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Data Science Jobs in Silver Spring, MD (NOW HIRING)

Capital One

Manager, Data Science

Mclean, VA · On-site +1

Center 1 (19052), United States of America, McLean, Virginia Manager, Data Science Manager, Data Science positions offered by Capital One Services, LLC (McLean, VA). Exercising discretion at a more ...

Capital One

Manager, Data Science

Mclean, VA · On-site

Center 1 (19052), United States of America, McLean, Virginia Manager, Data Science Manager, Data Science positions offered by Capital One Services, LLC (McLean, VA). Exercising discretion at a more ...

Blend360

Marketing Data Science Manager

Columbia, MD · On-site

$125K - $160K/yr

You'll work on end-to-end data science initiatives, with opportunities to design and implement cutting-edge generative AI (GenAI) and LLM-powered solutions. Key Responsibilities Data Science ...

Blend360

Marketing Data Science Manager

Columbia, MD

$125K - $160K/yr

You'll work on end-to-end data science initiatives, with opportunities to design and implement cutting-edge generative AI (GenAI) and LLM-powered solutions. Key Responsibilities Data Science ...

Blend360

Data Science Manager

Columbia, MD

Coordinate across data science, analytics, and operations teams to drive high-quality delivery and actionable insights * Provide leadership and mentorship to junior team members while helping drive ...

Blend360

Data Science Manager

Columbia, MD · On-site +1

$125K - $160K/yr

Coordinate across data science, analytics, and operations teams to drive high-quality delivery and actionable insights * Provide leadership and mentorship to junior team members while helping drive ...

Blend360

Data Science Manager

Columbia, MD · On-site

$125K - $160K/yr

Coordinate across data science, analytics, and operations teams to drive high-quality delivery and actionable insights * Provide leadership and mentorship to junior team members while helping drive ...

Power3 Solutions

SWE3 - Data Science

Laurel, MD · On-site

$200K - $275K/yr

Data Science skills/background * Experience with AWS * Experience implementing ML systems * Experience with Spark * Exploratory Data Analysis (EDA) * Agentic AI * Large Language Models (LLM)

Power3 Solutions

SWE3 - Data Science

Laurel, MD

$200K - $275K/yr

Data Science skills/background * Experience with AWS * Experience implementing ML systems * Experience with Spark * Exploratory Data Analysis (EDA) * Agentic AI * Large Language Models (LLM)

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All JobsData Science JobsData Science Jobs in Silver Spring, MD

Data Science information

See Silver Spring, MD salary details

$38.8K

$126.9K

$203.1K

How much do data science jobs pay per year?

As of Jul 10, 2026, the average yearly pay for data science in Silver Spring, MD is $126,884.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,800.00 and $140,600.00 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 Silver Spring, MD? The most popular types of Data Science jobs in Silver Spring, MD are:
What are popular job titles related to Data Science jobs in Silver Spring, MD? For Data Science jobs in Silver Spring, MD, the most frequently searched job titles are:
What job categories do people searching Data Science jobs in Silver Spring, MD look for? The top searched job categories for Data Science jobs in Silver Spring, MD are:
What cities near Silver Spring, MD are hiring for Data Science jobs? Cities near Silver Spring, MD with the most Data Science job openings:
Data Science jobs near you
Infographic showing various Data Science job openings in Silver Spring, MD as of July 2026, with employment types broken down into 1% As Needed, 76% Full Time, 21% Part Time, and 2% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $126,884 per year, or $61 per hour.
Data Science Practitioner

Data Science Practitioner

Accenture Federal Services

Suitland, MD • On-site

Full-time

Posted 26 days ago

Accenture Federal Services rating

8.4

Company rating: 8.4 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

48th of 442 rated business services

Job description

Job Summary:
Accenture Federal Services is dedicated to enhancing the capabilities of the US federal government through technology and innovation. They are seeking a Data Science Practitioner to lead data science projects, manage big data, and drive data-driven decision-making throughout the organization.
Responsibilities:
• Manage, architect and analyze big data in order to build data driven insights and high impact data visualizations
• Drive data-driven decision-making across the organization
• Oversee the end-to-end lifecycle of data science projects, from data collection and preparation to model development and deployment
• Design and implement robust data pipelines, ensuring seamless data flow and accessibility for analytical purposes
• Establish and enforce data governance frameworks, ensuring data integrity, security, and compliance with organizational standards
• Collaborate with cross-functional teams, translating complex data insights into actionable strategies that align with business objectives
• Create a value chain to help address the challenges of acquiring data, evaluating its value, distilling analyzing
• Examine data from multiple sources and share insights which provide competitive advantage
• Act as Subject Matter Expert in area of expertise and enhance Accenture's marketplace reputation
Qualifications:
Required:
• Develop Power BI reports and dashboards, providing insights into key performance indicators (KPIs) and streamlining data-driven decision making for stakeholders
• Experience analyzing existing systems & databases to understand, validate, and document content
• Active TS/SCI clearance required
• Manage, architect and analyze big data in order to build data driven insights and high impact data visualizations
• Drive data-driven decision-making across the organization
• Oversee the end-to-end lifecycle of data science projects, from data collection and preparation to model development and deployment
• Design and implement robust data pipelines, ensuring seamless data flow and accessibility for analytical purposes
• Establish and enforce data governance frameworks, ensuring data integrity, security, and compliance with organizational standards
• Collaborate with cross-functional teams, translating complex data insights into actionable strategies that align with business objectives
• Create a value chain to help address the challenges of acquiring data, evaluating its value, distilling analyzing
• Examine data from multiple sources and share insights which provide competitive advantage
• Act as Subject Matter Expert in area of expertise and enhance Accenture's marketplace reputation
Preferred:
• Good understanding of structured and unstructured data, various file types, data ETL, data pipelines, and ability to document
• Experience with Tableau
• Experience providing IT support as needed
Company:
Accenture Federal Services is a leading US federal services company and subsidiary of Accenture. Founded in 1989, the company is headquartered in Arlington, USA, with a team of 10001+ employees. The company is currently Late Stage.

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