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Director Data Science Jobs in Washington (NOW HIRING)

Director, Data Architecture Reports to: Chief Digital & Data Officer Location: United States ... Bachelor's degree required, preferably in Computer Science, Information Systems, or a related ...

Key Responsibilities Data Science & Analytics * Partner with practice leaders and clients to ... Experience in email marketing and direct marketing * Experience managing people * Proficiency in ...

Data Science SME Mid TULK supports U.S. national security customers with cleared experts who ... directed by the customer. * Education: A bachelor's degree from an accredited (i.e., regional ...

Key Responsibilities Data Science & Analytics * Partner with practice leaders and clients to ... Experience in email marketing and direct marketing * Experience managing people * Proficiency in ...

Key Responsibilities Data Science & Analytics * Partner with practice leaders and clients to ... Experience in email marketing and direct marketing * Experience managing people * Proficiency in ...

Parsons is looking for an amazingly talented Senior Data Science Consultant to join our team! The ... Configure Government-directed data platform capabilities to enable MA data analysis, monitoring ...

Data Science SME Senior TULK supports U.S. national security customers with cleared experts who ... directed by the customer. * Education: A bachelor's degree from an accredited (i.e., regional ...

... data science methods, analytical models, and Palantir Foundry applications in direct support of Mission Assurance decision-making. Where the Senior Solutions Architect provides architectural ...

Showing results 21-40

Director Data Science information

See Washington salary details

$61.2K

$175.4K

$276.4K

How much do director data science jobs pay per year?

As of Sep 1, 2026, the average yearly pay for director data science in Washington is $175,409.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,600.00 and $214,600.00 per year, depending on experience, location, and employer.

What is a director data science?

A Director of Data Science leads a team of data scientists and analysts to drive data-driven decision-making within an organization. They develop strategic initiatives, oversee machine learning and analytics projects, and collaborate with executives to align data efforts with business goals. The role requires expertise in data science, leadership, and communication to translate complex insights into actionable strategies.

What types of teams and professionals will I collaborate with as a director data science?

As a Director Data Science, you will regularly collaborate with cross-functional teams including business analysts, data engineers, software developers, product managers, and senior executives. Your role often involves translating business goals into data-driven strategies, as well as mentoring and guiding data scientists and analysts on your team. You may also work closely with stakeholders from marketing, operations, and finance to align analytics initiatives with organizational objectives. This collaborative environment fosters innovative solutions and ensures data science efforts have a meaningful impact on overall business performance.

What are the key skills and qualifications needed to thrive in the director data science position, and why are they important?

To thrive as a Director Data Science, you need a deep understanding of advanced statistical modeling, machine learning, and data strategy, typically backed by an advanced degree in a quantitative field and significant leadership experience. Proficiency with tools such as Python, R, SQL, cloud data platforms, and familiarity with data governance frameworks and certifications like Certified Analytics Professional (CAP) are common requirements. Outstanding communication, stakeholder management, and team leadership abilities make candidates stand out in this position. These skills ensure the successful translation of complex data insights into actionable business strategies and the effective leadership of high-performing data science teams.

What are the most commonly searched types of Data Science jobs in Washington?

The most popular types of Data Science jobs in Washington are:

What are popular job titles related to Director Data Science jobs in Washington?

For Director Data Science jobs in Washington, the most frequently searched job titles are:

What cities in Washington are hiring for Director Data Science jobs?

Cities in Washington with the most Director Data Science job openings:

Infographic showing various Director Data Science job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 9% Part Time, 2% Temporary, and 7% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $175,409 per year, or $84.3 per hour.

Data Science - Advisor / SME

Technology Ventures

Reston, VA • On-site

Other

Posted 14 days ago


Job description

Job Title : Data Science - Advisor / SME
Location : 3 days onsite / week 1100 15th Street Northwest VA USA 20190 Duration : 6 Months Contract to start
Description:
  • The Finance - Data Science - Advisor role will offer you the flexibility to make each day your own, while working alongside people who care so that you can deliver on the following responsibilities:
  • Use advanced mathematical, analytical, or econometric tools to create algorithms and analyses that will be used to support the Multifamily CECL and DFAST/forecasting processes within the Finance organization.
  • Research and evaluate model results and perform credit-related analyses for both expected and stress scenarios including CECL/DFAST.
  • Coordinate team activities with product and/or business owners, data engineers, and platform teams to understand business needs and current capabilities, data availability, and alternative uses to drive success of parts of projects, programs, or products.
  • Ensure application of statistical modeling capabilities from disciplines, such as computer science, computational science and methods, statistics, econometrics, data optimization, and data visualization.
  • Build predictive analytic capabilities within the team to enhance the delivery of business applications, and support the integration of data and statistical models or algorithms.
  • Apply innovative industry practices in research and testing to product development, deployment, and maintenance.
  • Oversee the design and build of new modeling applications to support risk measurement, financial valuation, decision making, and business performance for parts of products or initiatives.
  • Ensure the team communicates complex ideas and solutions effectively to business partners through data visualizations, technical documentation, and non-technical presentation materials.
Minimum Required Experiences
Total 10 years and 6 years in Data Science
Desired Experiences
Bachelor degree or equivalent
A Master's degree or equivalent in Data Science, Applied Economics, Statistics, or other similar graduate studies
  • Familiarity with advanced techniques including machine learning and natural language processing (NLP)
  • Prior quantitative and finance training, including forecasting/stress testing (DFAST) knowledge.
  • Ability to direct and evaluate the more technical aspects of data analysis and research, while also managing team in a timely manner to focus on the broader context and key impacts of the analysis
  • Ability to build and maintain strong business relationships with partners
  • Strong written and verbal communication skills
  • Relationship management including managing and engaging stakeholders, partners, customers, and building relationship networks
  • Strong analytical and problem-solving skills to conduct and manage analysis to address complex business problems
  • Programming including coding, debugging, and using relevant languages such as Python, R, SQL, or similar
  • Experience in the process of analyzing data to identify trends or relationships to generate business insights and inform conclusions about the data
  • Expertise in visualizing data to identify, summarize and explain observed data patterns