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Manager Of Data Science Jobs (NOW HIRING)

Engine

Manager, Data Science

$169K - $235K/yr

We believe the future of travel should be seamless and powered by technology that delights ... Your Mission We are seeking a Manager of Data Science to lead our talented team of data scientists ...

Elsevier

Manager Data Science

Philadelphia, PA

$115K - $192K/yr

About the team As part of a growing team of Data Scientists, you will take on some of the hardest ... Exceptional communication and stakeholder-management skills with the ability to influence technical ...

The LaSalle Group

Manager of Data Engineering

Columbus, OH · On-site

$140K - $160K/yr

  • Medical

  • Dental

  • Vision

Manager of Data Engineering Overview A leading enterprise organization is seeking a Manager, Data Engineering to lead a team responsible for delivering modern data solutions that support Finance and ...

Ipsen

Head of Applied AI & Data Science

Cambridge, MA

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Proven track record of leading and managing data science and AI teams, ideally in the ... pharmaceutical or healthcare industry. * Extensive experience in developing and implementing AI and ...

Tatari

Data Science Manager

Los Angeles, CA · On-site

$160K - $220K/yr

  • Medical

  • Retirement

  • PTO

Founded in 2016 to help transform the antiquated world of TV advertising through the intelligent ... We're looking for a Data Science Manager to lead our growing AI product data science function. This ...

Appriss Retail

Data Science Manager

$160K - $170K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Covering 40% of all U.S. transactions and active in 45 countries , Appriss Retail is trusted by 60 ... Overview The Data Science Manager is a player-coach who leads a small, high-output team while ...

Michaels Stores Inc

Manager - Data Science

Irving, TX · On-site

  • Medical

  • Dental

  • Vision

  • PTO

Clear communication of complex analyses and the ability to tell a story with data are critical to ... Manage a team of data scientists * Mentor analysts regarding analytics best practices ...

VTG

Data Scientist

Beavercreek, OH

... management and application development pipeline in support of national defense data science and data architecture prototyping tasks. This role will also include gathering and organizing data ...

DoorDash

Manager, Data Science

San Francisco, CA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Lead and develop a team of data scientists responsible for high-impact analytics, predictive ... You have experience managing and developing data scientists or analysts and know how to set a high ...

The University of Miami

Manager, Data Science

Miami, FL · On-site

  • Medical

  • Dental

The University of Miami/UHealth Department of SCCC has an exciting opportunity for a Full-Time Manager, Data Science to work at the UHealth campus in Miami, Fl. CORE JOB SUMMARY The Manager, Data ...

FanDuel

Data Science Manager

Jersey City, NJ · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... 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 ...

Vosper Thornycroft Group

Data Scientist

Beavercreek, OH · On-site

$120 - $150/hr

... management and application development pipeline in support of national defense data science and data architecture prototyping tasks. This role will also include gathering and organizing data ...

FanDuel

Data Science Manager

Jersey City, NJ · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... 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 ...

Adidev Technologies Inc

Data Science

San Francisco, CA · On-site

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 ...

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Manager Of Data Science information

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

As of Aug 16, 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 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.

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 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.

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Manager Of Data Science jobs near you

Sr. Manager of Analytics and Data Science

Loves Travel Stops & Country Store

Oklahoma City, OK • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 27 days ago

Love's Travel Stops rating

5.9

Company rating: 5.9 out of 10

Based on 799 frontline employees who took The Breakroom Quiz

402nd of 734 rated retailers

Job description

Req ID: 484195  

Benefits: * Fuel Your Growth with Love's - company funded tuition assistance * Paid Time Off * 401(k) - 100% Match up to 5% * Medical/Dental/Vision Insurance the first of the month after 30 days * Competitive Pay * Career Development *  

Welcome to Love's: The Senior Manager of Analytics & Data Science leads teams of analytics and data science professionals responsible for delivering enterprise-wide insights, advanced analytics, and scalable solutions that drive strategic decision-making across the organization. This leader partners closely with business and technology stakeholders to identify opportunities, solve complex business challenges, and deliver measurable business impact through data. 

Job Functions: 

Drive Strategic Decision-Making Through Analytics 

  • Partner with leaders across the organization to identify opportunities where analytics can improve business performance and support strategic objectives
  • Translate complex business questions into actionable analytical approaches and measurable outcomes
  • Deliver insights and recommendations that influence decision-making at all levels of the organization
  • Promote the use of data and analytics as strategic assets across the enterprise 

Advanced Analytics & Solution Delivery 

  • Oversees the entire lifecycle of analytics projects, including requirement gathering, development, validation, deployment, and monitoring of advanced analytics, machine learning, and AI-enabled solutions
  • Ensures analytical solutions are scalable, actionable, and aligned to business objectives while delivering measurable business value
  • Establishes best practices that drive consistency, quality, and adoption across analytics initiatives
  • Guides teams in balancing technical rigor with practical business application to maximize organizational impact 

Team Leadership & Development 

  • Build and scale a high-performing data science & analytics organization, defining roles, career paths, and operating norms that attract and retain top analytical talent.
  • Lead a team of data scientists, seen as trusted advisors, known for proactive insights and creating thought leadership.
  • Foster a culture of curiosity, accountability, analytical rigor, experimentation, and continuous improvement.
  • Collaborate cross-functionally with Customer Experience, FP&A, and Data Engineering to deliver comprehensive solutions.
  • Provide coaching, performance management, and career development opportunities that support employee growth and engagement
  • Establish clear priorities and create an environment that enables teams to perform at their highest level 

Strategic Analytics Roadmap 

  • Define and evolve the enterprise analytics roadmap in alignment with organizational priorities
  • Evaluate and prioritize initiatives to maximize business impact and resource effectiveness
  • Balance short-term business needs with long-term capability development
  • Identify opportunities to expand analytics capabilities and increase organizational value 

Strengthen Enterprise Partnerships 

  • Develop trusted relationships with stakeholders across operations, finance, marketing, merchandising, customer experience, technology, and other business functions
  • Align analytics investments with enterprise priorities and strategic goals
  • Facilitate collaboration between analytics, technology, and business teams to maximize impact
  • Effectively communicate complex analytical concepts to technical and non-technical audiences, including senior leadership 

Data Governance & Quality 

  • Partner with technology and data teams to improve data quality, governance, accessibility, and trustworthiness
  • Advocate for data standards and best practices that support enterprise analytics
  • Ensure analytical solutions are built on reliable, well-governed data foundations
  • Promote confidence and trust in analytical outputs across the organization 

Innovation & Continuous Improvement 

  • Champion the adoption of emerging analytics, automation, and AI-enabled capabilities that improve business outcomes, accelerate insight generation, and enhance team effectiveness
  • Encourage experimentation and continuous improvement in analytical approaches and methodologies
  • Partner with technology teams to evaluate and apply emerging capabilities that enhance analytics effectiveness
  • Maintain awareness of industry trends and identify opportunities to create value through innovation 

Experience and Qualifications:

  • Bachelor's degree required in a quantitative or technical field (e.g., data science, statistics, mathematics, computer science, economics, engineering, or operations research); Master's or PhD strongly preferred
  • 8+ years of progressive experience in data science, advanced analytics, or quantitative modeling, including hands-on delivery of machine learning and statistical models in a production environment
  • 3+ years of direct people-leadership experience managing and developing teams of data scientists and analysts
  • Demonstrated track record of translating ambiguous business problems into analytical solutions that drive measurable, enterprise-level impact
  • Experience partnering with executive and cross-functional stakeholders to set strategy and influence decisions without direct authority
  • Retail, fuel, hospitality, or large-scale consumer/operations experience preferred

Skills and Physical Demands: 

  • Deep proficiency in machine learning, statistical modeling, experimentation/A/B testing, forecasting, and optimization techniques
  • Strong programming and data fluency with Python and/or R, advanced SQL, and modern data platforms (e.g., Snowflake, Databricks, or comparable cloud data warehouses)
  • Working knowledge of cloud environments (AWS, Azure, or GCP) and MLOps practices for deploying, monitoring, and maintaining models at scale
  • Proficiency with BI and visualization tools (e.g., Tableau, Power BI, Sigma) to communicate insight clearly to business audiences
  • Familiarity with generative AI and large language model applications and their responsible, value-driven use in the enterprise
  • Proven ability to build, scale, mentor, and retain high-performing technical teams
  • Strong business acumen with the ability to connect analytical work to financial and operational outcomes
  • Excellent written and verbal communication skills, including the ability to make complex concepts clear and compelling to senior, non-technical leadership.
  • Skilled at prioritization, roadmap planning, and resource management across competing demands
  • Self-directed leader who thrives in a fast-moving, collaborative, and evolving environment

Our Culture: 

Fueling customers' journeys since 1964, innovation leads the way for this family-owned and operated business headquartered in Oklahoma City. With nearly 40,000 team members, travel stops are the core business along with products and services that provide value for professional drivers, fleets, traveling public, RVers, alternative energy and wholesale fuel customers. Giving back to communities and an inclusive workplace are hallmarks of the award-winning culture.

Love's is an Equal Opportunity Employer. Veterans encouraged to apply.

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