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Data Science Associate Jobs in Washington (NOW HIRING)

Senior Data Analyst

Quantico, VA · 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 ...

ORA_HYBRID Description SAIC is looking for a Data Scientist Associate to help the Identity and Data ... A bachelor's degree in computer science, data science, or a comparative quantitative science or ...

ORA_HYBRID Description SAIC is looking for a Data Scientist Associate to help the Identity and Data ... A bachelor's degree in computer science, data science, or a comparative quantitative science or ...

Description SAIC is looking for a Data Scientist Associate to help the Identity and Data Sciences ... A bachelor's degree in computer science, data science, or a comparative quantitative science or ...

Data Scientist

Mclean, VA · 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 ...

Data Scientist

Mclean, VA · 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 ...

Data Scientist

Mclean, VA · 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 ...

Data Scientist

Mclean, VA · 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 ...

Data Scientist

Mclean, VA · 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 ...

Data Scientist

Mclean, VA · 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 ...

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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 29, 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 40 too late for data science?

Data Science Associates and other data science roles do not have an age limit; individuals can enter the field at any age. Success depends on acquiring relevant skills such as programming, statistics, and data analysis, which can be learned through online courses, bootcamps, or formal education. Many professionals transition into data science later in their careers and find opportunities based on their experience and skill development.

What can you do with an associate in data science?

A Data Science Associate can analyze data, develop models, and generate insights to support decision-making within organizations. They often work with tools like Python, R, and SQL, and may assist in data cleaning, visualization, and reporting. This role typically requires foundational knowledge of statistics and machine learning techniques.

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 is the work of an associate data scientist?

An associate data scientist analyzes data to identify trends and patterns, develops models using programming languages like Python or R, and supports data-driven decision-making. They often work under supervision to clean data, build algorithms, and communicate findings to teams.

Which is better, DS or CS?

For a Data Science Associate role, both Data Science (DS) and Computer Science (CS) provide valuable skills; DS focuses on data analysis, modeling, and visualization, while CS emphasizes programming, algorithms, and software development. The choice depends on the specific job requirements and your career goals, but proficiency in programming languages like Python or R and understanding of data tools are essential in both fields.
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 June 2026, with employment types broken down into 1% As Needed, 73% Full Time, 19% Part Time, and 7% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $77,061 per year, or $37 per hour.
Data Scientist Associate

$58K - $59K/yr

Full-time

Posted 21 days ago


Key responsibilities

  • Contribute to data acquisition, management, and processing tasks by building efficient data pipelines.

  • Develop analytic products tailored to mission user requirements using available infrastructure.

  • Work with senior team members to organize, clean, migrate, and process datasets with advanced computer vision algorithms.


SAIC rating

7.9

Company rating: 7.9 out of 10

Based on 79 frontline employees who took The Breakroom Quiz

66th of 206 rated it services


Job description


SAIC is looking for a Data Scientist Associate to help the Identity and Data Sciences Laboratory (IDSL) which is tasked with identifying state-of-the-art technologies including facial recognition and AI, evaluating performance, and examining their applicability to existing or emerging customer use cases. The IDSL has a cutting-edge infrastructure consisting of both on-prem distributed computing clusters and cloud based analytic environments, which we use for gathering and processing multi-modal data in real-time from large-scale experiments conducted at our test facility (Maryland Test Facility; http://mdtf.org), in field locations, as well as from external data sources.
Hybrid - 3 Days in Office / 2 Days Remote
What You Will Be Doing:
  • Contribute to data acquisition, management, and processing tasks, working with senior data scientists, software engineers and evaluation designers to build efficient data pipelines
  • Access available infrastructure, and to develop analytic products tailored to mission user requirements
  • Work with senior team members to organize, clean, migrate and process datasets with advanced computer vision algorithms
  • Testing different LLMs

Qualifications
Requirements:
  • A bachelor's degree in computer science, data science, or a comparative quantitative science or scheduled to obtain one by spring or summer 2026
  • Ability to obtain and maintain a public trust requiring US Citizenship
  • Proficient in programming a must (Python, C++, Golang, Java, etc.)
  • Ability to build out data pipelines as this will be the main function of role
  • Desire to learn GoLang
  • Familiar with machine learning, data mining, and/or statistics (R, Python, etc.)
  • Familiar with source control (e.g., Git)
  • Familiar with common data formats (JSON, Parquet, XML, etc.)
  • Familiar with database technologies (SQL, NoSQL)
  • Strong communication skills, with the ability to present findings and recommendations to both technical and non-technical audience

Desired Skills:
  • Prior experience related to data engineering, data science, data architecture, and databases
  • Understanding of scaling and performance of distributed/cloud systems (AWS)
  • Understanding of data science concepts, AI/ML, automation, and scripting
  • Experience with techniques and platforms to manage, manipulate, and draw insight from large datasets (Spark, Hadoop, Databricks, etc.)

About Us
SAIC® is a premier mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, intelligence, and civilian markets includes secure high-end solutions in mission IT, enterprise IT, engineering services, and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives.
We are approximately 23,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.3 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.

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