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Director Data Scientist Jobs in Raleigh, NC (NOW HIRING)

Senior Data Scientist

Durham, NC · On-site

$90 - $120/hr

The Senior Data Scientist expands Peter Millar's data science capacity beyond customer analytics ... have direct revenue impact, partners with data engineering to productionize workflows, and helps ...

... direct or indirect). Qualifications : Required : • Masters plus 7-10 years of work-related ... lead and mentor junior data scientists, and collaborate with cross-functional teams. • ...

... direct or indirect). Qualifications : Required : • Masters plus 7-10 years of work-related ... lead and mentor junior data scientists, and collaborate with cross-functional teams. • ...

While it does not include direct people management, it requires strong technical modeling skills, ownership of regulatory filings and objections, and mentorship of junior data scientists and analysts.

Sr. Data Scientist The team + the role Pendo's GTM Intelligence Team turns data into measurable ... Direct experience working in or alongside a GTM function, such as Sales ops, Marketing analytics ...

While it does not include direct people management, it requires strong technical modeling skills, ownership of regulatory filings and objections, and mentorship of junior data scientists and analysts.

Senior Data Scientist III

Raleigh, NC · On-site

$115K - $192K/yr

Working with product leaders to apply data science solutions ... Leading small- to medium-sized teams (direct or indirect). Requirements * Masters plus 7-10 years ...

Senior Data Scientist III

Raleigh, NC · On-site

$115K - $192K/yr

Working with product leaders to apply data science solutions ... Leading small- to medium-sized teams (direct or indirect). Requirements * Masters plus 7-10 years ...

While it does not include direct people management, it requires strong technical modeling skills, ownership of regulatory filings and objections, and mentorship of junior data scientists and analysts.

While it does not include direct people management, it requires strong technical modeling skills, ownership of regulatory filings and objections, and mentorship of junior data scientists and analysts.

Sr. Data Scientist

Raleigh, NC · On-site

$133 - $160/hr

As a Senior Data Scientist, you'll own the full lifecycle of intelligence solutions, from problem ... Direct experience working in or alongside a GTM function, such as Sales ops, Marketing analytics ...

The Senior Data Scientist will work in a cross-functional team environment under the direction of the Ecosystem Director of Analytics. In addition to other responsibilities, this position will ...

... direct impact. Join Gilead and help create possible, together. AI/ML Data Scientist, US Commercial As part of our enterprise AI strategy to speed life-changing therapies to patients, we are seeking ...

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Showing results 1-20

Director Data Scientist information

See Raleigh, NC salary details

$36.4K

$119.2K

$190.8K

How much do director data scientist jobs pay per year?

As of Aug 30, 2026, the average yearly pay for director data scientist in Raleigh, NC is $119,181.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,600.00 and $132,100.00 per year, depending on experience, location, and employer.

What does a Director Data Scientist do?

A Director Data Scientist leads and manages a team of data scientists, setting the strategic direction for data-driven projects within an organization. They oversee the development and implementation of advanced analytics, machine learning models, and data solutions to solve complex business problems. In addition to technical expertise, they collaborate with other departments, mentor staff, and communicate insights to senior leadership to drive decision making. Their role bridges the gap between technical teams and business goals, ensuring that data initiatives align with organizational objectives.

How does a Director Data Scientist balance hands-on technical work with leadership responsibilities?

As a Director Data Scientist, you can expect to split your time between strategic leadership and hands-on data science work. While you will lead and mentor teams, set vision, and drive cross-functional initiatives, you’ll also stay involved in high-level modeling, code review, and project architecture to ensure technical excellence. The proportion of hands-on work versus leadership duties often depends on company size and project needs, but maintaining technical involvement is key to effective leadership and team credibility. This balance allows you to guide your team with up-to-date expertise while also influencing organizational data strategy.

What are the key skills and qualifications needed to thrive as a Director Data Scientist?

To thrive as a Director Data Scientist, you need advanced expertise in statistical modeling, machine learning, and data analysis, typically supported by a graduate degree in a quantitative field and extensive industry experience. Mastery of programming languages like Python or R, experience with big data platforms such as Hadoop or Spark, and familiarity with cloud-based data solutions are essential, along with relevant certifications like Certified Analytics Professional (CAP). Exceptional leadership, strategic thinking, and communication skills set top candidates apart by enabling them to manage teams and translate complex insights for stakeholders. These skills are crucial for driving data-driven decision-making and ensuring the successful implementation of analytics initiatives across the organization.

What is the difference between Director Data Scientist vs Senior Data Scientist?

AspectDirector Data ScientistSenior Data Scientist
ResponsibilitiesOversees data science teams, sets strategic goals, manages projects, and aligns data initiatives with business objectives.Develops advanced models, analyzes complex data, and provides insights; focuses on technical expertise and project execution.
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related; often requires 8+ years experience; leadership skills valued.Bachelor's or Master's in relevant field; typically 5+ years experience; strong technical skills essential.
Work EnvironmentLeadership roles in corporate or enterprise settings, collaborating with cross-functional teams.Hands-on technical environment, often within analytics or data science teams.

The main difference between a Director Data Scientist and a Senior Data Scientist lies in scope and leadership. The Director oversees teams and strategic initiatives, while the Senior Data Scientist focuses on technical expertise and project delivery. Both roles require strong data science skills, but the director position emphasizes management and strategic planning.

What are the most commonly searched types of Data Scientist jobs in Raleigh, NC?

The most popular types of Data Scientist jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Director Data Scientist jobs?

Cities near Raleigh, NC with the most Director Data Scientist job openings:

Infographic showing various Director Data Scientist job openings in Raleigh, NC as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $119,312 per year, or $57.4 per hour.

Director, Data Engineering

Durham, NC • On-site


Fidelity Investments
Investment Management and Consulting Services • 10K+ employees

8.7

Company rating: 8.7 out of 10

Based on 272 frontline employees who took The Breakroom Quiz

16th of 152 rated financial services

People enjoy working here

Good employer

Recommended by students


Full-time

Re-posted 7 days ago


Job description

Job Description:

Position Description:

Note: Fidelity will not provide immigration sponsorship for this position.

Provides technology and functional leadership and expertise in solutioning Security Exchange Commission (SEC) Regulatory Fund and Aggregate monitoring rules for compliance monitoring. Solutions various data and data warehousing needs for Investment Compliance Engine (ICE). Oversees junior developers by providing guidance and supervising the requirement analysis, design, and end-to-end delivery process, including reviewing designs, data models, and developed code. Manages Agile teams, conducts agile ceremonies, and backlog grooming sessions to help with estimation and planning. Draws on in-depth knowledge of the business or function to provide business unit-wide solutions by developing complex, multi-faceted data solutions. Researches and recommends new technologies in support of the strategic direction of the business unit and participates in the research and recommendation of appropriate models, methods, tools, and technologies to achieve business-unit-wide solutions.

Primary Responsibilities:

  • Translates and incorporates business vision and strategy to architectural strategy.
  • Participates in business and technology fusion sessions with product teams on new requirements for monitoring rules.
  • Identifies potential gaps in the current operation models and design component enhancements.
  • Identifies functional gaps and technical challenges, and works with compliance technology teams, architecture, and product owners to propose solutions.
  • Serves as a technical lead on core engine module enhancements for initiatives.
  • Sets best engineering practices in database code development and Agile process.
  • Identifies and consults with internal and external technical resources to produce cross-company strategic designs.
  • Consults on development and delivery of major technology initiatives for the business unit.
  • Consults on deployment of major project deliverables.
  • Consults on the documentation of major technology applications.
  • Initiates and drives project or strategy discussions with users or external groups to resolve issues.
  • Provides leadership, technical supervision, and expertise to multiple teams in broad technical areas on complex organization-wide projects.
  • Advises senior management on technical strategy.
  • Researches and recommends new technologies.
  • Regularly provides guidance, training, and coaching to other team members for performance and career development.
  • Identifies and plans for future resource needs.

Education and Experience:

Bachelor's degree in Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and six (6) years of experience as a Director, Data Engineering (or closely related occupation) designing, developing and implementing information technology solutions in a financial services, operations, and product development environment.

Or, alternatively, Master's degree in Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and four (4) years of experience as a Director, Data Engineering (or closely related occupation) designing, developing and implementing information technology solutions in a financial services, operations, and product development environment.

Skills and Knowledge:

Candidate must also possess:

  • Demonstrated Expertise ("DE") identifying and performing analysis and design of highly scalable and performant investment compliance monitoring systems, leveraging data for the implementation of Fund Monitoring (FM), Aggregate Monitoring (AM), and Limit Analysis (LA) tests during Time-Of-Trade (ToT) and as part of End-Of-Day (EOD) batch cycle, using Oracle, Informatica, and Kafka; and performing analysis of investment compliance needs (Fund of Fund (FoF) explosion and derivatives look-through), using Oracle tools.
  • DE building system architecture designs and developing solutions for application data storage, using Oracle technologies; performing data warehousing using Informatica, Oracle tools, and Information barriers; creating and customizing data quality frameworks as per compliance monitoring needs, using Oracle Enterprise Data Quality (EDQ); providing data protection for data structures using Oracle tools and Security Assertion Markup Language (SAML) Single Sign-On (SSO) frameworks; performing performance tuning and optimization using Oracle tools; and performing shell scripting and scheduling using Autosys.
  • DE provisioning Cloud infrastructure components -- Elastic MapReduce (EMR), Elastic Compute Cloud (EC2), Elastic Kubernetes Service (EKS), Relational Database Service (RDS), and Elastic Load Balancer setup -- for data analysis, reporting, and consumption on Cloud, using Amazon Web Services (AWS), AWS Lambda server-less computing, Cloud formation, and CI/CD tools (Jenkins and GitHub).
  • DE performing Aerospike caching to improve real-time compliance and check performance improvement, using Oracle; and designing and developing real-time ingestion pipes into Snowflake, using Snowflake analytics.

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#LI-DNI

Fidelity's Onsite Working Model
Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.

Certifications:Category:Information Technology

Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.



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