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Director Of Data Science Jobs (NOW HIRING)

Murphy USA

Manager of Data Science

El Dorado, AR

GENERAL DESCRIPTION OF POSITION The Manager of Data Science is responsible for leading a team of data scientists (individual contributors), ensuring that their efforts drive business profitability ...

Boot Barn

Director, Data Science

Irvine, CA · On-site

$150K - $200K/yr

The Director of Data Science will be instrumental in defining and executing Boot Barn's Data Science strategy. This role will provide leadership and vision to build and scale advanced analytics ...

Cliftonlarsonallen

Manager of Data Science

Racine, WI · On-site

CLA is looking to hire a Data Science Director to join our growing Internal IT team. About the role: CLA is looking to hire a Manger of Data Science This role constructs complex solutions that ...

Outschool

Director of Data

The Role We're hiring a Director of Data to lead Outschool's Data team, responsible for both ... Experience with deep analytics / data science, including influencing stakeholders with data ...

NCSU

Lecturer of Data Science

Raleigh, NC

$4.0K/wk

The Data Science and AI Academy's goal is to network and catalyze data science across all three pillars of the university's land-grant mission: education, research and service to the state of North ...

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$54K

$154.9K

$244K

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

As of Jul 6, 2026, the average yearly pay for director of data science in the United States is $154,873.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,000.00 and $189,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Director of Data Science, and why are they important?

A Director of Data Science needs advanced expertise in statistical analysis, machine learning, and data strategy, typically supported by a graduate degree in a quantitative field and significant industry experience. Familiarity with big data platforms (e.g., Hadoop, Spark), programming languages (Python, R), and cloud-based analytics tools, as well as experience managing data science teams, is essential. Strong leadership, communication, and business acumen are key soft skills for aligning technical work with organizational goals and influencing stakeholders. These skills are crucial for driving data-driven decision-making and maximizing the strategic impact of data science initiatives within the organization.

What does a director of data science do?

A director of data science oversees data science teams, develops strategies for data analysis and modeling, and ensures projects align with business goals. They often manage data infrastructure, collaborate with other departments, and require strong skills in statistics, machine learning, and leadership. The role typically involves setting priorities, managing resources, and communicating insights to stakeholders.

What is the highest paid job in data science?

The highest paid roles in data science are often senior positions such as Chief Data Officer or Director of Data Science, with salaries exceeding $200,000 annually. These roles typically require extensive experience, advanced skills in machine learning and big data tools, and often involve strategic leadership responsibilities.

What are some common challenges faced by a Director of Data Science when leading cross-functional teams?

As a Director of Data Science, one of the key challenges is aligning the goals of data science teams with those of product, engineering, and business stakeholders. This often involves translating complex technical findings into actionable insights that non-technical colleagues can understand and use. Additionally, managing resource allocation and prioritizing projects across multiple departments can be demanding, especially in fast-paced environments. Building a collaborative culture and fostering open communication are crucial for overcoming these challenges and ensuring data-driven strategies deliver business value.

Is 40 too late for data science?

For a Director of Data Science, starting a career at 40 is not too late, as many professionals transition into data roles later in life. Success depends on relevant skills, experience, and continuous learning in areas like machine learning, programming, and data analysis. Age should not be a barrier if you have a strong background and stay current with industry tools and trends.

What is the 80 20 rule in data science?

The 80/20 rule, also known as Pareto principle, suggests that roughly 80% of effects come from 20% of causes. In data science, it often means that a small subset of features or data points significantly influence model performance or insights, guiding focus on the most impactful variables during analysis and feature selection.

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

AspectDirector Of Data ScienceData Scientist
Required CredentialsAdvanced degrees (Master's or PhD), leadership experienceBachelor's or Master's in Data Science, Computer Science, or related fields
Work EnvironmentStrategic planning, team management, cross-department collaborationData analysis, model development, coding, and experimentation
Employer & Industry UsageTech companies, finance, healthcare, large enterprisesStartups, tech firms, research institutions, various industries

The main difference between a Director Of Data Science and a Data Scientist lies in their scope of responsibilities. The Director oversees strategic initiatives, manages teams, and aligns data projects with business goals, while Data Scientists focus on analyzing data, building models, and deriving insights. Both roles require strong technical skills, but the Director's role emphasizes leadership and strategic planning.

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Director Of Data Science jobs near you
Manager of Data Science

Manager of Data Science

Murphy USA

El Dorado, AR

Other

Posted yesterday

Murphy USA rating

4.1

Company rating: 4.1 out of 10

Based on 252 frontline employees who took The Breakroom Quiz

44th of 47 rated convenience stores

Job description

GENERAL DESCRIPTION OF POSITION
The Manager of Data Science is responsible for leading a team of data scientists (individual contributors), ensuring that their efforts drive business profitability, increased efficiencies and improved customer experience. This role leads overall programs, maximizing resources, partnering with project teams and business partners, and supports problem solving efforts. Data Science Managers provide leadership, mentoring, and coaching to team members, along with supporting their development of business and technical skills. This is a hands-on role with a focus in AI/ML model development as well as team leadership. In addition, the Manager will lead the agile processes for the data science team.
As a Manager of Data Science, you will provide executive summaries to all levels of the organization and leverage your business knowledge and network to identify opportunities to leverage data science solutions. This role is expected to collaborate with other leaders across the organization for aligning strategies, prioritizing initiatives and effectively managing talent. These responsibilities require effective communication skills, building relationships and partnerships, and leveraging business proficiency to solutions and recommendations.
ESSENTIAL DUTIES AND RESPONSIBILITIES
Deliver business impact by deploying Data Science to improve core functions, including, but not limited to marketing, pricing, labor, inventory, etc.
Measure the impact from analytical solutions across strategic initiatives and effectively communicate results
Provide executive updates to leaders at all levels of the organization on program effectiveness, team accomplishments, summary of findings and recommended solution, and explain internal and external impacts
Deliver productionized models and tools using Agile (including data processing, scripting, modeling, measurement, error handling, and documentation)
Prioritize and assign projects based on business use cases by striking a balance between a effort and value return
Effectively develop trust and collaboration with internal customers and cross-functional teams
People management and leadership of the Data Science team including attracting, retaining, and developing top talent to build an effective and high performing team
Support team in development of business knowledge and technical skills with clear plans and regular assessment of progress
Develop onboarding and training plan for both technical and soft skills that will ensure high level of capabilities within the team
Ensure alignment with IT support model, collaboration, tools and governance to enable data scientists to be most effective in executing their roles
Seek further knowledge on key developments within data science, technical skill sets, and additional data sources
Participate in the continuous improvement of analytics by developing replicable solutions (e.g., codified data products, project documentation, flowcharts) to ensure solutions are leveraged for future projects
Ensure best practices and vision for data analysis and model productionalization are leveraged
Utilizing statistical techniques to identify key insights that help solve business problems including mastery in predictive modeling, data mining and data analysis
Support vendor discussions and negotiations as needed.
Perform any other related duties as required or assigned.
QUALIFICATIONS
To perform this job successfully, an individual must be able to perform each essential duty mentioned satisfactorily.  The requirements listed below are representative of the knowledge, skill, and/or ability required.
EDUCATION AND EXPERIENCE
Bachelor's degree or graduate degree, in a quantitative field like Computer Science, Statistics, Engineering, Science, or Mathematics. 6 to 8 years of related experience included 2 years leading a team.

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