ZipRecruiter

Log In

1

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

LexisNexis

Director, Data Sciences

Raleigh, NC · On-site

Define and execute the data science vision and roadmap aligned with business objectives and technological advancement opportunities. * Team Management : Build, lead, and mentor a high-performing team ...

LexisNexis

Director, Data Sciences

Raleigh, NC · On-site +1

Define and execute the data science vision and roadmap aligned with business objectives and technological advancement opportunities. * Team Management : Build, lead, and mentor a high-performing team ...

Advance Auto Parts, Inc.

Data Scientist

Raleigh, NC · On-site

Bachelor's degree in Computer Science, Information Technology, Data Science, or Mathematics ... Proven experience with batch/stream pipelines, schema management, partitioning, performance tuning ...

Advance Auto Parts

Data Scientist

Raleigh, NC · On-site +1

Bachelor's degree in Computer Science, Information Technology, Data Science, or Mathematics ... Proven experience with batch/stream pipelines, schema management, partitioning, performance tuning ...

LexisNexis

Director, Data Sciences

Raleigh, NC · On-site +1

Define and execute the data science vision and roadmap aligned with business objectives and technological advancement opportunities. * Team Management : Build, lead, and mentor a high-performing team ...

Peter Millar

Senior Data Scientist

Durham, NC

... management. * Identify and scale high-value AI use cases across the business. Technical Competencies (Preferred): * Microsoft Fabric -- hands-on experience deploying models in the Fabric Data Science ...

Siemens

Principal Data Scientist

Raleigh, NC · On-site

$122K - $210K/yr

Beyond leading our core data science practice - predictive maintenance, asset health, failure ... Background in IoT, predictive maintenance, asset management, or industrial systems * Experience in ...

Galaxy i Technologies, Inc.

Lead Data Scientist

Cary, NC · On-site

... management, and cloud-native architectures.    Essential Business Experience and Technical Skills:  Required:  • Bachelor's or master's degree in computer science, Data Science, Engineering ...

New

Truist

Data Scientist II

Raleigh, NC · On-site

... science solution design, technical delivery, and measurable business outcome. 4. Engage in ... Availability Able to work all hours scheduled, including overtime as directed by manager/supervisor ...

next page

Showing results 1-20

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

Data Science Manager information

See Raleigh, NC salary details

$30.1K

$94.4K

$167.2K

How much do data science manager jobs pay per year?

As of Jul 11, 2026, the average yearly pay for data science manager in Raleigh, NC is $94,427.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,200.00 and $122,000.00 per year, depending on experience, location, and employer.

What are the primary responsibilities of a Data Science Manager on a day-to-day basis?

As a Data Science Manager, your daily responsibilities typically include overseeing a team of data scientists and analysts, setting project priorities, and ensuring the timely delivery of data-driven solutions. You will often collaborate with cross-functional teams, such as engineering, product, and business stakeholders, to define problems, scope solutions, and communicate analytical insights. Your role also involves mentoring team members, reviewing code and analysis, and driving best practices in data science methodologies. This position requires balancing technical project oversight with team leadership and strategic business alignment.

What is a Data Science Manager job?

A Data Science Manager leads a team of data scientists to develop and implement data-driven solutions for business challenges. They oversee project timelines, ensure the quality of data analysis, and collaborate with cross-functional teams to drive decision-making. In addition to technical expertise, they require strong leadership, communication, and strategic thinking skills. Their role bridges the gap between data science initiatives and business objectives, ensuring the team's work aligns with company goals.

Is 40 too late for data science?

Age is not a barrier to becoming a data science manager; many professionals transition into data science roles later in their careers. Success depends on relevant skills, experience, and continuous learning in areas like programming, statistics, and machine learning. Employers value diverse backgrounds and practical expertise regardless of age.

What is the 80 20 rule in data science?

The 80/20 rule in data science suggests that roughly 80% of results come from 20% of the efforts or data. Data scientists often use this principle to focus on the most impactful features, models, or data subsets to improve efficiency and outcomes in projects.

What is the role of a data science manager?

A data science manager oversees data science teams, guiding project priorities, setting strategic goals, and ensuring the effective use of data analysis and modeling techniques. They coordinate between technical staff and business stakeholders, often requiring skills in leadership, communication, and familiarity with tools like Python, R, or SQL. Their responsibilities include managing workflows, mentoring team members, and ensuring project deliverables align with organizational objectives.

How much do data scientist managers make?

Data Science Managers typically earn between $110,000 and $160,000 annually, with salaries varying based on experience, location, and company size. They often oversee teams of data scientists, coordinate projects, and require strong skills in analytics tools and leadership. Senior roles or those in high-cost areas can offer higher compensation.

What are the key skills and qualifications needed to thrive in the Data Science Manager position, and why are they important?

To thrive as a Data Science Manager, you need strong analytical skills, experience in machine learning and data analytics, and a background in statistics or computer science, often supported by an advanced degree. Familiarity with tools like Python, R, SQL, cloud platforms, and experience managing data science projects are highly valued, and certifications such as Certified Analytics Professional (CAP) can be advantageous. Excellent leadership, project management, and communication skills are crucial for guiding teams and translating technical findings for stakeholders. These abilities ensure effective team performance, successful project delivery, and the alignment of data science initiatives with organizational goals.

What are the most commonly searched types of Data Science jobs in Raleigh, NC? The most popular types of Data Science jobs in Raleigh, NC are:
What are popular job titles related to Data Science Manager jobs in Raleigh, NC? For Data Science Manager jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Data Science Manager jobs in Raleigh, NC look for? The top searched job categories for Data Science Manager jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Data Science Manager jobs? Cities near Raleigh, NC with the most Data Science Manager job openings:
Data Science Manager jobs near you
Infographic showing various Data Science Manager job openings in Raleigh, NC as of July 2026, with employment types broken down into 77% Full Time, 5% Part Time, 3% Temporary, and 15% Contract. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $94,427 per year, or $45.4 per hour.
Director, Data Sciences

Director, Data Sciences

LexisNexis

Raleigh, NC • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 25 days ago

LexisNexis rating

7.6

Company rating: 7.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

160th of 449 rated business services

Job description

** Please note that the selected individual for this role will be expected to work in our Raleigh, NC location from the time of joining. If you reside outside of the Raleigh region and you are unable or unwilling to relocate, then please consider other roles across our organization that might allow for remote locations. **
About our Team:
LexisNexis Legal & Professional, serving customers in over 150 countries with 11,800 employees worldwide, is part of RELX, a global provider of information-based analytics and decision tools for professional and business customers. Our company is a leader in deploying AI and advanced technologies to improve productivity and transform the legal market. We prioritize using the best models from today's top creators for each legal use case.
About the Role:
The Director, Data Sciences raises data-driven decision making of a function within a business unit through team leadership. They are also client/industry-facing, and they evangelize methodologies and best practices. They lead people and teams to develop an overall strategy for the execution of projects including creating use cases, roadmaps, alignment of stakeholders, and prioritization. This person acts as coach and leader of Managers and Data Scientists, as well as other resources. Influence should extend outside the director's immediate team to other teams within the director's peers. The Director drives development and implementation across the team to the business, rooted in a deep understanding of our customers, markets, trends, and challenges.
Responsibilities:
  • Strategic Leadership: Define and execute the data science vision and roadmap aligned with business objectives and technological advancement opportunities.
  • Team Management: Build, lead, and mentor a high-performing team of data scientists, fostering a culture of innovation, collaboration, and continuous learning.
  • Advanced Research Direction: Direct cutting-edge research initiatives in NLP, LLMs, and other emerging AI technologies to maintain competitive advantage. Champion innovation by staying current with the latest trends and techniques in data science and allocating resources to promising new approaches.
  • Machine Learning and AI Solutions: Lead the development and implementation of machine learning algorithms and AI solutions to solve complex business problems. Data Analysis and Modeling: Oversee advanced data analysis, modeling, and machine learning to develop predictive and prescriptive models that drive business outcomes.
  • Data Collection and Preparation: Establish protocols for collecting, cleaning, and preprocessing large datasets, ensuring data quality and reliability.
  • Data Visualization Strategy: Guide the creation of informative and compelling data visualizations to communicate results and insights to stakeholders effectively.
  • Cross-functional Collaboration: Partner with executive leadership and cross-functional teams to identify strategic opportunities and address business challenges.
  • Model Deployment and MLOps: Oversee the deployment of machine learning models into production environments, ensuring scalability and reliability.
  • Documentation Standards: Establish comprehensive documentation standards for projects, models, and code for knowledge sharing and reproducibility.
  • Stakeholder Management: Communicate the value and impact of data science initiatives to C-suite executives and business stakeholders.
  • Budget and Resource Management: Manage departmental budget, resource allocation, and infrastructure needs for data science operations.
  • Ethical AI Governance: Develop and enforce ethical guidelines and best practices for AI development and deployment.

Requirements:
  • Bachelors, Masters or Ph.D. in Data Science, Computer Science, Statistics, or a related field; MBA or additional business education is a plus.
  • 10+ years of progressive experience in data science, machine learning, or AI, with at least 8 years in leadership positions.
  • Demonstrated experience in managing and scaling data science teams of 15+ professionals.
  • Proven record of delivering high-impact AI and ML solutions that have driven significant business value.
  • Deep expertise with generative AI models and techniques (e.g., LLMs, GANs) for content generation and their practical applications.
  • Advanced knowledge of statistical analysis, machine learning algorithms, and data manipulation techniques at enterprise scale.
  • Experience in setting technical direction and implementing MLOps practices for model deployment and monitoring.
  • Strong business acumen with the ability to translate complex technical concepts into business value.
  • Excellent communication and leadership skills, with experience presenting to executive leadership.
  • Experience working in a global or multicultural environment
  • Record of successful collaboration with product, engineering, and business teams.
  • Proficiency in multiple programming languages relevant to data science (Python, R, etc.) and big data technologies.

Work in a way that works for you:
We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.
Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive
Working for you:
We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
  • Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits
  • Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan
  • Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs
  • Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity
  • Family Benefits, including bonding and family care leaves, adoption, and surrogacy benefits
  • Health Savings, Health Care, Dependent Care and Commuter Spending Accounts
  • Up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice

About the Business:
LexisNexis Legal & Professional® provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis® and Nexis® services.
#AIFluency
U.S. National Base Pay Range: $136,100 - $252,800. Geographic differentials may apply in some locations to better reflect local market rates.This job is eligible for an annual incentive bonus.
We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.
Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here
Please read our Candidate Privacy Policy.
We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
USA Job Seekers:
EEO Know Your Rights.

What LexisNexis employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply