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Data Science Lead Jobs in Raleigh, NC (NOW HIRING)

Epic Games

Data Science Lead

Cary, NC · On-site

You'll lead a team of Data Scientists and Data Engineers and apply mixed methods to own the end-to-end life cycle of creating data assets, reports, insights, to impact the direction of efforts across ...

LexisNexis

Manager Data Science

Raleigh, NC · On-site +1

As a Manager, Data Science, you will become a subject matter expert, defining projects and their ... Be a natural problem solver, able to take a lead in collaborating to resolve issues * Have ...

RELX Group plc

Manager Data Science

Raleigh, NC · On-site

$115K - $192K/yr

Lead the development of advanced AI and machine learning models to solve complex business problems. * Collaborate with other data scientists and engineers to design, develop, and deploy AI solutions.

LexisNexis

Manager Data Science

Raleigh, NC · On-site

As a Manager, Data Science, you will become a subject matter expert, defining projects and their ... Be a natural problem solver, able to take a lead in collaborating to resolve issues * Have ...

LexisNexis

Manager Data Science

Raleigh, NC · On-site

$115K - $192K/yr

Lead the development of advanced AI and machine learning models to solve complex business problems. * Collaborate with other data scientists and engineers to design, develop, and deploy AI solutions.

McGough Construction

Manager, Data Science

Raleigh, NC · On-site

MANAGER, DATA SCIENCE The Manager of Data Science will build and lead a focused, high-impact team solving complex, high-value business problems through applied data science. This role defines how ...

RELX

Manager Data Science

Raleigh, NC · On-site

$115K - $192K/yr

Lead the development of advanced AI and machine learning models to solve complex business problems. * Collaborate with other data scientists and engineers to design, develop, and deploy AI solutions.

LexisNexis

Manager Data Science

Raleigh, NC · On-site

$115K - $192K/yr

Lead the development of advanced AI and machine learning models to solve complex business problems. * Collaborate with other data scientists and engineers to design, develop, and deploy AI solutions.

LexisNexis

Manager, Data Science - Agentic AI

Raleigh, NC · On-site

$115K - $192K/yr

This is an exciting new opportunity for a Manager, Data Science - Agentic AI to lead the design and delivery of Agentic AI solutions within our Content Agentic Platform, enabling autonomous content ...

RELX

Manager, Data Science - Agentic AI

Raleigh, NC

$115K - $192K/yr

This is an exciting new opportunity for a Manager, Data Science - Agentic AI to lead the design and delivery of Agentic AI solutions within our Content Agentic Platform, enabling autonomous content ...

RELX

Lead Data Scientist

Raleigh, NC · On-site

$104K - $174K/yr

As a Lead you will support the development and training of junior members and develop best ... Driving best practices across our data science functions * Setting strategy and team direction ...

LexisNexis

Manager, Data Science - Agentic AI

Raleigh, NC · On-site

$115K - $192K/yr

This is an exciting new opportunity for a Manager, Data Science - Agentic AI to lead the design and delivery of Agentic AI solutions within our Content Agentic Platform, enabling autonomous content ...

LexisNexis

Lead Data Scientist

Raleigh, NC · On-site

$104K - $174K/yr

As a Lead you will support the development and training of junior members and develop best ... Driving best practices across our data science functions * Setting strategy and team direction ...

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All JobsData Science Lead JobsData Science Lead Jobs in Raleigh, NC

Data Science Lead information

See Raleigh, NC salary details

$29

$68

$93

How much do data science lead jobs pay per hour?

As of Jun 18, 2026, the average hourly pay for data science lead in Raleigh, NC is $68.12, according to ZipRecruiter salary data. Most workers in this role earn between $58.89 and $76.39 per hour, depending on experience, location, and employer.

How does a Data Science Lead typically balance technical responsibilities with team leadership duties?

A Data Science Lead often splits their time between hands-on technical work and managing their team. While they actively contribute to model development, data analysis, and code reviews, they also spend significant time mentoring junior data scientists, coordinating project timelines, and aligning team efforts with business objectives. Effective Data Science Leads prioritize communication and delegation, ensuring the team remains innovative while meeting deadlines. This dual focus can be challenging, but it provides valuable opportunities for professional growth and impact across the organization.

What is the difference between Data Science Lead vs Data Analyst?

AspectData Science LeadData Analyst
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related fields; often requires experience in machine learning and programmingBachelor's degree in Statistics, Mathematics, or related fields; focus on data interpretation and reporting
Work EnvironmentLeads data science projects, collaborates with cross-functional teams, and develops predictive modelsAnalyzes data sets, creates reports, and provides insights to support business decisions
Employer & Industry UsageUsed in tech, finance, healthcare, and large enterprises for strategic data initiativesCommon across various industries for operational and business analysis

The Data Science Lead focuses on leading complex data projects, developing models, and guiding teams, while Data Analysts primarily interpret data, generate reports, and support decision-making. Both roles require strong analytical skills, but the Lead role involves more technical expertise and leadership responsibilities.

What does a data science lead do?

A data science lead oversees data analysis and modeling projects, guiding a team of data scientists to develop insights and solutions using tools like Python, R, and SQL. They coordinate project goals, ensure data quality, and communicate findings to stakeholders, often requiring strong technical skills and leadership abilities.

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

To thrive as a Data Science Lead, you need deep expertise in statistical analysis, machine learning, and data modeling, usually supported by an advanced degree in a quantitative field. Familiarity with programming languages like Python or R, experience with data visualization tools (e.g., Tableau, Power BI), and knowledge of cloud platforms (such as AWS or Azure) are typically required. Strong leadership, communication, and project management skills set top candidates apart by enabling them to guide teams and translate complex insights to stakeholders. These skills ensure effective team performance, drive actionable business strategies, and maximize the impact of data-driven initiatives.

What are Data Science Leads?

Data Science Leads are professionals who oversee data science teams and projects within an organization. They are responsible for guiding data-driven strategies, managing data analysts and scientists, and ensuring the successful delivery of analytical solutions. Their role often includes project management, team mentorship, stakeholder communication, and hands-on technical work such as developing models and interpreting data. Data Science Leads bridge the gap between technical data teams and business leaders to drive organizational goals using data insights.

What jobs can data science lead to?

A Data Science Lead can advance to senior roles such as Data Science Director, Chief Data Officer, or Analytics Manager, overseeing teams and strategic initiatives. They often transition into roles requiring leadership, project management, and expertise in machine learning, statistical analysis, and data architecture.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as Pareto principle, suggests that roughly 80% of results come from 20% of efforts or features. Data scientists often use this concept to focus on the most impactful variables or tasks to optimize model performance and efficiency.

What is the salary of a lead data scientist?

The salary of a lead data scientist typically ranges from $100,000 to $160,000 annually, depending on experience, location, and industry. Senior roles often include additional compensation such as bonuses, stock options, or benefits, and require strong skills in machine learning, statistical analysis, and programming tools like Python or R.
What are popular job titles related to Data Science Lead jobs in Raleigh, NC? For Data Science Lead jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Data Science Lead jobs in Raleigh, NC look for? The top searched job categories for Data Science Lead jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Data Science Lead jobs? Cities near Raleigh, NC with the most Data Science Lead job openings:
Data Science Lead jobs near you
Infographic showing various Data Science Lead job openings in Raleigh, NC as of June 2026, with employment types broken down into 1% As Needed, 88% Full Time, 8% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $141,695 per year, or $68.1 per hour.
Data Science Lead

Data Science Lead

Epic Games

Cary, NC • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago

Job description

WHAT MAKES US EPIC?
At the core of Epic's success are talented, passionate people. Epic prides itself on creating a collaborative, welcoming, and creative environment. Whether it's building award-winning games or crafting engine technology that enables others to make visually stunning interactive experiences, we're always innovating.
Being Epic means being a part of a team that continually strives to do right by our community and users. We're constantly innovating to raise the bar of engine and game development.
ANALYTICS
What We Do
Our Data & Analytics teams build powerful stories and visuals that inform the games we make, the technology we develop, and business decisions that drive Epic.
What You'll Do
Epic Games is looking for a hands-on Data Science Lead to join the Gameplay Analytics team. You'll lead a team of Data Scientists and Data Engineers and apply mixed methods to own the end-to-end life cycle of creating data assets, reports, insights, to impact the direction of efforts across Epic's portfolio of products and ecosystems, with a particular focus on our Shooters Games (Battle Royale, Reload, OG, Blitz). The successful candidate will have the ability to apply a range of data technologies, statistical methods, and visualization methods to influence development and product teams, to manage a small team, and to partner with stakeholders across all parts of the business.
In this role, you will
  • Partner with design, game development, and product management counterparts to identify opportunities for our first party Games and the business, and use data to develop metrics and insights that shape the execution of the strategy
  • Work directly with engineering and data platform teams to properly scope and capture the data required to unlock insights and data models
  • Transform raw data into data models, production metrics, reports, and insights
  • Continuously evaluate the effectiveness of metrics and align them with long-term ecosystem growth
  • Work with design, product, and analytics teams to quickly and rigorously design, test, and learn from experiments to improve our games
  • Lead a small team of data analysts, help mentor them, and set the direction of our analytics approach
What we're looking for
  • At least 5 years of industry or relevant experience, with proven interest in and knowledge of live service video games
  • At least 2 years of experience managing a team of data professionals
  • Strong product intuition and demonstrated background in influencing products by applying data and measurement to drive alignment
  • Experience with working with development teams to instrument data and ensure continued data quality
  • Experience with writing efficient and scalable SQL over billions of rows; it is a plus if you are familiar with distributed computing using Spark (Scala or PySpark)
  • Development experience in Python analytics ecosystem
  • Familiarity with supporting operational processes including: Code version control (Github or similar), Orchestration (Airflow), AI coding tools (Claude Code)
  • Understanding of experimental design and A/B testing techniques
  • Advanced statistical training and a thorough understanding of the associated strengths and weaknesses of different statistical approaches is a plus
  • Experience in a "full-stack" environment - data file ingest, ETL, data storage interaction, application development, communication of results to storage systems, code version control is a plus
EPIC JOB + EPIC BENEFITS = EPIC LIFE
Our intent is to cover all things that are medically necessary and improve the quality of life. We pay 100% of the premiums for both you and your dependents. Our coverage includes Medical, Dental, a Vision HRA, Long Term Disability, Life Insurance & a 401k with competitive match. We also offer a robust mental well-being program through Modern Health, which provides free therapy and coaching for employees & dependents. Throughout the year we celebrate our employees with events and company-wide paid breaks. We offer unlimited PTO and sick time and recognize individuals for 7 years of employment with a paid sabbatical.
ABOUT US
Epic Games is a leading interactive entertainment company. For over 30 years we've been making award-winning games and engine technology that empowers others to make visually stunning games and 3D content that bring environments to life like never before. Epic's award-winning Unreal Engine technology not only provides game developers the ability to build high-fidelity, interactive experiences for PC, console, mobile, and VR, it is also a tool being embraced by content creators across a variety of industries such as media and entertainment, automotive, and architectural design. As we continue to build our Engine technology and develop remarkable games, we strive to build teams of world-class talent.
Like what you hear? Come be a part of something Epic!
Epic Games deeply values diverse teams and an inclusive work culture, and we are proud to be an Equal Opportunity employer. Learn more about our Equal Employment Opportunity (EEO) Policy here.
Note to Recruitment Agencies: Epic does not accept any unsolicited resumes or approaches from any unauthorized third party (including recruitment or placement agencies) (i.e., a third party with whom we do not have a negotiated and validly executed agreement). We will not pay any fees to any unauthorized third party. Further details on these matters can be found here.

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