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Senior Data Science Manager Jobs in Kentucky (NOW HIRING)

$193 - $290/hr

As the Data Science Manager for the Crypto team, you will lead a high-impact team delivering insights, models, and strategies that shape Robinhood's crypto product roadmap and growth. This role ...

$150 - $230/hr

Senior Data Science Manager - Strategic Data Solutions Austin, Texas, United States Software and Services Imagine what you could do here! The people here at Apple don't just create products -- they ...

New

$247 - $290/hr

As the Data Science Manager for the Crypto team, you will lead a high-impact team delivering insights, models, and strategies that shape Robinhood's crypto product roadmap and growth. This role ...

$247 - $290/hr

As the Data Science Manager for the Crypto team, you will lead a high-impact team delivering insights, models, and strategies that shape Robinhood's crypto product roadmap and growth. This role ...

$160 - $170/hr

Overview The Data Science Manager is a player-coach who leads a small, high-output team while staying deeply hands‑on. This role owns the full scope of data science at Appriss Retail -- data ...

$120 - $180/hr

The Senior Data Scientist will play a pivotal role in developing and implementing data-driven ... data science, data management and/or applying data analysis and reporting skills in a business ...

New

$150 - $210/hr

Versant Health is one of the nation's leading administrators of managed vision care, serving ... This role operates at the intersection of data science, data engineering, cloud analytics platforms ...

$154 - $311/hr

We have the flexibility to manage our work and personal needs.We make bold moves, together, and are ... Basic Qualifications: * Bachelor's degree in Computer Science/ Engineering/Mathematics or ...

$140 - $190/hr

The Purpose of Your Role This individual will lead high‑profile applied data science and ... Management, AI/ML Engineering, and others. The role will focus on developing and evaluating ...

$160 - $190/hr

Senior Data Scientist - Machine Learning & AI Senior Data Scientist - Machine Learning & AI Remote ... Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or ...

$185 - $200/hr

The Senior Level Product Manager/Data Science for the customer's AI/ML Program plays a critical role in the intersection of technology and strategy. This individual will operate at the forefront of ...

$105 - $175/hr

... managers, strategists, and domain experts. In this role, you will design, develop, and deploy ... If you enjoy building innovative solutions that bridge data science and software engineering ...

New

$90 - $140/hr

SENIOR DATA SCIENCE ENGINEER SPECIALIST - DATA SCIENTIST Concurrent Technologies Corporation Johnstown, PA or Telecommute Minimum Clearance Required: N/A Clearance Level Must Be Able to Obtain: N/A ...

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Senior Data Science Manager information

See Kentucky salary details

$43K

$110.4K

$182K

How much do senior data science manager jobs pay per year?

As of Aug 30, 2026, the average yearly pay for senior data science manager in Kentucky is $110,409.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,200.00 and $129,400.00 per year, depending on experience, location, and employer.

What does a senior data science manager do?

A Senior Data Science Manager leads a team of data scientists to develop analytical solutions that drive business decisions and strategy. They oversee the end-to-end process of data collection, model development, and deployment, ensuring projects align with organizational goals. Additionally, they mentor team members, collaborate with stakeholders across departments, and help set the vision for data-driven initiatives. Their role requires both technical expertise and strong leadership skills.

How does a senior data science manager typically collaborate with cross-functional teams to drive business outcomes?

A Senior Data Science Manager often works closely with stakeholders from product, engineering, marketing, and business operations to align data-driven initiatives with organizational goals. They are responsible for translating complex analytical findings into actionable insights and ensuring that data science projects address real business needs. Effective collaboration requires strong communication skills, the ability to prioritize multiple projects, and fostering a culture of knowledge sharing across teams. By coordinating with various departments, Senior Data Science Managers help ensure that data-driven strategies lead to measurable business impact.

What are the key skills and qualifications needed to thrive as a senior data science manager, and why are they important?

To thrive as a Senior Data Science Manager, you need strong expertise in data analysis, statistical modeling, and machine learning, typically supported by an advanced degree in a quantitative field and significant experience leading data teams. Familiarity with tools such as Python, R, SQL, cloud platforms (e.g., AWS, Azure), and data visualization software is essential, along with knowledge of project management methodologies. Outstanding leadership, communication, and strategic thinking skills are crucial for aligning data initiatives with business goals and fostering team development. These abilities are vital for driving impactful analytics projects, delivering actionable insights, and ensuring the success of data-driven strategies within an organization.

What is the difference between Senior Data Science Manager vs Data Scientist?

AspectSenior Data Science ManagerData Scientist
CredentialsAdvanced degree (Master's/PhD), leadership experienceBachelor's or Master's in Data Science, Statistics, or related field
Work EnvironmentLeads teams, manages projects, strategic planningAnalyzes data, builds models, reports findings
Employer & Industry UsageUsed in organizations with data teams, tech, finance, healthcareEntry to mid-level roles across industries

The main difference is that a Senior Data Science Manager oversees data teams and strategic initiatives, while a Data Scientist focuses on analyzing data and building models. The manager role involves leadership and project management, whereas the Data Scientist role is more technical and hands-on.

What cities in Kentucky are hiring for Senior Data Science Manager jobs?

Cities in Kentucky with the most Senior Data Science Manager job openings:

Senior Data Science Manager, Algorithms

Unchain Data

On-site

$193 - $290/hr

Other

Medical, Life, Retirement, PTO

Posted 12 days ago


Job description

Join us in building the future of finance.

Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If youfers ready to be at the epicenter of this historic cultural and financial shift, keep reading.

About the team + role

We are building an elite team, applying frontier technologies to the worlds biggest financial problems. Were looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isnt a place for complacency, its where ambitious people do the best work of their careers. Were a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards.

The Crypto Data Science team is on a mission to accelerate Robinhood's position as the leading platform for crypto investors. We partner with product, engineering, finance, and research to shape the strategies behind our fastest-growing business. From launching new products to expanding internationally, our team turns complex data into clear decisions 2 0 0and our work directly influences how millions of customers experience crypto at Robinhood.

As the Data Science Manager for the Crypto team, you will lead a high-impact team delivering insights, models, and strategies that shape Robinhood's crypto product roadmap and growth. This role partners with product, engineering, and executive leadership to ensure data is at the core of our strategic decisions. Learn more about what the crypto team is up to here.

This role is based in our Menlo Park, CA office, with in-person attendance expected at least 5 days per week.

At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams.

What you’ll do

  • Lead, mentor, and scale a team of data scientists and analytics engineers working across product and ML domains
  • Partner closely with Crypto product, engineering, finance, and research teams to drive key initiatives such as international expansion, pro trader growth, and Wallet app adoption
  • Deliver robust, data-driven recommendations and analyses to shape product direction, with a focus on stock tokens, perpetuals, and blockchain opportunities
  • Foster a culture of excellence in analytics, experimentation, and impact within your team
  • Represent Crypto Data Science in cross-functional leadership forums and contribute to overall Crypto org strategy

What you bring

  • 7+ years of experience in data science, including at least 2+ years of people management
  • Deep experience with Python and SQL in a production or analytics environment
  • Proven success in product data science roles, with a track record of delivering strategic insights and scalable solutions
  • Strong understanding of the crypto ecosystem, with 3 a04 years of direct experience highly preferred
  • Executive presence, influence across teams, and outstanding communication skills
Leadership expectations

Our ambitious roadmap requires a great culture shaped by exceptional leaders. Here9s what we expect from them:

  • Drive high performance by setting clear, focused goals, giving real-time feedback, stretching top talent, and scaling impact through focus, innovation, and tech.
  • Hire and retain top talent by setting a high bar, hiring only those who raise it, investing in onboarding, and addressing talent issues quickly and fairly.
  • Create community by connecting work to purpose, removing friction while prioritizing safety, building trust and inclusion, and leading from the front with integrity.

What we offer

  • Challenging, high-impact work to grow your career
  • Performance-driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching
  • Top Tier benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents
  • Access to the best AI tools on the market and continuous AI skill-building for every employee, technical or not
  • Lifestyle wallet 2 0a highly flexible benefits spending account for wellness, learning, and more
  • Employer-paid life & disability insurance, fertility benefits, and mental health benefits
  • Time off to recharge including company holidays, paid time off, sick time, parental leave, and more!
  • Exceptional office experience with catered meals, events, and comfortable workspaces.

In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits.

Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. For other locations not listed, compensation can be discussed with your recruiter during the interview process.

Base Pay Range:

Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC) $247,000—$290,000 USD Zone 2 (Denver, CO; Westlake, TX; Chicago, IL) $217,000—$255,000 USD Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL) $193,000—$226,000 USD

Click here to learn more about our Total Rewards, which vary by region and entity.

If our mission energizes you and youre ready to build the future of finance, we look forward to seeing your application.

Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work0ing different backgrounds, perspectives, and experiences so everyone can do their best. Please review the Privacy Policy for your country of application.

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