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Director Data Scientist Jobs (NOW HIRING)

PassFort

Asst Dir - Data Scientist

King Of Prussia, PA · On-site

$100 - $130/hr

Education * Ph.D. in Computer Science, Statistics, Applied Mathematics, Economics, Finance ... well‑engineered data. * Apply deep expertise in statistical, machine learning, and ...

PassFort

Asst Dir - Data Scientist

Manhattan, NY · On-site

$116.50 - $212.20/hr

D. in Computer Science, Statistics, Applied Mathematics, Economics, Finance, Operations Research ... well‑engineered data. * Apply deep expertise in statistical, machine learning, and ...

Chewy

Director, Data Science

Bellevue, WA · On-site

Your Opportunity We are hiring a Director, Data Science to own and lead all Ads Data Science for Chewy-fully accountable for the science strategy and production implementation behind Chewy's onsite ...

Chewy

Director, Data Science

Bellevue, WA

Your Opportunity We are hiring a Director, Data Science to own and lead all Ads Data Science for Chewy--fully accountable for the science strategy and production implementation behind Chewy's onsite ...

Gartner, Inc.

Director, Data Science

Stamford, CT · On-site

The Director, Data Science will lead efforts across personalization, recommendation systems, and GenAI chatbot tools, delivering scalable intelligence that drives hyper-personalized experiences and ...

Walmart

Director- Data Science

Bellevue, WA · On-site

$156K - $312K/yr

Position Responsibilities As Director, Data Science, you will lead and develop a team that enables Walmart Marketplace. This role is focused on technical and thought leadership, people ...

Gartner

Director, Data Science

Arlington, VA · Remote

The Director, Data Science will lead efforts across personalization, recommendation systems, and GenAI chatbot tools, delivering scalable intelligence that drives hyper-personalized experiences and ...

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Director Data Scientist information

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$37.5K

$122.7K

$196.5K

How much do director data scientist jobs pay per year?

As of Aug 20, 2026, the average yearly pay for director data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 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 cities are hiring for Director Data Scientist jobs?

Cities with the most Director Data Scientist job openings:

What are the most commonly searched types of Data Scientist jobs?

The most popular types of Data Scientist jobs are:

What states have the most Director Data Scientist jobs?

States with the most job openings for Director Data Scientist jobs include:

Director Data Scientist jobs near you
Infographic showing various Director Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Asst Dir - Data Scientist

PassFort

King Of Prussia, PA • On-site

$100 - $130/hr

Other

Posted 14 days ago

Job description

Moody’s is advancing AI to move from insight to action—enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence.

Skills and Competencies
  • Hands‑on experience building, training, and evaluating deep‑learning models, with familiarity of modern architectures such as transformers, sequence and representation‑learning models.
  • Ability to explain complex modeling work clearly to senior leaders, cross‑functional partners, and non‑technical stakeholders, in both writing and speech.
  • Strong programming skills in Python or R.
  • Depth in one or more deep‑learning domains relevant to our work: representation learning for structured financial data, NLP for filings/news/unstructured text, or forecasting for macro and financial time series (Preferred).
  • Exposure to cloud platforms such as AWS, GCP, or Azure (Preferred).
  • Experience developing and deploying models on large, complex real‑world datasets: financial statements, macro time series, text, and other unstructured sources (Preferred).
  • Ability to own the full model‑development lifecycle: conceptualization, data exploration, design, estimation, validation, deployment, user training, and monitoring (Preferred).
  • Research output: publications, conference work, or open‑source contributions (Preferred).
Education
  • Ph.D. in Computer Science, Statistics, Applied Mathematics, Economics, Finance, Operations Research, or a related quantitative field; or a master’s degree in any of these fields, with 2‑3 years of experience in the financial industry.
Responsibilities
  • Partner across Moody’s business lines to enhance modeling and analytical frameworks, incorporating state‑of‑the‑art ML and deep‑learning techniques.
  • Design and deliver innovative analytical solutions, leveraging deep learning and quantitative methods to address complex financial, economic, and operational problems.
  • Identify opportunities for automation and model‑based decision enhancement, applying neural networks, representation learning, and statistical methods to improve accuracy, efficiency, and performance.
  • Collaborate with cross‑disciplinary teams to build scalable, cloud‑based analytical platforms grounded in clean, well‑engineered data.
  • Apply deep expertise in statistical, machine learning, and deep‑learning methods to develop insights and decision frameworks for internal stakeholders and clients.
  • Provide technical leadership, advising business partners on modeling strategy, trade‑offs, and the appropriate role of deep learning in analytical solutions.
  • Communicate technical subject matter clearly and concisely, ensuring that insights, limitations, and implications are well understood by diverse audiences.
About the Team

The Credit Center of Excellence (COE) at Moody’s is dedicated to developing, enhancing and maintaining our industry‑leading credit analytics and predictive modelling capabilities. Our analytics and models are used by institutions worldwide to make credit, risk management, pricing, and investment decisions. We are a global team that works closely with product management, commercial strategy, and go‑to‑market leaders to ensure high‑quality credit risk assessments and solutions.

Moody’s is an equal‑opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law.

Candidates for Moody’s Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.

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