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Data Science Major Jobs in Washington (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 ...

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 ...

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 ...

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 ...

Active TS/SCI clearance with active CI poly conducted within the past seven years. • 3+ years of experience with major data science languages, such as Python and R. • 3+ years of experience ...

Skill in major data science languages, including R and Python, and in managing and merging disparate data sources through R, Python, or SQL * Proficiency in data visualization tools including Power ...

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 - Mid

Washington, DC · On-site

$120K - $160K/yr

Skill in major data science languages, including R and Python, and in managing and merging disparate data sources through R, Python, or SQL * Proficiency in data visualization tools including Power ...

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

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

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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 jobs can you do with data science?

Data science majors can pursue roles such as data analyst, data scientist, machine learning engineer, business intelligence analyst, and data engineer. These positions typically require skills in programming, statistical analysis, and data visualization tools like Python, R, SQL, and Tableau, often with relevant certifications or advanced degrees.

Is data science a good major?

Data science is a strong major for those interested in careers involving data analysis, machine learning, and statistical modeling. It prepares students with skills in programming, data manipulation, and tools like Python and R, which are highly valued in many industries. Graduates often find opportunities in technology, finance, healthcare, and consulting sectors.

What kind of jobs can I get with a data science degree?

A data science degree prepares individuals for roles such as data scientist, data analyst, machine learning engineer, and business intelligence analyst. These jobs typically require skills in programming languages like Python or R, statistical analysis, and data visualization tools, often within technology, finance, healthcare, or marketing industries.

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 the careers in data science?

Careers in data science include roles such as data scientist, data analyst, machine learning engineer, and data engineer. These positions involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.
What are popular job titles related to Data Science Major jobs in Washington? For Data Science Major jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Data Science Major jobs in Washington look for? The top searched job categories for Data Science Major jobs in Washington are:
What cities in Washington are hiring for Data Science Major jobs? Cities in Washington with the most Data Science Major job openings:
Infographic showing various Data Science Major job openings in Washington as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 1% Temporary, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Lead Data Scientist

InstantServe LLC

Suitland, MD • On-site

Full-time

Posted 14 days ago


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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