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Data Science Assistant Jobs in Washington (NOW HIRING)

Maximus

Data Science Manager

VA · On-site +1

... - Assist with special projects, trend analysis, and problem-solving. Provide support to ... Data Science as a Service. - Work with reporting and business analyst to interpret/translate ...

Booz Allen Hamilton, Inc.

Data Science Engineer

Mclean, VA · On-site

$77K - $176K/yr

As a Data Science Engineer, you'll help build advanced technology solutions and implement data ... As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with ...

Booz Allen Hamilton, Inc.

Data Science Engineer

Mclean, VA · On-site

$77K - $176K/yr

Data Science Engineer The Opportunity: As a Data Science Engineer, you'll help build advanced ... As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with ...

Booz Allen Hamilton

Data Science Engineer

Mclean, VA

$77K - $176K/yr

R0240303 Data Science Engineer The Opportunity: As a Data Science Engineer, you'll help build ... As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with ...

Booz Allen Hamilton

Data Science Engineer

Mclean, VA · On-site

$77K - $176K/yr

Data Science Engineer The Opportunity: As a Data Science Engineer, you'll help build advanced ... As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with ...

VTG

Data Scientist

Chantilly, VA · On-site

Participate in analytic working groups and technical discussions * Assist with maintaining data ... Bachelor's Degree in Data Science, Statistics, Mathematics, Computer Science, or related field

VTG

Data Scientist

Chantilly, VA

May assist with the selection of appropriate analytical approaches towards automation. Reviews and defines requirements for data science cybersecurity approaches. Tools used to include the following ...

VTG

Data Scientist

Chantilly, VA · On-site

May assist with the selection of appropriate analytical approaches towards automation. Reviews and defines requirements for data science cybersecurity approaches. Tools used to include the following ...

VTG

Data Scientist

Chantilly, VA · On-site

Participate in analytic working groups and technical discussions * Assist with maintaining data ... Bachelor's Degree in Data Science, Statistics, Mathematics, Computer Science, or related field

Axle

Data Science Fellow - AI/NLP

Rockville, MD · On-site

... and data science applications to research centers and healthcare organizations nationally and ... Dependent Care Assistant Program (DCAP) * Transportation Reimbursement Account (TRN) We are seeking ...

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Data Science Assistant information

What are Data Science Assistants?

Data Science Assistants are professionals who support data scientists and analytics teams by handling tasks such as data collection, data cleaning, preparing datasets, conducting preliminary analyses, and creating visualizations. They often work with large datasets, assist in maintaining data integrity, and help automate routine processes. Their role allows data scientists to focus on more complex modeling and analytical work, making the overall workflow more efficient. Data Science Assistants typically have a foundational understanding of statistics, programming (such as Python or R), and data management tools.

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

To thrive as a Data Science Assistant, you need a solid understanding of statistics, data analysis, and programming (often with a background in mathematics, computer science, or a related field). Familiarity with tools like Python or R, data visualization software, and experience with databases or spreadsheet systems are typically required. Attention to detail, strong problem-solving abilities, and effective communication set outstanding candidates apart. These skills are crucial for supporting data-driven decision-making and ensuring accurate, actionable insights for organizations.

Is 40 too late for data science?

Data science assistants can enter the field at any age, as success depends on skills, experience, and continuous learning. Many professionals transition into data science later in their careers by acquiring relevant knowledge in programming, statistics, and tools like Python or R. Age is not a barrier if you develop the necessary competencies and stay current with industry trends.

How does a Data Science Assistant typically collaborate with data scientists and other team members on projects?

As a Data Science Assistant, you will frequently support data scientists by preparing datasets, conducting preliminary data analysis, and creating visualizations. You will often work closely with analysts, engineers, and subject matter experts to gather requirements and ensure data is cleaned and formatted appropriately. Collaboration is a key part of the role, as you may participate in team meetings, share findings, and help with documentation to keep projects running smoothly. This supportive environment provides an excellent opportunity to learn from experienced professionals and gain exposure to the full data science workflow.

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

AspectData Science AssistantData Analyst
Required CredentialsBachelor's in Data Science, Statistics, or related fieldBachelor's in Statistics, Mathematics, or related field
Work EnvironmentTech companies, research labs, data-driven departmentsBusiness, finance, marketing, healthcare sectors
Employer & Industry UsageUsed in data science teams for supporting models and analysisUsed across industries for interpreting data and generating reports

While both roles involve working with data, a Data Science Assistant typically supports data science projects, focusing on data preparation and model testing. A Data Analyst primarily interprets data to generate insights and reports. The roles overlap in skills and work environments but differ in their core responsibilities and focus areas.

What is a data scientist assistant?

A data scientist assistant supports data scientists by collecting, cleaning, and analyzing data, often using tools like Python or R. They help prepare reports, build models, and may need knowledge of statistics and data visualization to contribute effectively to data projects.

Is AI replacing data scientists?

AI is transforming the role of data scientists by automating routine tasks such as data cleaning and basic analysis, but it does not replace the need for skilled professionals to interpret results, develop models, and make strategic decisions. Data scientists are increasingly required to work alongside AI tools, focusing on complex problem-solving, model development, and domain expertise. Continuous learning and proficiency in programming languages like Python and tools such as machine learning frameworks remain essential for the role.

Which is better, DS or CS?

For a Data Science Assistant role, both Data Science (DS) and Computer Science (CS) provide valuable skills; DS focuses on data analysis, modeling, and visualization, while CS emphasizes algorithms, programming, and software development. The choice depends on the specific job requirements and your career goals, but familiarity with 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 Assistant jobs in Washington? For Data Science Assistant jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Data Science Assistant jobs in Washington look for? The top searched job categories for Data Science Assistant jobs in Washington are:
What cities in Washington are hiring for Data Science Assistant jobs? Cities in Washington with the most Data Science Assistant job openings:
Data Science Assistant jobs near you
Infographic showing various Data Science Assistant job openings in Washington as of June 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, 1% Temporary, and 1% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution.
Director of Data Science

Director of Data Science

Redhorse Corporation

Arlington, VA

Full-time

Posted 17 days ago

Job description

Director of Data Science
About the Organization
Now is a great time to join Redhorse Corporation. Redhorse specializes in developing and implementing creative strategies and solutions with private, state, and federal customers in the areas of cultural and environmental resources services, climate and energy change, information technology, and intelligence services. We are hiring creative, motivated, and talented people with a passion for doing what's right, what's smart, and what works.
Positions Description
Redhorse Corporation is seeking to hire a Director for our growing Data Science team. The ideal candidate must be able to lead, manage and develop a multi-disciplinary data science team and collaborates with customer stakeholders, business leaders, design teams and infrastructure and software engineers to develop solutions using various types of Artificial Intelligence, including Natural Language Processing and Machine Learning, to enable data-driven decisions, predictions (will happen) and prescriptions (should do). The Director advises corporate leadership on Data Science strategy, methodology, tools, techniques and mission alignment including collaboration with the Director of Solutions Design to create practical methods to understand customer preferences as well as work closely with cross-functional groups to comprehend these challenges, prototype new ideas and new technologies, and help create solutions to drive the next wave of innovation.
The Director of Data Science will:
  • Provide Data Science as a service to internal (corporate) and external customers.
  • Consult with potential customers and corporate business executives, capture leaders, and program managers to help identify, qualify, capture and execute data science projects.
  • Mentor, train and manage the work of corporate data scientists; informally mentor and advise data scientists dedicated to customer engagements, and manage the Data Science community of practice.
  • Work in partnership with software and infrastructure engineers to design and manage Data Science and DevOps pipelines and related corporate standards and to drive rapid prototyping and delivery of features using continuous integration and deployment.
  • Perform or assist in various project management tasks relating to the Data Science portfolio.
Minimum basic requirements for the Director of Data Science include:
  • Master’s Degree in Data Science or related field
  • 5+ years of experience in data procurement, processing and manipulation, transformation, and mathematical and statistical analysis
  • 5+ years of experience building executive level visualizations using industry standard tools like Tableau and ArcGIS
  • 5+ years of experience with using Relational, NoSQL, and graph databases such as MySQL, MongoDB, and Neo4j to store, update, and query large volumes of information
  • 2 years of experience leading complex data science projects from conception to execution
  • 2 years of experience building, mentoring and managing teams of data scientists
  • Experience with Natural Language Understanding to provide basic insights into unstructured and semi-structured datasets
  • Ability to create conceptual models, such as Type Systems, to define main concepts or entity types along with their respective relations within a corpus of knowledge
  • Experience with software configuration management, methods, and tools including GitHub or Jira
  • Familiarity with at least two of the following: Python, JavaScript, PHP, VBScript, Matlab, HTML/CSS or SQL
Preferred Requirements:
  • Ability to lead development efforts utilizing DevOps and Agile Methodologies
  • Basic understanding of how to integrate with Cloud-based services such as AWS, IBM (BlueMix/Cloud), and Azure
  • Experience with data ingestion from a variety of sources, leveraging standards-based interfaces such as SOAP/REST web services
  • Familiarity with metadata extraction technologies such as GROBID and Apache Tika
  • Familiarity with data structures, algorithms, and modular application design
  • Experience with solutions for full–text search, hit highlighting, and faceted search, including SOLR or ElasticSearch
  • Ability to learn technical concepts quickly and communicate with multiple functional groups
The work environment for this position requires an individual to be able to:
  • Work sitting or standing at a desk or conference table for extended periods of time with the ability to shift positions while working: sit, stand, pace, adjust positioning in any of those without issue
  • Walk in the office to collaborate with co-workers, attend meetings or retrieve documents from printer
  • Ability to carry up to 10 pounds
Executive Order Requirement:
In accordance with Executive Order 14042 as a Federal Contractor Redhorse requires all U.S. new hires to be fully vaccinated for COVID-19 by December 8, 2021 or prior to the first date of employment, whichever is later. As required by the Executive Order, Redhorse will work in coordination with applicable contract agencies to consider requests for Reasonable Accommodations.
Redhorse Corporation shall, in its discretion, modify or adjust the position to meet Redhorse’s changing needs.
This job description is not a contract and may be adjusted as deemed appropriate in Redhorse’s sole discretion.
EOE/M/F/Vet/Disabled

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