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Senior Director Data Science Jobs in Springfield, VA

Senior Data Scientist

Chantilly, VA ยท On-site

$130K - $160K/yr

Responsibilities The Senior Data Science Analyst shall be able to demonstrate experience and expertise in the following: * Programming languages such as Python(inclusive of libraries that are used in ...

Sr. Director, Risk Adjustment (0778)

Washington, DC ยท On-site

$120 - $160/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Lead a team of data scientists, senior analysts, and program staff; set vision, define priorities ... Direct retrospective and prospective chart review programs; manage vendor relationships and ...

Leidos is seeking a Senior Data Scientist to provide technical leadership and advanced analytics ... Apply advanced data science techniques including exploratory data analysis, feature engineering ...

Senior Data Scientist

Chantilly, VA ยท On-site

$154K - $278K/yr

Leidos is seeking a Senior Data Scientist to provide technical leadership and advanced analytics ... Apply advanced data science techniques including exploratory data analysis, feature engineering ...

Advise senior leaders on priorities, balancing accuracy, speed, cost, and governance. * Support the ... Master's degree in Data Science, Economics, Mathematics, Statistics, Computer Science, or a related ...

Advise senior leaders on priorities, balancing accuracy, speed, cost, and governance. * Support the ... Master's degree in Data Science, Economics, Mathematics, Statistics, Computer Science, or a related ...

Advise senior leaders on priorities, balancing accuracy, speed, cost, and governance. * Support the ... Master's degree in Data Science, Economics, Mathematics, Statistics, Computer Science, or a related ...

Senior Data Scientist

Merrifield, VA ยท On-site

$154K - $278K/yr

  • Medical

  • Retirement

  • PTO

The Senior Data Scientist will lead complex analytics efforts across the full solution lifecycle ... Apply advanced data science techniques including exploratory data analysis, feature engineering ...

Senior Data Scientist

Chantilly, VA ยท On-site

$154K - $278K/yr

  • Medical

  • Retirement

  • PTO

The Senior Data Scientist will lead complex analytics efforts across the full solution lifecycle ... Apply advanced data science techniques including exploratory data analysis, feature engineering ...

Senior Data Scientist

Reston, VA ยท On-site

$154K - $278K/yr

  • Medical

  • Retirement

  • PTO

The Senior Data Scientist will lead complex analytics efforts across the full solution lifecycle ... Apply advanced data science techniques including exploratory data analysis, feature engineering ...

Senior Data Scientist

Chantilly, VA ยท On-site

$154K - $278K/yr

  • Medical

  • Retirement

  • PTO

The Senior Data Scientist will lead complex analytics efforts across the full solution lifecycle ... Apply advanced data science techniques including exploratory data analysis, feature engineering ...

Showing results 41-60

Senior Director Data Science information

See Springfield, VA salary details

$26.1K

$83.9K

$170.8K

How much do senior director data science jobs pay per year?

As of Aug 19, 2026, the average yearly pay for senior director data science in Springfield, VA is $83,862.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,300.00 and $107,600.00 per year, depending on experience, location, and employer.

What does a senior director of data science do?

A Senior Director of Data Science leads and oversees the data science strategy for an organization, managing teams of data scientists, analysts, and engineers. They are responsible for aligning data initiatives with business goals, guiding advanced analytics projects, and ensuring the effective use of data to drive decision-making. This role often involves collaborating with other executives to develop data-driven solutions, establishing best practices, and setting the vision for how data science supports organizational growth.

How does a senior director of data science typically collaborate with other departments within an organization?

A Senior Director of Data Science frequently partners with leaders from product, engineering, marketing, and business strategy to align data-driven insights with organizational goals. They facilitate cross-functional collaboration by translating complex analytics into actionable business recommendations, ensuring that data science initiatives support top-level priorities. This role often leads a team of data scientists while serving as a bridge between technical teams and non-technical stakeholders, fostering a culture of data-informed decision-making throughout the company.

What are the key skills and qualifications needed to thrive as a senior director data science, and why are they important?

To thrive as a Senior Director Data Science, you need deep expertise in advanced analytics, machine learning, statistical modeling, and a strong educational background in a quantitative field, often with a master's or PhD. Familiarity with data platforms (like AWS, Azure), programming languages (such as Python, R), and leadership in deploying enterprise-level data solutions is vital, along with experience managing large teams. Exceptional strategic thinking, communication, and stakeholder management skills set top candidates apart in this role. These abilities are crucial for driving data-driven business strategies, leading high-performing teams, and ensuring impactful outcomes at the organizational level.

What is the difference between Senior Director Data Science vs Data Science Manager?

AspectSenior Director Data ScienceData Science Manager
ResponsibilitiesOversees multiple teams, sets strategic vision, aligns data science initiatives with business goalsManages day-to-day operations of data science teams, executes projects, and ensures deliverables
Required CredentialsAdvanced degree (Master's/PhD), extensive experience, leadership skillsRelevant degree, experience in managing data projects, technical expertise
Work EnvironmentStrategic, cross-departmental, executive collaborationOperational, team-focused, project management

The Senior Director Data Science typically holds a higher strategic leadership role, overseeing multiple teams and aligning data initiatives with company goals. In contrast, a Data Science Manager focuses on managing teams and executing projects. Both roles require strong technical backgrounds, but the Senior Director emphasizes strategic vision and leadership across departments.

What job categories do people searching Senior Director Data Science jobs in Springfield, VA look for?

The top searched job categories for Senior Director Data Science jobs in Springfield, VA are:

What cities near Springfield, VA are hiring for Senior Director Data Science jobs?

Cities near Springfield, VA with the most Senior Director Data Science job openings:

Senior Data Scientist - Fulltime

Rootshell Enterprise Technologies, Inc.

Arlington, VA โ€ข On-site

Full-time

Re-posted 3 days ago


Job description

Position: Senior Data Scientist
Location: Arlington, VA (5 days on site)
Locals Preferred
Top 3 Skills:
8 years of data science experience Azure, Data Bricks, PySpark
Be able to communicate directly with business stakeholders
Job Description:
The Senior Data Scientist is responsible for developing and maintaining data analytics solutions and machine learning algorithms. As a senior role, the expectations are to mentor junior data scientists, further develop the data science lifecycle and best practices, and contribute to strategic discussions. The measures of an ideal candidate include communication skills, technical proficiency, collaboration, mentorship, strategic-thinking, and willingness to learn new things. This new position will be based in our Arlington, VA headquarters and report to the Director of Business Intelligence. This position is structured within IT under the Vice President of Applications.
The position will be located in Arlington, VA.
Key Responsibilities and Essential Duties:
  • Develop solutions to business problems using the data science life cycle.
  • Develop and maintain data analytics solutions and machine learning algorithms
  • Develop comprehensive project plans for implementing data science projects including solution architectures, resourcing, and dependencies.
  • Use predictive modeling and classification techniques to improve LNG production efficiency and mitigate safety or downtime risks.
  • Mine and analyze data from a data lake or data warehouse to drive optimization.
  • Work with stakeholders to identify opportunities to leverage data science to drive business solutions.
  • Understand where key decisions are needed and communicate options for solving business problems with stakeholders.
  • Provide ETL requirements to data engineers to effectively curate files for data analytics.
  • Document data science algorithms for maintainability.
  • Work with IT leadership to further define the data science life cycle and enhance the data science technology stack and architecture.
  • Design data architecture for future platform growth including data warehousing, machine learning, streaming analytics, and data visualization.
  • Assist in testing, governance, data quality, training, and documentation efforts.
  • Mentor junior data scientists and data analysts.
  • Actively engage in business stakeholder requirement workshops to understand, interpret, and translate requirements into effective technical solutions.

Job Qualifications
  • 8+ Years of practical data science/data analytics experience.
  • Bachelor's degree in computer science, Data Analytics, Engineering, Mathematics, Business, or related field of study.
  • Knowledge in cloud data analytics solutions, managing, developing, and maintaining machine learning solutions.
  • Fundamental skills in data processing languages such as SQL, Python, or Scala.
  • Knowledge in building data science solutions using cloud data services.
  • Ability to self-manage and make your own decisions.
  • Strong presentation skills to effectively communicate results of analytics to stakeholders.
  • Strong documentations skills.
  • Excellent interpersonal and communications skills, with strong critical thinking and attention to detail.
  • Strong work ethic with ability to effectively prioritize, meet deadlines, adapt to changing priorities and business needs, and succeed in a fast-paced environment.
  • Excellent attention to detail and the ability to efficiently summarize and prioritize information.
  • Preferred Qualifications
  • Experience with Azure infrastructure especially Azure Data Lake and Azure Data Factory.
  • Experience using Databricks for machine learning algorithm development
  • Experience in coding languages primarily PySpark, Python,and SQL.
  • Experience in agile development and sprint planning.
  • Experience utilizing DevOps
  • Experience working with streaming datasets/IoT.
  • Strong technical writing skills.