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Manager Of Data Science Jobs (NOW HIRING)

Data Science Manager

Manhattan, NY · On-site

$149 - $186/hr

... Data Science Manager for our Sports Modeling & Innovation team to tackle our most challenging ... Throughout the lifecycle of a model, from data collection through results, you will create ...

Data Science

San Francisco, CA · On-site

$110 - $170/hr

Adidev Technologies is seeking 1-2 yrs of relevant experience in Data Science. A project can last anywhere from 6 months to 18 months. Salary varies depending on experience, and we are in search of ...

Champion the role of data science within the organization; Understand and champion user research, and can design and manage processes to gather and establish user needs Identify and create ...

Champion the role of data science within the organization; Understand and champion user research, and can design and manage processes to gather and establish user needs Identify and create ...

Sr. Manager AI & Data Science We are seeking a visionary and technically strong Senior Manager of AI & Data Science to lead a high-performing team focused on delivering scalable AI/ML solutions ...

Sr. Manager AI & Data Science We are seeking a visionary and technically strong Senior Manager of AI & Data Science to lead a high-performing team focused on delivering scalable AI/ML solutions ...

We believe that the power of people and AI can have a meaningful impact on your world, creating ... Data Science Manager with AI familiarity to join our growing team. In this role, you'll collaborate ...

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Manager Of Data Science information

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$31K

$97.1K

$172K

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

As of Sep 6, 2026, the average yearly pay for manager of data science in the United States is $97,145.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $125,500.00 per year, depending on experience, location, and employer.

What is a manager of data science?

A Manager of Data Science is a leadership role responsible for overseeing a team of data scientists and analysts, guiding data-driven projects, and ensuring that business objectives are met through data analysis and modeling. They collaborate with stakeholders to identify business needs, design analytical solutions, and manage the end-to-end process of extracting insights from large datasets. In addition to technical expertise, this role requires strong leadership, project management, and communication skills to translate complex findings into actionable strategies.

How does a manager of data science typically balance hands-on technical work with team leadership responsibilities?

A Manager of Data Science often divides their time between overseeing project execution and supporting their team's professional growth. While they may still participate in high-level technical decision-making and occasionally contribute to code or modeling, much of their focus shifts to setting strategic direction, mentoring team members, and facilitating cross-functional collaboration. They are responsible for ensuring that projects align with business goals, providing technical guidance, and creating an environment where data scientists can thrive. Effective managers also spend time communicating with stakeholders to translate business needs into actionable data projects.

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

To thrive as a Manager of Data Science, you need advanced expertise in data analytics, machine learning, and statistical modeling, typically backed by a degree in a quantitative field and prior experience in data science roles. Familiarity with tools like Python, R, SQL, cloud platforms (e.g., AWS, Azure), and project management systems is essential, and certifications such as Certified Analytics Professional (CAP) can be valuable. Strong leadership, communication, and problem-solving skills help in guiding teams, translating business needs into data solutions, and fostering collaboration. These skills and qualities are crucial for delivering actionable insights, driving innovation, and ensuring successful data-driven strategies in complex organizational environments.

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

AspectManager Of Data ScienceData Scientist
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; often leadership experienceBachelor's or Master's in Data Science, Statistics, or related field; strong technical skills
Work EnvironmentOversees teams, manages projects, collaborates with stakeholdersFocuses on data analysis, model development, and technical problem-solving
Employer & Industry UsageUsed in organizations with data teams, analytics departmentsCommonly employed in tech, finance, healthcare, and research sectors

The main difference between a Manager Of Data Science and a Data Scientist is the level of responsibility. Managers oversee teams and strategic initiatives, while Data Scientists focus on technical data analysis and model building. Both roles require strong analytical skills, but the Manager role emphasizes leadership and project management.

What cities are hiring for Manager Of Data Science jobs?

Cities with the most Manager Of Data Science job openings:

What are the most commonly searched types of Of Data Science jobs?

The most popular types of Of Data Science jobs are:

Who are the top companies hiring for Manager Of Data Science jobs?

The top employers for Manager Of Data Science jobs are:

What states have the most Manager Of Data Science jobs?

States with the most job openings for Manager Of Data Science jobs include:

Data Science Manager

FanDuel

Manhattan, NY • On-site

$149 - $186/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 12 days ago


FanDuel rating

9.3

Company rating: 9.3 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

1st of 15 rated gambling companies


Job description

THE POSITION
Our roster has an opening with your name on it

We are looking for a Data Science Manager for our Sports Modeling & Innovation team to tackle our most challenging sports modeling problems. Throughout the lifecycle of a model, from data collection through results, you will create predictive models of sports to build tools and dashboards, price markets, and drive actionable insights across FanDuel Group. You will be working closely with the product and risk and trading teams, modeling player performance, team performance, and game outcomes among other challenges. This role will also manage and develop other data scientists. You will promote effective communication of model outputs and contribute to a collaborative code environment.

In addition to the specific responsibilities outlined above, employees may be required to perform other such duties as assigned by the Company. This ensures operational flexibility and allows the Company to meet evolving business needs.

THE GAME PLAN
Everyone on our team has a part to play

  • Develop, iterate, and take to production machine learning models to predict sports outcomes and solve problems
  • Iterate and improve on betting product range to ensure market leading offering
  • Continuous improvement in pricing techniques - both at an individual level and working with trading teams to optimize predictive and derivative model pricing
  • Manage a group of Data Scientists to develop production-ready models and solve company-wide challenges
  • Choose appropriate tools, systems and models to solve large data problems
  • Troubleshoot and resolve coding and modeling problems presented by others
  • Proactively seek opportunities or problems to be analyzed
  • Put together project plans for the Data Science team to follow
  • Present to senior leaders confidently and with impact
  • Construct models, analyses and solutions in response to a question or problem posed by a stakeholder or colleague
  • Manage the data preparation process from collection through cleaning
  • Build robust predictive models, showing capabilities of feature and model selection
  • Contribute to a production code environment
  • Work with decision-makers across the company to understand their goals, identify opportunities to use data to develop new insights and improve business results
  • Create dashboards and data visualizations for analysis and communication
  • Identify, grow and develop top talent within the Data Science organization
  • Lead regular forums within or across teams to ensure key decisions and conclusions are disseminated and understood
  • Make significant contributions to, sets agenda for and helps steer large group meetings
  • Determine inefficiencies in ways of working and seeks to solve them

THE STATS
What we're looking for in our next teammate

  • Minimum of 5 years’ of industry experience in data science, analytics or engineering preferred
  • Bachelor's Degree in a highly numerate major (Math, Stats, Econ, etc.) or relevant experience in data science preferred
  • Experience managing or mentoring other data scientists or analysts
  • Strong analytical and quantitative skills, with high proficiency in Python or R, and SQL (or coding language of choice)
  • Strong understanding and application of Bayesian statistics
  • Expert in building and using models to help create production level products and tools
  • Proficient with command line tools and GitHub
  • Object-oriented design and coding skills
  • Strong verbal and written communication skills, present findings and analysis to senior management, being totally accountable for the entire agenda of the projects owned
  • Help the stakeholders in understanding the business KPIs
  • Bring efficiency and automation in the data infrastructure
  • Ability to work across teams, locations and time zones
  • Willing to work nontraditional hours when applicable
  • Interest or experience in Sports Gaming and/or Fantasy Sports

ABOUT FANDUEL

FanDuel Group is the premier mobile gaming company in the United States and Canada. FanDuel Group consists of a portfolio of leading brands across mobile wagering including: America’s #1 Sportsbook, FanDuel Sportsbook; its leading iGaming platform, FanDuel Casino; the industry’s unquestioned leader in horse racing and advance-deposit wagering, FanDuel Racing; and its daily fantasy sports product.

In addition, FanDuel Group operates FanDuel TV, its broadly distributed linear cable television network and FanDuel TV+, its leading direct-to-consumer OTT platform. FanDuel Group has a presence across all 50 states, Canada, and Puerto Rico.

The company is based in New York with US offices in Los Angeles, Atlanta, and Jersey City, as well as global offices in Canada and Scotland. The company’s affiliates have offices worldwide, including in Ireland, Portugal, Romania, and Australia.

FanDuel Group is a subsidiary of Flutter Entertainment, the world’s largest sports betting and gaming operator with a portfolio of globally recognized brands and traded on the New York Stock Exchange (NYSE: FLUT).

PLAYER BENEFITS
We treat our team right

  • We offer amazing benefits above and beyond the basics.
  • We have an array of health plans to choose from (some as low as $0 per paycheck) that include programs for fertility and family planning, mental health support, and fitness benefits.
  • We offer generous paid time off (PTO & sick leave), annual bonus and long-term incentive opportunities (based on performance), 401k with up to a 5% match, commuter benefits, pet insurance, and more - check out all our benefits here: FanDuel Total Rewards.
  • *Benefits differ across location, role, and level.

FanDuel is an equal opportunities employer and we believe, as one of our principles states, “We are One Team!”. As such, we are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or any other characteristic protected by state, local or federal law. We believe FanDuel is strongest and best able to compete if all employees feel valued, respected, and included.

FanDuel is committed to providing reasonable accommodations for qualified individuals with disabilities. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please email [emailprotected] .

The applicable salary range for this position is $149,000 - $186,000 USD, which is dependent on a variety of factors including relevant experience, location, business needs and market demand. This role may offer the following benefits: medical, vision, and dental insurance; life insurance; disability insurance; a 401(k) matching program; among other employee benefits. This role may also be eligible for short-term or long-term incentive compensation, including, but not limited to, cash bonuses and stock program participation. This role includes paid personal time off and 14 paid company holidays. FanDuel offers paid sick time in accordance with all applicable state and federal laws.

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.

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