableau, Power BI)
+ Advanced in MS Office (Excel, PowerPoint, Outlook, Teams)
+ Implementing complex AI/ML algorithms
+ Strong project management skills
+ Excellent problem-solving skills and the ability to think strategically
+ Strong leadership and team management skills
+ Excellent communication and interpersonal skills
Preferred:
+ Advanced education degree
+ Certifications in GenAI, AI/ML, or UI/UX design
+ Experience with front-end development (HTML, CSS, JavaScript, React)
+ Experience in the financial services or consulting industry
+ Business knowledge on financial and operational data
Information for applicants with a need for accommodation: wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $113,100-$232,300.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

**Summary:**
As a Data Science Manager at Meta, you will help shape the future of the experiences we build for billions of people and hundreds of millions of businesses, creators, and partners around the world.You will apply your people leadership, project management, analytical, and technical skills, creativity, and product intuition to one of the largest data sets in the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will influence product strategy and investment decisions with data, be focused on impact, and lead and grow a high-performing team. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.About the role:Product leadership: You will use data to understand the product and business ecosystem, quantify new opportunities, identify upcoming challenges, and shape product development to bring value to people, businesses, and Meta. You will help develop strategy and support leadership in prioritizing what to build and setting goals for execution.Analytics: You will guide product teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence leaders using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.People leadership: You will inspire, lead and grow a world-class team of data scientists and data science leaders.
**Required Skills:**
Data Science Manager, Analytics Responsibilities:
1. Lead a team of data scientists to develop strategies for our products that serve billions of people and hundreds of millions of businesses, creators, and partners around the world
2. Drive analytics projects end-to-end in partnership with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions
3. Influence product direction through clear and compelling presentations to leadership
4. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches
5. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends
6. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations
7. Contribute towards advancing the Data Science discipline at Meta, including but not limited to driving data best practices (e.g. analysis, goaling, experimentation), improving analytical processes, scaling knowledge and tools, and mentoring other data scientists
**Minimum Qualifications:**
Minimum Qualifications:
8. Currently has, or is in the process of obtaining, a Bachelor's degree or equivalent practical experience. Degree must be completed prior to joining Meta
9. A minimum of 4 years of work experience (2+ years with a Ph.D.) in applied analytics, including a minimum of 2 years of experience managing analytics teams
10. Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
11. Experience initiating and completing analytical projects with minimal guidance
12. Experience communicating results of analysis to senior leadership
**Preferred Qualifications:**
Preferred Qualifications:
13. Master's or Ph.D. degree in Mathematics, Statistics, Computer Science, Engineering, Economics, or another quantitative field.
14. Experience working in technology, consulting, or finance.
15. Proven track record of leading high-performing analytics teams.
**Public Compensation:**
$173,000/year to $242,000/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

**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

**Brand:** Post Consumer Brands
**Categories:** Information Technology
**Locations:** Lakeville, Minnesota
**Position Type:** Regular Full-Time
**Remote Eligible:** No
**Req ID:** 27366
**Job Description**
**Business Unit Overview**
Headquartered in Lakeville, Minn., Post Consumer Brands, a business unit of Post Holdings, Inc., is dedicated to providing people and their pets with delicious food choices for every taste and budget. The company's portfolio includes beloved brands such as Honey Bunches of Oats®, PEBBLES®, Grape-Nuts® and Malt-O-Meal® cereal, and Peter Pan® peanut butter, as well as Nutrish®, Kibbles 'n Bits® and 9Lives® dog and cat food. As a company committed to high standards of quality and to our values, we are driven by one idea: To make lives better by making delicious food accessible for all. For more information about our brands, visit and follow us on LinkedIn and Facebook for the latest news. Brand At Post Consumer Brands, we've spent generations showing up for families, starting with breakfast, the most important meal of the day. Our cereals have become a trusted part of daily routines, helping spark conversations, fuel busy mornings, and create everyday moments that bring families closer together, including their furry four-legged family members, who have recently become a part of our story. As families have evolved, so have we. What began at the breakfast table has expanded into snacks, peanut butter, and, more recently, pet food, because caring for a family means feeding every part of it. With the addition of several iconic pet brands, we've extended our purpose: to make high-quality, accessible food for everyone under the same roof. This phase is still new, and that's what makes it exciting. As we continue to grow across grocery and pet, we're looking for people who care about good food, thoughtful work, and the kind of impact that stretches from store shelves to kitchen tables, and food bowls, across the country. Location Description Post Consumer Brands corporate headquarters in Lakeville, Minn. is about 20 miles south of Minneapolis and St. Paul, Lakeville has all the benefits of smaller town living with access to everything a large metropolitan area has to offer. Join more than 400 team members collaborating on the two-building campus to help put breakfast on the tables of millions of consumers in North America. Responsibilities Do you see patterns or opportunities in data that others don't see? Do you enjoy asking questions and analyzing data to deepen your knowledge? Do you like to challenge historical assumptions and recommend new ways to drive action based on data driven insights? Do you like to find innovative ways to tackle a problem and share the approach with others? As a Sr. Manager of Data Science and GenAI at Post Consumer Brands, you will be at the forefront of leveraging data to drive strategic decisions and innovation. You will partner with business stakeholders to identify key business problems and opportunities, design and implement cutting-edge solutions, and communicate actionable insights to drive business growth. Leading a small team of Data Scientists, Machine Learning Engineers, and AI Specialists, you will foster a culture of innovation and excellence. Major Job Activities and Duties Provide thought leadership and strategic thinking to translate business problems into analytical frameworks and recommend actions. You will be at the forefront of establishing Data Science capability at Post Consumer Brands, working closely with Post Holdings to leverage existing tools and standards, and making a significant impact by building next-generation data products for PCB. Engage in AI/ML research and stay ahead of the curve on emerging GenAI advancements. You seek out opportunities to apply state-of-the-art methods to real-world problems. You are passionate about GenAI and can bring together cross-functional teams to drive adoption and innovation. Design, develop, and deploy advanced data science and generative AI models to address complex business challenges and promote data science adoption across the company. Partner with leaders in finance, manufacturing, supply chain, sales, and marketing to understand and prioritize the highest-value business problems/opportunities and create data science applications with quantifiable revenue lift, cost reduction/avoidance, and/or efficiency gain. Lead and mentor a team of data scientists, ML Engineers and AI Specialists fostering a collaborative and innovative environment. You have a passion for educating, training, developing technical talent to achieve great results and build a high performing team. Efficiently manage resources and prioritize projects to align with company strategy and top priorities. Collect, clean, and analyze data from various sources and prepare it for modeling and visualization. Responsible for ML Ops and model Do post-mortem analyses and evaluate analytics and modeling outputs for accuracy continuously and adjust models as necessary. Develop KPIs to track and communicate the business value of solutions implemented. Interpret and communicate the results and recommend actions to the relevant stakeholders in a clear and understandable manner. Develop clear and intuitive data visualizations and dashboards in Tableau or PowerBI. Effectively communicate project plans, roadmaps and status, priorities with stakeholders and teammates in a timely manner. Provide guidance, feedback, training, development and support to junior data scientists and ensure the quality and accuracy of their work. Educate Stakeholders on data science use cases, methods and ethics Demonstrated ability to effectively manage and prioritize projects with constrained resources, ensuring alignment with company strategy and top priorities. Proven resourcefulness in leveraging cross-functional resources to achieve business objectives. Implement a comprehensive GenAI strategy in collaboration with senior IT leaders across Post Holdings companies, ensuring alignment with organizational goals and leveraging existing technological frameworks. Evangelize and communicate the GenAI strategy to stakeholders at all levels to drive adoption and understanding. Partner with other IT teams that support users to ensure usage follows best practices and they can help support user. Qualifications Education: Bachelor's degree from four-year college or university and advanced degree preferred (Computer Science, Management Information Systems, Economics, Finance, Business, Mathematics, Statistics, or other quantitative subject a plus) or seven to 10 years related experience; or equivalent combination of education and experience. Experience: 6-8 years of proven experience leading collaborative data science projects with technical and non-technical stakeholders, driving and communicating tangible business value succinctly 4-6 years of development experience in an object-oriented programming language (Python 3.x preferred). Knowledge of software design (libraries, classes, functions), testing (logging, debugging), and versioning (Git, continuous deployment) Experience building products that use or incorporate Large Language Models. Experience with machine learning platforms and cloud computing, e.g., Microsoft Azure ML (preferred), Amazon SageMaker, Google Vertex AI Demonstrated expertise in open-source libraries for advanced data analysis, statistical/machine learning models, and optimization, e.g. Pandas, Sci-Kit learn, Scipy, and OR Tools for Python 4-6 years of experience designing solutions with business intelligence, reporting, or data visualization software packages (Tableau, PowerBI, Qlik, Looker, Cognos, R Shiny, D3, Python matplotlib) Excellent written and verbal communication skills, including the ability to concisely convey analytical interpretation and/or data issues to business functions. Ability to prioritize and manage multiple projects and competing priorities, and follow-through on committed deliverables using team-based project management with both Agile and Waterfall approaches to meet deadlines and deliver high-quality work. Complex relational database development, maintenance, and exception testing experience (Snowflake, Oracle, etc.). The pay range for this position is $110,667 - $172,640 per year.
Post Holdings provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, genetic information, marital status, status as a covered veteran and any other category protected under applicable federal, state, provincial and local laws.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. 41 CFR 60-1.35(c)

**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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