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Data Science Jobs in Washington (NOW HIRING)

Blend360

Associate Director of Data Science

Columbia, MD

$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 ...

Tulk LLC

Data Science SME Mid

Fort Belvoir, VA · On-site

$115K - $157K/yr

Data Science SME Mid TULK supports U.S. national security customers with cleared experts who understand the mission, the tradecraft, and the people who have to make decisions with imperfect ...

Blend360

Associate Director of Data Science

Columbia, MD · 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 ...

VTG

Data Scientist

Chantilly, VA · On-site

$165K - $210K/yr

In addition to being responsible for applying data science techniques for cybersecurity solutions. May extract, transform, load, analyze and interpret relevant IA (information assurance) data for ...

VTG

Data Scientist

Chantilly, VA · On-site

$165K - $210K/yr

In addition to being responsible for applying data science techniques for cybersecurity solutions. May extract, transform, load, analyze and interpret relevant IA (information assurance) data for ...

Tulk LLC

Data Science SME Senior

Fort Belvoir, VA · On-site

$120K - $171K/yr

Data Science SME Senior TULK supports U.S. national security customers with cleared experts who understand the mission, the tradecraft, and the people who have to make decisions with imperfect ...

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All JobsData Science JobsData Science Jobs in Washington

Data Science information

See Washington salary details

$42.5K

$139K

$222.6K

How much do data science jobs pay per year?

As of Jul 5, 2026, the average yearly pay for data science in Washington is $139,013.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,600.00 and $154,000.00 per year, depending on experience, location, and employer.

Is data science a good career?

Data science is a growing field with high demand for professionals skilled in statistics, programming, and data analysis tools like Python and R. It offers competitive salaries, diverse industry applications, and opportunities for advancement, making it a strong career choice for those with relevant skills and education.

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

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

Is 40 too late for data science?

Data science is a field open to individuals of all ages, and many professionals transition into it later in their careers. Success often depends on acquiring relevant skills such as programming, statistics, and machine learning, which can be learned through online courses, bootcamps, or degrees regardless of age.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What jobs can a Data Scientist do?

A Data Scientist can work in roles such as data analyst, machine learning engineer, data engineer, or business intelligence analyst. These roles involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

What work do you do as a Data Scientist?

A Data Scientist analyzes large datasets to extract insights, build predictive models, and inform business decisions. They use programming languages like Python or R, and tools such as SQL and machine learning frameworks, often working in collaborative environments with data engineers and analysts.

What Does a Data Scientist Do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.
More about Data Science jobs
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 jobs in Washington? For Data Science jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Data Science jobs in Washington look for? The top searched job categories for Data Science jobs in Washington are:
What cities in Washington are hiring for Data Science jobs? Cities in Washington with the most Data Science job openings:
Data Science jobs near you
Infographic showing various Data Science job openings in Washington as of June 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $139,013 per year, or $66.8 per hour.
Senior Data Science Developer

Senior Data Science Developer

Integral

Annapolis Junction, MD • On-site

$155K - $175K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago

Job description

Overview
Senior Data Science Developer
Location: Annapolis Junction, MD (Hybrid)
Clearance: Public Trust (Level 4; High-Risk)
Integral Federal is looking to hire a Senior Data Science Developer to support the Transportation Security Administration (TSA) Performance Engineering Analytics (PEA) program. The PEA program will support TSA as they continue to look for ways to enhance its layered approach to security through new state-of-the-art technologies, expanded use of existing and proven technologies, improved passenger identification techniques, and other developments that will continue to strengthen anti-terrorism capabilities.
Responsibilities
• Develop software, tools, models and data products in both cloud (AWS) and on-premises data science and data analytics environment using a variety of programming languages such as Python, R, Java, and SQL
• Design and implement solutions to complex, large dataset problems using modern, leading practices and innovative techniques
• Develop and integrate data science applications, products and reporting solutions with the TSA systems, platforms and frameworks
• Develop creative solutions to data limitations, such as, regular purging of Personally Identifiable Information (PII), while maintaining the ability to perform frequency analyses, models, trends etc
• Test, maintain and recommend software improvements to ensure fit-for-purpose functionality and good practices optimization
• Ideate and identify opportunities to improve system capabilities and performance
• Produce documentation in support of technical specifications, test plans and software-related work products
• Make good technical decisions that provide solutions to business and stakeholder challenges and problems
• Compile timely, comprehensive and accurate documentation and/or reports as requested
Qualifications
Required:
-10+ years of relevant experience
-Currently or recently working as senior level developer in similar environments and with the tools (or similar tools) listed below
  • On-premises and/or Cloud data science and data analytics environments
  • Python and R in a data science toolkit environment or notebook environment
  • AWS Cloud products (Glue, Redshift)
  • Microsoft Power BI Report server or similar business intelligence tool

-Development experience with a focus on data manipulation and/or statistics
-Experience with data visualizations, reporting systems and Dashboards
-Experience with performance troubleshooting of Python and R code in a notebook or data science toolkit environment
-Expertise with complex SQL and large data sets; query troubleshooting and optimization to include analyzing optimization plans and debugging stored procedures
-Ability to learn new languages and technologies and solid troubleshooting aptitude
-Excellent verbal and written communication skills
-Strong analytical, problem-solving skills
-Resourcefulness and attention to detail
Preferred:
• Experience working in TSA mission or DHS environments
• Experience working in data science and data analytics environments
• Experience working as part of a team in an Agile environment to deliver software and data solutions
• Software development in an AWS Cloud environment
• Some development experience with Artificial Intelligence (AI) and Machine Learning (ML)
• Experience with Zeppelin notebooks or similar web-based notebook collaboration environment (e.g. JupyterLabs)
• Master of Science degree
Salary range: $155,000-$175,000
The above salary range represents a general guideline. Integral Federal considers a number of factors when determining base salary offers, such as the scope and responsibilities of the position and the candidate's experience, education, skills, and current market conditions.
Depending on the position, employees may be eligible for overtime, shift differential, and/or discretionary bonuses in addition to base pay.
Company Overview
Integral partners with federal defense, intelligence, and civilian leaders to tackle their most important challenges and deliver positive outcomes. Since our founding in 1998, we have helped clients leverage existing and emerging technologies to transform their enterprises, empower growth, drive innovation, and build sustainable success. The forward-leaning solutions we deliver are tailored to each mission with a focus on keeping our nation safe and secure.
Integral is headquartered in McLean, VA and serves clients throughout the country.
We offer a comprehensive total rewards package including paid parental leave and immediate vesting in our 401(k). Give us a try and become part of a curated group of professionals at Integral Federal!
Our package also includes:
• Medical, Dental & Vision Insurance
• Flexible Spending Accounts
• Short-Term and Long-Term Disability Insurance
• Life Insurance
• Paid Time Off & Holidays
• Earned Bonuses & Awards
• Professional Training Reimbursement
• Paid Parking
• Employee Assistance Program
Equal Opportunity Employer/Protected Veteran/Disability

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