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

Triwill Group

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 ...

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Epic Games

Senior Data Scientist

Cary, NC · On-site

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 ...

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All JobsData Scientist JobsDirector Data Scientist JobsDirector Data Scientist Jobs in Raleigh, NC

Director Data Scientist information

See Raleigh, NC salary details

$36.5K

$119.3K

$191K

How much do director data scientist jobs pay per year?

As of Aug 8, 2026, the average yearly pay for director data scientist in Raleigh, NC is $119,312.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,800.00 and $132,200.00 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.

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 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.

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 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:
Director Data Scientist jobs near you
Infographic showing various Director Data Scientist job openings in Raleigh, NC as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $119,312 per year, or $57.4 per hour.

JX22004069692 - Director - Data Architecture (Durham)

Sonya M. Recruiting

Durham, NC • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

About the job JX22004069692 - Director - Data Architecture

10 Years

Contract (6 Months)

Pay Rate USD 123 hourly

We are seeking a highly skilled and experienced Data Architect to join our team and play a crucial role in designing and optimizing data solutions for our cryptocurrency and blockchain-based applications.

As a Director of Data Architecture, you collaborate and build strong relationships with our business partners and technical product teams to drive our data architectures and implement leading cloud-based database technologies as enablers for key investment management business capabilities.

At Client architects are leaders in technology, playing an impactful role in driving all aspects of business architecture, technology planning and execution, providing direction to our business partners and technology product teams, along with participating in hands‑on technical work.We are looking for dynamic individuals to lead us in driving innovative data architectures and exploring data technologies to support our next generation of investment products and offerings.

The Expertise and Skills You Bring
  • Expert knowledge and hands‑on experience in architecting and implementing blockchain and cryptocurrency applications.
  • Passion for working with leading cloud‑based data technologies, providing innovative and well architected solutions.
  • Business and technical curiosity, working with others to foster ideas and produce creative solutions to difficult problems while making smart choices balancing design and delivery.
  • Proficiency at understanding enterprise data architecture concepts, master data management, data modeling and design techniques.
  • Significant experience working in complex data environments in an engineering, design, and architecture capacity; including enterprise warehouses, marts, operational stores and data lakes.
  • Experience in collaborating with data engineering & database administrators and is a plus.
  • Experienced with cloud deployment practices and patterns, building data applications that leverage cloud native technologies.
  • Well‑grounded knowledge of engineering and continuous delivery practices.
  • Proven leadership skills, demonstrated ability to mentor, influence and partnering with engineering, and product teams to deliver scalable robust data solutions.
  • Hands‑on experience Snowflake, DynamoDB, PostgreSQL NoSQL platforms is a plus. Solid experience in driving Automation, Data Quality Security and Governance practices.
  • Current on event processing, Data API and recent emerging data technologies. Exposure to Python, Data Science and Machine Learning methodologies desired.
  • A strong influencer who can integrate effectively into the culture, combining facilitation skills with a results orientation to deliver excellence and execution. Demonstrated organizational savvy and maturity, for working effectively across different organizational units and business groups. Good interpersonal and communication skills.
  • Undergraduate degree in computer science or a related field ideally combined with an advanced technical degree.
  • Proven experience as a Data Architect, with a focus on blockchain and cryptocurrency applications.
  • Strong understanding of blockchain technology, smart contracts, and distributed ledger systems.
  • Proficiency in data modeling and database design, including knowledge of SQL and NoSQL databases.
  • Knowledge of data privacy and security best practices, especially in the context of blockchain.
  • Depth of knowledge in architecture and an ability to translate business objectives into technology solutions. Experience in a wide array of architecture patterns including architecting highly performant systems, event‑driven architectures, APIs, data architecture and security architectures.
  • Knowledge of cloud architecture patterns, and the cloud platforms, especially AWS is desired.
  • Strong technical foundation: including an undergraduate degree in computer science or a related field, ideally combined with sophisticated technical degree. Knowledge of the financial industry and portfolio management concepts is a plus.
  • Passionate about technology and its application to solve intricate problems in areas such as investment management, compliance, and risk.
  • Demonstrated ability in defining new and/or evolving existing data strategies; aligning with enterprise direction, collaborating with, and influencing technology product teams to adopt and implement accordingly.
  • Collaborate with architect communities across Asset Management and in cross business unit working teams at the enterprise level.
The Team
  • Asset Management Technology Architecture provides strategic technology direction and architecture vision for Client's Asset Management businesses. Come join us in driving the technology and success of an outstanding Asset Management team.
  • Drives the data architecture database technology vision to support the next generation of Asset Management products and business needs.
  • Partners with business and technology teams to define and implement solutions supporting the Asset Management business.
  • Proactively investigates, proves out and incorporates new technologies and capabilities, staying ahead of business and product team needs.
  • Defines patterns and standards for data platforms, design, engineering and development.
  • Leads, mentors, and provides design and architecture for delivery and DBA teams.
  • Collaborates with product and engineering leads and senior management on product and delivery requirements, roadmaps, and vision.
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