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Data Science Associate Jobs in Washington (NOW HIRING)

Senior Data Analyst

Quantico, VA ยท On-site

$91K - $114K/yr

EMC Data Science Associate (EMCDSA) * Cloudera Certified Data Scientist (CCDH) / Certified Cloud Professional (CCP) * Certified Apache Hadoop Developer (HCAHD) / Cloudera Certified Administrator for ...

Senior Data Analyst

Quantico, VA

$91K - $114K/yr

EMC Data Science Associate (EMCDSA) * Cloudera Certified Data Scientist (CCDH) / Certified Cloud Professional (CCP) * Certified Apache Hadoop Developer (HCAHD) / Cloudera Certified Administrator for ...

Relevant industry certifications desired such as CompTIA Cloud Essentials/Microsoft Technical Associate (MTA)/Certificate of Cloud Security (CCSK)/CompTIA A+/CompTIA Security+/EMC Data Science ...

Data Scientist

Mclean, VA

$125K - $160K/yr

Stay current with modern data science methodologies, ML techniques, data processing tools, and ... Databricks Data Scientist Associate, AWS ML Specialty, Azure Data Scientist Associate, Google ...

Data Scientist

Mclean, VA ยท On-site

$125K - $160K/yr

Stay current with modern data science methodologies, ML techniques, data processing tools, and ... Databricks Data Scientist Associate, AWS ML Specialty, Azure Data Scientist Associate, Google ...

The Director, Data Science will lead efforts across personalization, recommendation systems, and ... That's why we hire associates with the intellectual curiosity, energy and drive to want to make a ...

The Director, Data Science will lead efforts across personalization, recommendation systems, and ... That's why we hire associates with the intellectual curiosity, energy and drive to want to make a ...

Associate Director of Data Science

Columbia, MD ยท On-site

$58K - $59K/yr

In this pivotal role, you will lead our data science initiatives, driving innovation and delivering data-driven insights to support strategic decision-making across the organization. * Lead the ...

Associate Director of Data Science

Columbia, MD ยท On-site +1

$58K - $59K/yr

In this pivotal role, you will lead our data science initiatives, driving innovation and delivering data-driven insights to support strategic decision-making across the organization. * Lead the ...

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Showing results 1-20

Data Science Associate information

See Washington salary details

$65.1K

$77.1K

$146.1K

How much do data science associate jobs pay per year?

As of Jun 8, 2026, the average yearly pay for data science associate in Washington is $77,061.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,800.00 and $67,400.00 per year, depending on experience, location, and employer.

How does a Data Science Associate typically collaborate with other departments or teams within an organization?

Data Science Associates frequently work cross-functionally, partnering with teams such as engineering, product management, and business analytics to understand project requirements, share findings, and implement data-driven solutions. Collaboration often involves translating complex data results into actionable insights for non-technical stakeholders, ensuring alignment on project goals and deliverables. This role requires strong communication skills, as associates routinely participate in meetings, present analyses, and gather feedback to refine their models or analyses. Effective teamwork helps ensure that data science initiatives support broader business objectives.

Is data science dead in 10 years?

Data Science Associate roles are expected to remain relevant in the next decade as organizations continue to rely on data-driven decision making. Advances in automation and AI may change some tasks, but skills in statistical analysis, programming, and machine learning will still be valuable for interpreting complex data. Continuous learning and adapting to new tools like Python, R, and cloud platforms will be important for future success in the field.

What are Data Science Associates?

Data Science Associates are early-career professionals who support data-driven projects by collecting, cleaning, analyzing, and interpreting large datasets. They typically work under the guidance of more experienced data scientists and help build predictive models, generate reports, and provide insights to inform business decisions. This role often requires proficiency in programming languages like Python or R, familiarity with statistical methods, and strong problem-solving skills. Data Science Associates play a crucial part in transforming raw data into actionable information for organizations.

What are the key skills and qualifications needed to thrive as a Data Science Associate, and why are they important?

To thrive as a Data Science Associate, you need strong analytical skills, a solid foundation in statistics and mathematics, and proficiency in programming languages like Python or R, often supported by a degree in data science, computer science, or a related field. Familiarity with machine learning frameworks, data visualization tools, and database systems such as SQL is typically required. Excellent problem-solving abilities, effective communication, and collaboration skills help you translate complex data insights into actionable business strategies. These skills are vital for extracting meaningful value from data and supporting data-driven decision-making within organizations.

What is the difference between Data Science Associate vs Data Analyst?

AspectData Science AssociateData Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Statistics, Mathematics, or related field; often no advanced certifications required
Work EnvironmentCollaborates with data scientists and engineers; involved in building models and algorithmsFocuses on data collection, cleaning, and reporting; supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms for data-driven projectsCommon across various industries for business insights and reporting

The Data Science Associate role typically involves more technical work like building models and applying machine learning, whereas Data Analysts focus on interpreting data and creating reports. Both roles require strong analytical skills, but Data Science Associates often have a deeper understanding of programming and statistical modeling.

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 Data Science Associate jobs in Washington? For Data Science Associate jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Data Science Associate jobs in Washington look for? The top searched job categories for Data Science Associate jobs in Washington are:
What cities in Washington are hiring for Data Science Associate jobs? Cities in Washington with the most Data Science Associate job openings:
Infographic showing various Data Science Associate job openings in Washington as of May 2026, with employment types broken down into 1% As Needed, 86% Full Time, 11% Part Time, 1% Temporary, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $77,061 per year, or $37 per hour.
Applied Data Science Associate - Federal

Applied Data Science Associate - Federal

DataRobot

Washington, DC โ€ข Hybrid

$66K - $67K/yr

Full-time

Medical, Dental, Vision

Posted 12 days ago


Job description

Job Description:

DataRobot delivers AI that maximizes impact and minimizes business risk. Our platform and applications integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business - today and in the future.

DataRobot's Applied Data Science Associate program (ADSA) is designed to provide qualified individuals with the training and experience necessary to become a Customer Facing Data Scientist in approximately 6 months. This intense program is for the self-motivated and intellectually curious excited to tackle our prospects and customers toughest problems using AI/ML and GenAI. The program will offer you opportunities to learn from the world's foremost experts in AI and apply your new found knowledge in the frontier of AI. Past graduates of this program have delivered novel applications of AI in businesses across the world and lead some of our most strategic customer engagements. Many graduates of the program now have leadership positions within DataRobot.

During the training program, participants will have structured learning paired with mentoring opportunities to work with customer success teams. Participants will be expected to contribute to customer success by assisting account teams and learning the best practices in selling to customers or keeping existing customers successful with the platform.

The ADSA program is centered around the Data Scientist Competencies. These are the competencies that must be developed and mastered to become a successful Data Scientist. There are 4 core competencies: Data Science (including GenAI), Product Knowledge, Sales and Solution Delivery.

This position is focused on supporting DataRobot's US Federal customer base, especially military customers, in a wide variety of AI use cases.

Upon program completion you will support DataRobot Federal customers as a Customer Facing Data Scientist contributing to end-to-end AI project implementation using the DataRobot platform. This will include data preparation, model building (predictive and generative), application development, and stakeholder engagement.

Key Responsibilities:

  • Successfully conduct a 6 month structured and independent training program in order to independently support customer engagements after completion

  • Provide DataRobot platform and data science support to clients through the duration of client engagement from presales through their times as a customer

  • Enable customers to solve complex data science problems using DataRobot, through both direct execution and education of customers - including problem framing, data preparation, scripting, model building, model deployment, model management, and output consumption

  • Foster an environment of autonomy where everyone is encouraged to identify and prioritize customer problems and opportunities.

  • Influence our customers through thought leadership by using value-based messaging to translate complex technical terms into mission outcomes

  • Work side by side with our sales, success and engineering teams to help our customers achieve their goals.

  • Identify opportunities to expand our relationship with customers.

  • Act internally as the voice of the customer to the Product, and Engineering, informing the direction of future product feature development

  • Assist in developing the implementation of a Joint Success Plan (JSP) delivering services to support customers in their AI journey.

Knowledge, Skills & Abilities:

  • Bachelor's degree in a technical field - physical sciences, engineering, computer science, statistics, economics or business analytics

  • 3+ years of building and implementing analytics solutions for stakeholders

  • You have excellent communication and strong customer interaction skills

  • Excellent project management and organizational abilities

  • Fluency with scripting in Python

  • Professional experience building data pipelines and/or performing data preparation tasks

  • Work location will be a hybrid of remote and on a customer site (greater Washington DC area)

  • You may be asked to travel for customer meetings or other events

Nice to have:

  • Advanced degree

  • Experience with supporting US Federal government organizations, especially the DoD or IC

  • Experience with distributed/parallelized data computation

  • Experience with geospatial data manipulation and visualization

  • Exposure to AI/ML modeling techniques and framing data science projects for success

  • Familiarity with consultative sales process in the data/analytics marketplace

  • Familiarity with data platform technology integrations

  • Experience dealing with complex customer organizations

  • Proficiency in additional programming languages (e.g. Java, Scala, JavaScript)

Citizenship and Clearance Requirements:

  • Must be a US citizen.

  • Must have an active Secret or Top Secret/SCI clearance

Compensation Statement

The U.S. annual on-target earnings (OTE) range for this full-time position is between $95,000 and $104,000 USD/year. This range represents a combination of annual base pay and targeted commission. Actual offers may be higher or lower than this range based on various factors, including (but not limited to) the candidate's work location, job-related skills, experience, and education.

The talent and dedication of our employees are at the core of DataRobot's journey to be an iconic company. We strive to attract and retain the best talent by providing competitive pay and benefits with our employees' well-being at the core. Here's what your benefits package may include depending on your location and local legal requirements: Medical, Dental & Vision Insurance, Flexible Time Off Program, Paid Holidays, Paid Parental Leave, Global Employee Assistance Program (EAP) and more!

DataRobot Operating Principles:

  • Wow Our Customers
  • Set High Standards
  • Be Better Than Yesterday
  • Be Rigorous
  • Assume Positive Intent
  • Have the Tough Conversations
  • Be Better Together
  • Debate, Decide, Commit
  • Deliver Results
  • Overcommunicate

All DataRobot hires are required to complete a background check prior to starting employment, which includes identity verification, criminal history check, employment verification and education verification. Additionally, all DataRobot employees must be available to attend in-person company trainings and meetings.


Research shows that many women only apply to jobs when they meet 100% of the qualifications while many men apply to jobs when they meet 60%. At DataRobot we encourage ALL candidates, especially women, people of color, LGBTQ+ identifying people, differently abled, and other people from marginalized groups to apply to our jobs, even if you do not check every box. We'd love to have a conversation with you and see if you might be a great fit.

DataRobot is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. DataRobot is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. Please see the United States Department of Labor's EEO poster and EEO poster supplement for additional information.

All applicant data submitted is handled in accordance with our Applicant Privacy Policy.