7,096 Data Science Manager jobs in the United States

Summary:

We are seeking experienced Managers of Data Science to lead Data Science teams that drive strategic insights, operational support and data foundations across multiple domains that merge AI solutions (e.g., AI Agents, LLM-generated labels for model training and evals, LLM-based content moderation) and Human-provided solutions (e.g., Customer Support Agents, Human-generated labels for training and evals, and Human-driven content moderation). In this role, you will be responsible for developing and executing a data strategy for evaluating model and human performance against incoming requirements, inclusive of quality, speed, and cost dimensions. You’ll be critical to driving customer satisfaction, protecting voice, reducing harm, retaining millions of users and billions in revenue, and driving down operational costs. You will work closely with cross-functional teams to identify opportunities, design experiments, and help develop AI and automation solutions.

Required Skills:

Data Science Manager Responsibilities:

1. Labeling spend management: Inform and drive multi-billion spend management and optimizations

2. develop and execute a comprehensive data science strategy that aligns with the organization’s overall goals and objectives

3. Labeling delivery performance: Inform and drive labeling performance improvements and optimizations in an evolving mix of AI-generated labels and Human-generated labels

4. Customer support performance: Inform and drive customer support performance improvements and optimizations in an evolving mix of AI Agents and Human Agents

5. develop and execute a comprehensive data science strategy for evolving the role of AI and human experts in providing industry leading customer support

6. High Data Science Bar: Grow and manage a high-performing Data Science team that remains agile and impactful under a high degree of uncertainty during technological transformations

7. Collaboration: Collaborate closely with Directors and VP level stakeholders in a highly-matrixed organization dynamics

Minimum Qualifications:

Minimum Qualifications:

1. 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

2. A minimum of 7 years of work experience (3+ years with a Ph.D.) in applied quantitative field, including + years of experience managing analytics teams

3. 7+ years of experience in a team leadership role, including 2+ years of experience with people management through layers

4. Experience communicating both in low-level technical details as well as high-level strategies

5. Experience in cross-functional partnership among teams of Engineering, Design, Product Management, Data Engineering

6. Experience with driving product roadmap and execution

Preferred Qualifications:

Preferred Qualifications:

1. Expertise in AI Agentic solutions, LLM performance and evals

2. Interest in an ecosystem role that will encompass a well-defined but broad set of initiatives (e.g., budget management, operational efficiency, and customer support performance)

3. Communication skills in VP-level leadership forums

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

Join to apply for the Data Science Manager role at Meta

Join to apply for the Data Science Manager role at Meta

This range is provided by Meta. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

$206,000.00/yr - $81,000.00/yr

We are seeking experienced Managers of Data Science to lead Data Science teams that drive strategic insights, operational support and data foundations across multiple domains that merge AI solutions (e.g., AI Agents, LLM-generated labels for model training and evals, LLM-based content moderation) and Human-provided solutions (e.g., Customer Support Agents, Human-generated labels for training and evals, and Human-driven content moderation). In this role, you will be responsible for developing and executing a data strategy for evaluating model and human performance against incoming requirements, inclusive of quality, speed, and cost dimensions. You’ll be critical to driving customer satisfaction, protecting voice, reducing harm, retaining millions of users and billions in revenue, and driving down operational costs. You will work closely with cross-functional teams to identify opportunities, design experiments, and help develop AI and automation solutions.

Data Science Manager Responsibilities:

• Labeling spend management: Inform and drive multi-billion spend management and optimizations
• develop and execute a comprehensive data science strategy that aligns with the organization’s overall goals and objectives
• Labeling delivery performance: Inform and drive labeling performance improvements and optimizations in an evolving mix of AI-generated labels and Human-generated labels
• Customer support performance: Inform and drive customer support performance improvements and optimizations in an evolving mix of AI Agents and Human Agents
• develop and execute a comprehensive data science strategy for evolving the role of AI and human experts in providing industry leading customer support
• High Data Science Bar: Grow and manage a high-performing Data Science team that remains agile and impactful under a high degree of uncertainty during technological transformations
• Collaboration: Collaborate closely with Directors and VP level stakeholders in a highly-matrixed organization dynamics
  
  

• 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
• A minimum of 7 years of work experience (3+ years with a Ph.D.) in applied quantitative field, including + years of experience managing analytics teams
• 7+ years of experience in a team leadership role, including 2+ years of experience with people management through layers
• Experience communicating both in low-level technical details as well as high-level strategies
• Experience in cross-functional partnership among teams of Engineering, Design, Product Management, Data Engineering
• Experience with driving product roadmap and execution
  
  

• Expertise in AI Agentic solutions, LLM performance and evals
• Interest in an ecosystem role that will encompass a well-defined but broad set of initiatives (e.g., budget management, operational efficiency, and customer support performance)
• Communication skills in VP-level leadership forums
  
  

• Seniority level Not Applicable

• Employment type Full-time

• Job function Engineering and Information Technology
• Industries Technology, Information and Internet

Referrals increase your chances of interviewing at Meta by 2x

Get notified about new Data Science Manager jobs in Washington, DC .

District of Columbia, United States 259,100.00- 265,400.00 3 weeks ago

Annapolis Junction, MD 149,400.00- 234,700.00 1 week ago

Washington, DC 110,000.00- 132,500.00 2 months ago

District of Columbia, United States 1 week ago

McLean, VA 162,019.00- 219,203.00 1 day ago

United States 152,600.00- 283,400.00 1 day ago

College Park, MD $9 ,000.00- 110,000.00 1 month ago

Washington, DC 153,000.00- 216, hours ago

Washington, DC 85,000.00- 100,000.00 2 weeks ago

Washington, DC 125,000.00- 165, hours ago

Arlington, VA 118,100.00- 252,700.00 1 week ago

Washington, DC 103,500.00- 115,000.00 4 days ago

Washington, DC 142,600.00- 325,800.00 1 week ago

Arlington, VA 142,600.00- 325,800.00 1 week ago

Laurel, MD 164,054.00- 279,355.00 6 days ago

Chantilly, VA 142,600.00- 325,800.00 1 week ago

McLean, VA 142,600.00- 325,800.00 1 week ago

McLean, VA 205,000.00- 235,000.00 1 week ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

Fusion92 is building the future of marketing through an unparalleled, data-driven approach to solving our clients' toughest problems. We call ourselves a Marketing Transformation Partner for clients, as through a culture of curiosity, fearlessness, teamwork and leadership, we turn our expertise toward creating new paths forward where our services and technology together unlock unprecedented growth.

We’re an independent, national enterprise based in Chicago with hubs in Detroit, Austin and Denver. Fusion92 is committed to a diverse, equitable, inclusive workplace that drives a positive impact in our global community.

We are experts across every field and discipline in marketing.

Fusion92 is for those who are obsessed with curiosity and innovation. We unite data scientists, media buyers, copywriters, technologists, developers, consultants, coders, UX/UI specialists, designers, strategists, producers, operations pros and more to deliver real results and to give answers to the unanswerable.

We launch products, we have patented innovations, we create award-winning ideas — we transform businesses. We are dreamers and doers, and we are ready for you to join us.

Our difference is our people. That's where you come in.

If you're curious and looking for a remote-flexible, integrated team where you can fearlessly collaborate and deliver best-in-class work, join us!

JOB SUMMARY:

We’re seeking a highly capable Data Science Manager to lead and support a high-performing team of data scientists in delivering analytics solutions across marketing, media, and digital transformation initiatives. This hybrid role blends project leadership ,technical execution , andstrategic collaboration —ideal for a hands-on leader who thrives at the intersection of analytics, operations, and client success.

This role is equal parts team manager ,analytics expert , and translator of complexity into clarity —ensuring that all work is actionable, accurate, and aligned with business goals. The Data Science Manager also plays a key role in partnering with Strategy Operations and cross-functional teams to align on deliverables, timelines, and stakeholder expectations.

Bringing our core values — Curiosity, Fearlessness, Teamwork and Leadership —to life will be critical to the success of this individual.

Location:

Candidates must be located in Illinois, Texas, Colorado, or Michigan. For individuals based in our Michigan and Illinois locations, this will be a hybrid role, requiring both in-office and remote work. For candidates in Texas and Colorado, this position will be fully remote.

GENERAL RESPONSIBILITIES:

• Manage and mentor a team of data scientists, fostering engagement, development, and high performance.
• Assign project resources based on scope, timelines, and capabilities, ensuring optimal delivery and workload balance.
• Oversee all analytics work developed within the Data Science Science and Strategy (DSS), ensuring quality before senior review.
• Guide the team through delivery review cycles with senior analytics leaders, gaining independence over time.
• Escalate project issues or blockers to analytics leadership as needed for resolution.

Collaboration & Strategic Partnership

• Partner closely with Strategy Operations to build feasible strategies with realistic deliverables and timelines.
• Finalize project scope and timing in collaboration with strategy, ensuring alignment before execution.
• Participate in calls with Marketing Services and Client Services teams to understand project goals, clarify requests, and contribute meaningfully to scoping and planning discussions.
• Translate data science outputs into client-ready deliverables that clearly communicate key findings and implications.

Execution & Technical Expertise

• Actively contribute to technical project work—designing models, executing list pulls, running segmentation, and conducting exploratory analyses.
• Maintain rigorous standards for data integrity, model validation, and QA across all deliverables.
• Monitor internal project boards and respond to relevant updates or requests to ensure progress stays on track.
• Develop and share best practices for documentation, quality control, and analytical reproducibility.

KNOWLEDGE/SKILLS/ATTRIBUTES REQUIRED:

• 5+ years of experience in applied data science or analytics, including at least 2 years managing teams or projects.
• Proven success leading analytics projects from scoping through delivery, particularly in client-facing or agency environments.
• Strong technical proficiency in Python, R, SQL, and BI tools like Tableau or Power BI.
• Deep knowledge of marketing analytics, including segmentation, targeting, predictive modeling, and measurement.
• Ability to communicate complex methodologies and results clearly to non-technical audiences.
• Experience in marketing services, data-driven media, CRM analytics, GIS analytics or data product development.
• Familiarity with cloud platforms (AWS, GCP, Azure, Snowflake) and tools such as Databricks.
• Knowledge of Agile project management tools (e.g., Jira, Confluence) and workflows.

The hiring range for this discipline within our industry is $110,000 to $130,000. Where an employee is paid within this range will depend on multiple factors including, but not limited to location, years of experience, education, internal pay structure, and other contributing factors.

Disclaimer: All qualified candidates will receive consideration for employment without regard to age, race, creed, color, national origin, ancestry, marital status affectional or sexual orientation, gender identity or expression, disability, nationality, or sex.

Data Science Manager

Cupertino, California, United States Software and Services

Summary

Posted: Feb 11, 2025

Weekly Hours: 40

Role Number:

Help us transform how machine learning and artificial intelligence systems are evaluated for quality and safety. You will lead teams building next-generation evaluation systems that combine human and machine intelligence to assess AI models at scale. We are looking for a research manager with deep expertise in applied AI/ML who will drive innovation in automated evaluation, particularly for language models and generative AI systems.

Description

This role leads multifunctional teams developing groundbreaking approaches to AI assessment, including automated evaluation systems. You'll work with ML researchers, engineers, and domain experts to pioneer new methods for scalable, high-quality AI evaluation. We are looking for an outstanding, hands-on manager who will thrive in a fast-paced environment. We believe the most exciting problems in machine learning research arise at the intersection with real-world use cases, and this is also where the most critical breakthroughs come from.

KEY RESPONSIBILITIES:

1. Lead R&D in automated AI evaluation, including development of LLM-based assessment systems that can reliably evaluate model outputs.
2. Drive research and implementation of novel approaches to measure and improve AI system quality, safety, and alignment.
3. Build and scale evaluation infrastructure that combines human expertise with ML-powered automation.
4. Work with cross-functional partners to integrate evaluation systems into production workflows.

Minimum Qualifications

1. Master’s degree with 4+ years of industry experience, or PhD with 3+ years, or equivalent work experience.
2. 3+ years experience developing ML evaluation systems.
3. 2+ years leading technical teams in ML/AI.
4. Strong technical leadership and communication skills.

Preferred Qualifications

1. Expertise in full-stack LLM development and deployment.
2. Deep experience with LLM evaluation and automated assessments.
3. Track record scaling ML systems in production.
4. Strong product intuition and ability to identify high-impact opportunities.
5. Excellence in building and leading high-performing technical teams.

Pay & Benefits

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $200,400 and $301,400, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.

Join to apply for the Data Science Manager role at SentiLink

Join to apply for the Data Science Manager role at SentiLink

About Us

SentiLink provides innovative identity and risk solutions, empowering institutions and individuals to transact confidently with one another.

About Us

SentiLink provides innovative identity and risk solutions, empowering institutions and individuals to transact confidently with one another.

By building the future of identity verification in the United States and reinventing the currently clunky, ineffective, and expensive process, we believe strongly that the future will be 10x better.

We’ve had tremendous traction and are growing extremely quickly. Already our real-time APIs have helped verify hundreds of millions of identities, beginning with financial services. In 2021, we raised a $70M Series B round, led by Craft Ventures to rapidly scale our best in class products. We’ve earned coverage and awards from TechCrunch, CNBC, Bloomberg, Forbes, Business Insider, PYMNTS, American Banker, LendIt, and have been named to the Forbes Fintech 50 list consecutively since 2023. Last but not least, we’ve even been a part of history -- we were the first company to go live with the eCBSV and testified before the United States House of Representatives.

Role

As a Data Science Manager at SentiLink, you will directly manage a team of talented data scientists that build our suite of products: models that identify fraudsters and also advance our growing suite of products in financial risk. In this capacity, you will be relied upon to be a technical leader, mentor, and owner of your respective domain, both for your own team and the organization. Utilize your abilities as a strong data scientist to mentor your team, probe their understanding and challenge them to do their best work. Your team will often work on projects with high visibility and impact that require deep domain understanding, critical thinking and strong technical abilities. This role requires managing full-stack data scientists, whose work involves model development, analysis, and writing production code. You yourself should share that same skillset and be interested in having end-to-end ownership in a fast-moving environment where deep domain understanding drives development and unusual insights drive our competitive advantage rather than optimization of new machine learning methodologies.

Technologies: Python 3, PostgreSQL, and AWS infrastructure (EC2, S3, RDS, Redshift, etc.)

This is a remote, US-based role.

Responsibilities

Directly manage a team of highly skilled data scientists. Start from 2-3 and grow to 5-6.

Act as a technical mentor that can dive deep and provide detailed direction.

Lead planning, resourcing and communications with senior leadership, product and engineering teams.

Develop strong business intuition and guide your team to deliver performant DS solutions on aggressive timelines.

Develop and maintain SentiLink’s fraud detection models through the full model development lifespan: from data acquisition decisions through featurization, focusing labeling resources, model training, experimentation, productionalization, and monitoring.

Research new types of fraud and develop new SentiLink products around identity verification.

Achieve success by researching / developing through iteration, integration of new data sources and inventive feature engineering.

Write production-ready code that can be relied on for real-time decision making by our partners.

Design, perform, and present analyses that will inform data acquisition, product development, risk operations priorities, marketing, and sales efforts.

Requirements

10+ years relevant work experience & relevant Masters or 7+ years & relevant PhD.

2-5 years experience directly managing a team of data scientists, ideally in a startup environment.

3+ years of startup experience.

Excellent communicator and team player.

Proven track record of solving complex / high profile business problems with DS / ML solutions.

Experience in communicating outcomes / progress to senior management / stakeholders.

Very strong in “end to end” DS development: Planning, fleshing out success criteria / metrics, getting buy-in, developing the solution, delivering the solution (prod / deck / strategy doc / etc)

Strong practical ML / Stats knowledge, i.e. can easily employ the suite of standard ML / stats tools to quickly scope out solutions, and double down where needed. Experience with SOTA ML solutions is a plus

Interest in developing deep domain expertise for product-focused work: a background in fraud is not required, but willingness to learn is

Experience writing production code and tests

Detail oriented and thoughtful -- someone we can rely on to make business-changing decisions

Thrive in a fast paced environment characterized by the need to solve extremely varied, high impact, open ended problems.

Bonus for familiarity with: identity solutions, fintech, or adjacent industries

Candidates must be legally authorized to work in the United States and must live in the United States

Salary Range

$10,000/year - 260,000/year + equity + benefits

Perks

• Employer paid group health insurance for you and your dependents
• 401(k) plan with employer match (or equivalent for non US-based roles)
• Flexible paid time off
• Regular company-wide in-person events
• Home office stipend, and more!
  
  

• Follow Through
• Deep Understanding
• Whatever It Takes
• Do Something Smart

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Engineering and Information Technology
• Industries Software Development

Referrals increase your chances of interviewing at SentiLink by 2x

Get notified about new Data Science Manager jobs in San Francisco Bay Area .

San Francisco County, CA 240,000.00- 275,000.00 1 month ago

San Francisco, CA $7 ,000.00- 105,000.00 3 months ago

Stanford, CA 91,699.00- 157,989.00 2 weeks ago

San Francisco, CA 40.00- 80.00 2 months ago

Sunnyvale, CA 110,000.00- 190,000.00 2 weeks ago

San Francisco Bay Area 160,000.00- 180,000.00 2 weeks ago

San Francisco, CA 68,000.00- 110,400.00 2 weeks ago

San Francisco, CA 208,400.00- 308,800.00 2 weeks ago

San Francisco, CA 181,200.00- 268,400.00 2 weeks ago

San Jose, CA 143,000.00- 257,000.00 2 weeks ago

San Francisco, CA 160,000.00- 210, hours ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

Tatari is on a mission to revolutionize TV advertising. We work with some of your favorite disruptor brands—like Calm, Vuori, Rocket Money, and hundreds more—to grow their business using linear and streaming TV ads. Our platform combines sophisticated media buying with proprietary analytics to turn TV advertising into an automated, digital-like experience. Our technology and services are pushing the industry forward, enabling businesses of any size to advertise on TV.

Named one of the 16 Hottest Ad Tech Companies by Business Insider and Best Places to Work by Inc. Magazine, Tatari is experiencing rapid growth. Our executive team is comprised of former founders and senior leaders at fast-rising startups like Shazam, TrueCar, AdapTV, and LiveRail and larger, more established tech companies like Amazon, Google, Meta, Microsoft, and Yahoo.

We’re looking for a Data Science Manager to lead our growing AI product data science function. This is a foundational role focused on building and managing a small team of data scientists working on customer-facing features powered by machine learning and LLMs. You’ll partner closely with Product, Engineering, and Platform teams to deliver fast-moving experiments, shape the roadmap for AI innovation, and lay the foundation for scalable, production-ready AI systems. While this is not an individual contributor (IC) role, we’re looking for someone with the technical depth to meaningfully collaborate on modeling and system design, and the management experience to lead a team through execution. You’ll play a central role in shaping how AI shows up in our product and how the team behind it grows.

• Manage and grow a team of data scientists focused on AI/ML product development
• Facilitate the team’s design of algorithms and models to innovate, research, and deliver on product features that drive and expand our business opportunities
• Empower the team to innovate and explore new methodologies and improve upon existing algorithms
• Actively develop strong working relationships across Product, Engineering, and Infrastructure teams to foster alignment, drive shared decision-making, and accelerate delivery of AI-powered features
• Collaborate with partner teams to define scope, translate product requirements into technical approaches, and ensure successful delivery
• Own Data Science prioritization for AI/ML outcomes, allocate resources and manage workload
• Drive execution of AI/ML projects by tracking progress, aligning timelines with stakeholders, and ensuring timely, high-quality delivery
• Assess and mitigate risks to delivery, owning accountability for downstream business impacts
• Promote high-quality experimentation, modeling, and evaluation standards, with an emphasis on reliability and product value
• Develop lightweight but effective team processes to support fast iteration and scalable AI delivery
• Conduct performance reviews, coach team members, and support career growth planning for direct reports
• Contribute to hiring and onboarding efforts for the team

• Master’s degree or equivalent experience in a technical field (e.g., Computer Science, Mathematics, Physics, Data Science, etc.)
• 6+ years of experience in a Data Science role, or a related role in a technology environment, including 2+ years of management experience
• Strong strategic thinking and project management skills, including priority and dependency management across several large projects with multiple stakeholders
• Strong organizational and leadership skills, able to exercise judgment to make tradeoffs through cost-benefit analysis
• Ability to translate complex concepts to both technical and non-technical stakeholders and drive alignment across Product, Engineering, and Data Science
• Proven ability to lead through ambiguity and move from 0→1 with new features or systems
• Advanced knowledge of statistics and probability, particularly their application in model development
• Intermediate to advanced experience in Data Manipulation Software (e.g. SQL, Python), cloud computing environments (e.g., AWS), and ML workflows or toolkits
• Nice to have:
• PhD in a technical field
• Demonstrated experience in leading AI work, ideally including work with LLMs, embeddings, or ranking/recommender systems – with a successful track record of end-to-end implementation.
• TV Media Industry or Ad Tech experience a plus

• Competitive salary ($150,000 - $00,000/annually)
• Equity compensation
• Health insurance coverage for you and your dependents
• 401K, FSA, and commuter benefits
• 150 monthly spending account
• 1,000 annual continued education benefit
• Unlimited PTO and sick days
• Monthly Company Wellness Day Off
• Snacks, drinks, and catered lunches at the office
• Team building events
• Hybrid RTO of 2 days per week.

Tatari is an equal opportunity employer and welcomes applicants from diverse backgrounds. We are committed to creating a welcoming and inclusive environment for all employees.

Data Science Manager

Cupertino, California, United States Software and Services

Summary

Posted: Feb 11, 2025

Weekly Hours: 40

Role Number:

Help us transform how machine learning and artificial intelligence systems are evaluated for quality and safety. You will lead teams building next-generation evaluation systems that combine human and machine intelligence to assess AI models at scale. We are looking for a research manager with deep expertise in applied AI/ML who will drive innovation in automated evaluation, particularly for language models and generative AI systems.

Description

This role leads multifunctional teams developing groundbreaking approaches to AI assessment, including automated evaluation systems. You'll work with ML researchers, engineers, and domain experts to pioneer new methods for scalable, high-quality AI evaluation. We are looking for an outstanding, hands-on manager who will thrive in a fast-paced environment. We believe the most exciting problems in machine learning research arise at the intersection with real-world use cases, and this is also where the most critical breakthroughs come from.

KEY RESPONSIBILITIES:

1. Lead R&D in automated AI evaluation, including development of LLM-based assessment systems that can reliably evaluate model outputs.
2. Drive research and implementation of novel approaches to measure and improve AI system quality, safety, and alignment.
3. Build and scale evaluation infrastructure that combines human expertise with ML-powered automation.
4. Work with cross-functional partners to integrate evaluation systems into production workflows.

Minimum Qualifications

1. Master’s degree with 4+ years of industry experience, or PhD with 3+ years, or equivalent work experience.
2. 3+ years experience developing ML evaluation systems.
3. 2+ years leading technical teams in ML/AI.
4. Strong technical leadership and communication skills.

Preferred Qualifications

1. Expertise in full-stack LLM development and deployment.
2. Deep experience with LLM evaluation and automated assessments.
3. Track record scaling ML systems in production.
4. Strong product intuition and ability to identify high-impact opportunities.
5. Excellence in building and leading high-performing technical teams.

Pay & Benefits

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $200,400 and $301,400, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.

Overview

Join to apply for the Data Science Manager, Personalization role at DraftKings Inc.

At DraftKings, AI is becoming an integral part of both our present and future, powering how work gets done today, guiding smarter decisions, and sparking bold ideas. It’s transforming how we enhance customer experiences, streamline operations, and unlock new possibilities. Our teams are energized by innovation and readily embrace emerging technology. We’re not waiting for the future to arrive. We’re shaping it, one bold step at a time. To those who see AI as a driver of progress, come build the future together.

The Crown Is Yours

• Lead, manage, and mentor a team of data scientists and engineers focused on delivering impactful personalization initiatives.
• Guide your team through the Software Development Lifecycle (SDLC), championing technical rigor and engineering best practices.
• Partner with Product, Engineering, and business stakeholders to scope projects, prioritize work, and deliver high-value, data-driven solutions.
• Foster a team culture of collaboration, experimentation, and continuous improvement.
• Conduct regular performance evaluations, deliver constructive feedback, and identify opportunities for growth and development.
• Set strategic priorities and align your team’s roadmap with larger business goals and outcomes.
• Promote software engineering and MLOps best practices, including automation, containerization, monitoring, and testing.
• Stay current on trends in machine learning, personalization, and gaming to continuously evolve our capabilities.

• Bachelor's degree in Computer Science, Data Science, Machine Learning, or a related field; advanced degree preferred.
• At least 5 years of experience in data science or machine learning engineering, including 2 or more years in a formal leadership or management role.
• Proven expertise in Python and SQL, with experience working across modern data platforms and cloud environments.
• Strong understanding of the Software Development Lifecycle and experience leading teams through delivery cycles.
• Hands-on experience with machine learning systems, statistical modeling, and experimentation frameworks.
• Deep familiarity with DevOps and MLOps concepts, including containerization, automation, and production monitoring.
• Exceptional communication and collaboration skills, with the ability to influence cross-functional teams and executives.
• Experience in the gaming industry or a related domain is a strong plus.

The US base salary range for this full-time position is 160,000.00 USD - 200,000.00 USD, plus bonus, equity, and benefits as applicable. Our ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific pay range and how that was determined during the hiring process. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

We’re a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston. As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment. Don’t worry, we’ll guide you through the process if this is relevant to your role.

Join to apply for the instED Data Science Manager role at Commonwealth Care Alliance

2 days ago Be among the first 25 applicants

Join to apply for the instED Data Science Manager role at Commonwealth Care Alliance

Get AI-powered advice on this job and more exclusive features.

instED-Information Technology

This position is available to remote employees residing in Massachusetts. Applicants residing in other states will not be considered at this time.



Position Summary

Our healthcare system is under tremendous pressure as we face an unprecedented global pandemic, ever rising costs, and a lack of capacity and access to quality care. These challenging circumstances have emphasized the need for innovative care delivery models that go beyond the traditional methods of caring for patients. We should no longer accept the fact that millions of people do not have access to proper care and visit Emergency Departments because they have no alternatives. The poor patient experience, the sub-optimal care, and the estimated $8.3B spent on unnecessary ED visits each year, make it extremely clear that something needs to be done.

instED was founded to help solve these very problems. We strive to eliminate unnecessary and avoidable visits to Emergency Departments and the inpatient hospital admissions that often follow, by offering quality urgent care services in the comfort of the patient’s home. Come join this early stage, innovative, growing company, and team, and help deliver healthcare of the 21st century!

The Data Science Manager at instED is a clinical/business-facing and technical-facing role that collaborates with clinical/business stakeholders They will support instED’s growing needs for data-driven decision making and building predictive tools/processes to derive key insights from advanced analytics.

The Data Science Manager will focus on the data extraction and processing, analytics, feature engineering/selection, modeling and evaluation, results delivery, and model implementation. They will also build and/or implement tools to translate complex data and provide actionable insights to clinical and business

users.

This role needs to be a “full-stack” data scientist and has the exciting opportunity to contribute code and ideas at any part of the stack, with a focus on end user value. This position requires strong technical and analytical skills as well as experience working in healthcare sector. This position will report to the Chief Product Officer. Experience working with urgent care or care delivery settings is preferred but not required.



Supervision Exercised

• No, this position does not have direct reports.
  
  
  
  

• Contribute to the creation of analytics platforms and data products that will drive core business processes and be used by analysts across the organization
• Analyze performance of existing risk based contracts to identify areas of improvement
• Evaluate clinical and claims information shared by prospects to identify patient population and services for value based contracts
• Support ongoing deployment of predictive models which help instED identify ER and in-patient utilization patterns as well as service needs of high-risk patient populations
• Conduct directed analysis and translated complex information into actionable insights to help clinical/business leadership make better, data driven decisions
• Maintain a current knowledge of emerging tools and techniques in machine learning, natural language processing, database systems, visualization, statistical modeling, data extraction/manipulation and so on
• Be an expert and keep expanding knowledge in urgent care, health insurance and non-traditional care delivery models
• Complete data science projects independently with minimum supervisor and guidance
• Propose and conduct optimal solution to projects independently
  
  
  
  

• Standard office conditions.
• This position can be remote with the option to work on-site in the Boston office location.
  
  
  
  

• Master’s degree + 4 year of equivalent work experience
• OR bachelor’s degree + 8 years of equivalent work experience (STEM major or related field preferred)
  
  
  
  

• Master’s degree + 4 year of equivalent work experience
• OR bachelor’s degree + 8 years of equivalent work experience (STEM major or related field preferred)
  
  
  
  

• Extensive experience conducting analysis for Value Based Care Management models.
• Expertise with Python (numpy, pandas, sklearn, nltk…)
• Strong understanding of statistical techniques like descriptive statistics, inferential statistics, regression analysis, time series analysis, and probability distributions to analyze risk data and validate models
• Experience and excellent understanding of machine learning modeling techniques and algorithms for tasks like risk prediction, fraud detection, and credit scoring. Familiarity with different algorithms (e.g., decision trees, neural networks) and their applications in risk management is crucial
• Expertise with relational databases and SQL
• Expertise with data visualization and tools
• Experience with data exploration, data wrangling and feature engineering
• Strong scripting and programming skills
• Strong analytical mindset
• Willingness to learn new technologies
• Experience with cloud data warehouses and cloud provider services (e.g., GCP, AWS, Azure)
• Track record of working on the machine learning pipeline from ideation, model training, through to deployment and production support
• Track record of success in technology or software development environment
• Track record of successful analytics projects of define and decomposite business/technical problems and solve them
• Ability to develop competence in any programming, tool, or technology, that a problem requires; be data and tool omnivorous
• Soft skills:
• Be organized and flexible
• Take initiative to own projects
• Be able to work with interdisciplinary teams
• Be able to explain technical concepts/results to non-technical audiences
• Passion for creating work that is well-documented and reproducible
• Ability to work with short iteration times in agile mode as well as the ability to carry out projects in a self-directed manner
• Healthcare: passion for working at a healthcare organization
  
  
  
  

• English
  
  
  
  

• Experience with R
• Experience in healthcare or health insurance organization
• Experience using Power BI, Tableau, and Looker Experience with clinical claims and health record data
• Experience building data pipelines in the cloud under the constraints of HIPAA
• Publication or presentation of innovation in data science, machine learning or related area

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Engineering and Information Technology
• Industries Hospitals and Health Care

Referrals increase your chances of interviewing at Commonwealth Care Alliance by 2x

Get notified about new Data Science Manager jobs in Boston, MA .

Boston, MA $40,000.00- 220,000.00 2 weeks ago

Bedford, MA 200,000.00- 220,000.00 2 weeks ago

Andover, MA 124,000.00- 250,000.00 1 week ago

Cambridge, MA $1 3,000.00- 299,000.00 2 days ago

Cambridge, MA 230,000.00- 316,000.00 3 weeks ago

Boston, MA 171,910.00- 288,820.00 2 weeks ago

Cambridge, MA 173,000.00- 299,000.00 2 days ago

Cambridge, MA 160,000.00- 276,000.00 1 week ago

Wellesley Hills, MA 144,200.00- 288,400.00 2 weeks ago

Boston, MA 128,000.00- 192,000.00 2 weeks ago

Cambridge, MA $1 5,000.00- 268,500.00 1 month ago

Needham, MA 150,000.00- 180,000.00 2 days ago

Wellesley Hills, MA 144,200.00- 288,400.00 1 month ago

Cambridge, MA 149,069.00- 223,604.00 4 months ago

Needham, MA 126,000.00- 180,000.00 2 weeks ago

Boston, MA 157,600.00- 272,400.00 2 days ago

Needham, MA 126,000.00- 180,000.00 1 month ago

Boston, MA 104,500.00- 208, hours ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.