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Data Science Major Jobs in Washington, DC (NOW HIRING)

This role provides technical and management leadership on major advanced data science assignments, developing advanced algorithms, models, and frameworks using machine learning, deep learning ...

... science research, develop tools for insights in experimental data, and communicate findings to support major organizations. Responsibilities : • Conduct data science research to push our ...

Data Scientist

Washington, DC · On-site +1

$121K - $158K/yr

Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is ...

In this role, you will apply data science and machine learning to analyze complex financial transaction data for a major federal intelligence and law enforcement bureau. Your analytical models will ...

Data Scientist

Washington, DC · On-site

$140 - $190/hr

In this role, you will apply data science and machine learning to analyze complex financial transaction data for a major federal intelligence and law enforcement bureau. Your analytical models will ...

Data Scientist, Lead

Washington, DC · On-site

$142K - $228K/yr

The successful candidate should be skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and Tableau; major data science languages, such as R and ...

Data Scientist, Lead

Washington, DC · On-site

$120 - $190/hr

The successful candidate should be skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and Tableau; major data science languages, such as R and ...

The successful candidate should be skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and Tableau; major data science languages, such as R and ...

Data Scientist

Hyattsville, MD · On-site

$69K - $125K/yr

Come support a major program advancing the state of the art in mission-focused big data and predictive analytics. You will be delivering cutting edge data science capabilities to advance national ...

Come support a major program advancing the state of the art in mission-focused big data and predictive analytics. You will be delivering cutting edge data science capabilities to advance national ...

Data Scientist

Arlington, VA · On-site

$69K - $125K/yr

Come support a major program advancing the state of the art in mission-focused big data and predictive analytics. You will be delivering cutting edge data science capabilities to advance national ...

Data Scientist

Bethesda, MD · On-site

$69K - $125K/yr

Come support a major program advancing the state of the art in mission-focused big data and predictive analytics. You will be delivering cutting edge data science capabilities to advance national ...

Data Scientist

Takoma Park, MD · On-site

$69K - $125K/yr

Come support a major program advancing the state of the art in mission-focused big data and predictive analytics. You will be delivering cutting edge data science capabilities to advance national ...

Data Scientist

Glen Echo, MD · On-site

$69K - $125K/yr

Come support a major program advancing the state of the art in mission-focused big data and predictive analytics. You will be delivering cutting edge data science capabilities to advance national ...

Data Scientist

Washington, DC · On-site

$69K - $125K/yr

Come support a major program advancing the state of the art in mission-focused big data and predictive analytics. You will be delivering cutting edge data science capabilities to advance national ...

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Showing results 1-20

Data Science Major information

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

To thrive as a Data Science Major, you need a solid understanding of mathematics, statistics, and programming languages such as Python or R, typically backed by coursework or a related degree. Familiarity with data analysis tools, machine learning libraries, and platforms like SQL, TensorFlow, or Jupyter Notebook is also important. Critical thinking, effective communication, and problem-solving skills help you interpret data insights and collaborate on projects. These competencies enable you to extract meaningful information from data, drive decision-making, and succeed in a data-driven environment.

What is a data science major?

A Data Science major is an academic program that focuses on teaching students how to collect, analyze, and interpret large sets of data to solve real-world problems. It combines coursework in statistics, computer science, mathematics, and domain-specific knowledge to prepare graduates for roles in various industries such as technology, healthcare, finance, and more. Students learn programming languages like Python or R, machine learning techniques, and data visualization skills. The major often includes hands-on projects and internships to provide practical experience in analyzing and extracting insights from data.

What types of projects or problems do data science majors typically work on during internships or entry-level roles?

Data Science majors in internships or entry-level positions often collaborate on projects involving data cleaning, exploratory data analysis, and building predictive models. They might work with real-world datasets to identify trends, automate reporting, or support business decision-making with data-driven insights. These roles typically require teamwork with software engineers, business analysts, and domain experts, offering valuable opportunities to apply classroom knowledge to practical challenges and to develop skills in popular tools like Python, R, and SQL.

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

AspectData Science MajorData Analyst
Required CredentialsDegree in Data Science, Computer Science, or related fieldsDegree in Statistics, Mathematics, or related fields
Work EnvironmentResearch, development, and complex data modelingData interpretation, reporting, and visualization
Industry UsageTech companies, finance, healthcare, academiaBusiness, marketing, finance, healthcare
Common Search/ComparisonData Science Major vs Data Analyst

While both roles involve working with data, a Data Science Major typically prepares individuals for complex data modeling, machine learning, and research tasks. In contrast, a Data Analyst focuses on interpreting data, creating reports, and visualizations to support business decisions. The roles often overlap, but the Data Science Major emphasizes advanced analytics and programming skills, whereas Data Analysts concentrate on data interpretation and communication.

What are popular job titles related to Data Science Major jobs in Washington, DC?

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

What job categories do people searching Data Science Major jobs in Washington, DC look for?

The top searched job categories for Data Science Major jobs in Washington, DC are:

Infographic showing various Data Science Major job openings in Washington, DC as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.

Lead Data Scientist

InstantServe LLC

Suitland, MD • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Job Summary:
We are seeking a Subject Matter Expert (SME)-level Lead Data Scientist to leverage cutting-edge techniques to extract insights and patterns from large and complex datasets for the U.S. Census Bureau's Decennial Transformation and Application Modernization (DTAM) effort. This role provides technical and management leadership on major advanced data science assignments, developing advanced algorithms, models, and frameworks using machine learning, deep learning, natural language processing, and generative AI / large language models. The Lead Data Scientist ensures AI/ML products are safe, trustworthy, explainable, and compliant with the NIST AI Framework and Census Bureau policies. Decision-making and domain knowledge may have a critical impact on overall program implementation. May supervise others.
Responsibilities:
  • Develop advanced algorithms, models, and frameworks leveraging machine learning, deep learning, neural networks, natural language processing, and generative AI / large language models (LLMs)
  • Manage all activities to align with current advanced analytics and data science standards as defined by Decennial, the USCB, and industry best practices
  • Support the transition of advanced analytics and data science capabilities from pilot to production and maintain them in the production environment
  • Develop descriptive and predictive models for survey efforts, including time series, anomaly detection, semi-supervised, active, and reinforcement learning frameworks
  • Conduct data cleaning, filtering, transformation, and feature engineering to create machine-learning-ready datasets
  • Create, maintain, and use synthetic data to support the full lifecycle of advanced data science
  • Follow AI regulation and ethical principles in accordance with the NIST AI Framework to manage AI risk and ensure model trustworthiness
  • Ensure AI products are safe, secure, explainable, interpretable, privacy-enhanced, fair, valid, reliable, accountable, and transparent
  • Develop, document, and test prototypes and proofs-of-concept leveraging advanced data science
  • Evaluate trained models with multiple performance metrics, appropriate test sets, and learning curves
  • Develop and maintain data science documentation, including analysis plans, technical reports, user manuals, and best-practice templates

Education and Experience
  • PhD in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field - mandatory
  • 15+ years of experience providing technical and management leadership on major data science assignments (SME level)

Required Skills
  • Expert proficiency in Python, R, SAS, and SQL and associated data science libraries and tools
  • Demonstrated experience developing and operationalizing ML, deep learning, NLP, and generative AI / LLM models
  • Strong background in predictive modeling, time series analysis, anomaly detection, and feature engineering
  • Experience creating and using synthetic data and privacy-preserving data techniques
  • Working knowledge of the NIST AI Framework and responsible/ethical AI practices

Desired Skills:
  • Experience transitioning data science capabilities from pilot to production (MLOps / LLMOps)
  • Familiarity with differential privacy, federated learning, and secure multi-party computation
  • Experience with large-scale federal statistical or survey data programs
  • Excellent written and verbal communication skills, including manuscript preparation and executive briefing to senior Government stakeholders

InstantServe logo

About InstantServe

Sourced by ZipRecruiter

InstantServe provides a one-stop solution to all Healthcare, IT/Non-IT Staffing needs. Established in 2016, InstantServe is a strong workforce of over 100+ go-getters with a demonstrated background in IT/Non-IT service. We are a nationally certified SBE from the Department of Administration (State of PA). As a proud Minority Woman Owned Small Business Enterprise (M/WBE), InstantServe boasts of a strong team of professionals who have extensive experience catering to several Federal, Public, Commercial, and Healthcare Clients which includes 26 States and 46 government agencies. InstantServe is a client-centric organization that offers cost-effective and reliable solutions. Client satisfaction is sacrosanct! Our team strives to provide the best staffing and IT solutions to take your business to the next level.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Wayne, PA, US

Year founded

2016

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