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

SAIC

Senior Data Scientist

Springfield, VA · Remote

TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description ? SAIC is a premier Fortune 500 ... Apply expert knowledge of industry-standard data science principles to identify anomalous events ...

HiddenLayer

Data Scientist

Washington, DC · Remote

Data Scientist Remote [within the US] ABOUT THE ROLE: We're looking for a Data Scientist to join our Data Sciences and ML Engineering team. You'll be building, shipping, and improving the models and ...

GRVTY

Data Scientist - Cleared

Chantilly, VA · On-site +1

... data science missions. A seamless group of contractor and customer personnel work to create ... remote work) and requires a TS/SCI + Poly clearance (acceptable to this customer). What You'll be ...

U.S. Census Bureau

Data Scientist

Suitland, MD · On-site +1

$102K - $133K/yr

Participates in planning, designing, developing, and implementing state- of-the-art data science applications, models, technologies, and guide principles for data use and analysis. * Writes and ...

Deloitte

AI and Data Science Engineer III

Baltimore, MD · On-site +1

$113K - $136K/yr

AI and Data Science Engineer III Position Summary Our Deloitte Human Capital team transforms technology platforms, drives innovation, and helps make a significant impact on our clients' success. We ...

2 Twelve Solutions

Mid-level Data Scientist

Reston, VA · On-site +1

We seek a Mid-level Data Scientist to support a client in hybrid remote / Reston, VA . Responsibilities What you get to do everyday: * Support the Advanced Data Consortium (ADC), a member-driven ...

Deloitte

AI and Data Science Engineer III

Mclean, VA · On-site +1

$115K - $139K/yr

AI and Data Science Engineer III Position Summary Our Deloitte Human Capital team transforms technology platforms, drives innovation, and helps make a significant impact on our clients' success. We ...

2 Twelve Solutions

Mid-level Data Scientist

Reston, VA · On-site +1

We seek a Mid-level Data Scientist to support a client in hybrid remote / Reston, VA . What you get to do everyday: * Support the Advanced Data Consortium (ADC), a member-driven program that enables ...

Level Up Llc

Data Scientist

Reston, VA · On-site +1

Computational Social Science * Computer Science * Data Analytics * Economics * Engineering ... This position has an on-site requirement and is not eligible for fully remote candidates. At Level ...

AVIAN, LLC

Data Scientist

Reston, VA · On-site +1

Computational Social Science * Computer Science * Data Analytics * Economics * Engineering ... This position has an on-site requirement and is not eligible for fully remote candidates. At Level ...

Peraton

Data Science, Senior Associate

Herndon, VA · On-site +1

$80K - $128K/yr

Involved in the analysis of unstructured and semi-structured data, including latent semantic indexing (LSI), entity identification and tagging, complex event processing (CEP), and the application of ...

New

BlueLabs, Inc.

Data Scientist

Washington, DC · On-site +1

The BlueLabs Data Science Team develops deep expertise and uses data to inform strategic advice to our clients. Our polling work designs, implements, and fields tools that power our analysis and ...

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All JobsRemote Data Science JobsRemote Data Science Jobs in Silver Spring, MD

Remote Data Science information

See Silver Spring, MD salary details

$24K

$106.9K

$204K

How much do remote data science jobs pay per year?

As of Jun 20, 2026, the average yearly pay for remote data science in Silver Spring, MD is $106,911.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,224.00 and $148,288.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid background in mathematics or computer science, often supported by a relevant degree. Expertise in programming languages such as Python or R, familiarity with machine learning libraries, and experience with cloud-based data platforms are typically required. Excellent communication, self-motivation, and time management skills help you effectively collaborate and deliver results in a remote environment. These skills ensure accurate data analysis, meaningful insights, and successful teamwork despite physical distance.

How do remote data scientists typically collaborate with cross-functional teams to deliver insights?

Remote data scientists often work closely with product managers, engineers, and business analysts using digital collaboration tools such as Slack, Zoom, and project management platforms. Regular virtual meetings, code sharing via Git repositories, and clear documentation are essential to ensure alignment and transparency. While working remotely can present challenges in communication, proactive updates and scheduled syncs help foster strong teamwork and keep projects on track.

What is remote data science?

Remote data science refers to the practice of performing data analysis, modeling, and interpretation tasks from a location outside of a traditional office, such as from home or a co-working space. Remote data scientists use tools like Python, R, and SQL to analyze data, build predictive models, and communicate insights to stakeholders, all while collaborating virtually with their teams. This setup offers flexibility and can increase access to global job opportunities, but also requires strong self-motivation and communication skills to be effective.

Can a data scientist work fully remote?

Yes, many data scientists work fully remote, especially in companies that prioritize flexible work arrangements. Remote data science roles often require strong communication skills, proficiency with collaboration tools, and the ability to work independently on projects using programming languages like Python or R. However, some positions may require occasional in-person meetings or on-site presence depending on company policies.

Is 40 too late for data science?

Age is not a barrier to entering data science, and many professionals start or transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

Will AI replace 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 eliminate the need for human expertise in interpreting results, designing models, and making strategic decisions. Data scientists will continue to be essential for developing complex algorithms, understanding business context, and ensuring ethical use of AI tools. Skills in programming, statistical analysis, and machine learning remain critical for the profession's evolving landscape.

What Are the Qualifications to Get a Remote Data Science Job?

The qualifications for a remote data scientist depend in large part on your employer and their industry. Most employers expect remote data science professionals to have at least a bachelor’s degree in statistics, math, computer science, or a related field. Some expect postgraduate degrees in a field like data mining or machine learning or demonstrable skills in these areas. As a remote worker, you need access to relevant programs and an internet connection. You may also want to pursue certification, such as becoming a Certified Analytics Professional (CAP).

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

AspectRemote Data ScienceRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; programming skills in Python/R; knowledge of machine learningDegree in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, research-focused, often involves building models and algorithmsData reporting, visualization, and interpreting data trends for decision-making
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, retail, finance, healthcare

Remote Data Science involves developing predictive models and advanced analytics, requiring programming and machine learning skills. Remote Data Analysts focus on interpreting data, creating reports, and visualizations. While both roles analyze data remotely, Data Scientists typically handle more complex modeling tasks, whereas Data Analysts focus on data interpretation and reporting.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often use this concept to focus on the most impactful variables, optimize models, and prioritize tasks for efficiency.
More about Remote 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 Remote Data Science jobs in Silver Spring, MD? For Remote Data Science jobs in Silver Spring, MD, the most frequently searched job titles are:
What job categories do people searching Remote Data Science jobs in Silver Spring, MD look for? The top searched job categories for Remote Data Science jobs in Silver Spring, MD are:
What cities near Silver Spring, MD are hiring for Remote Data Science jobs? Cities near Silver Spring, MD with the most Remote Data Science job openings:
Remote Data Science jobs near you
Infographic showing various Remote Data Science job openings in Silver Spring, MD as of June 2026, with employment types broken down into 2% As Needed, 74% Full Time, 21% Part Time, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $106,911 per year, or $51.4 per hour.
Senior Data Scientist

Senior Data Scientist

SAIC

Springfield, VA • Remote

Other

Posted 2 days ago

SAIC rating

7.8

Company rating: 7.8 out of 10

Based on 78 frontline employees who took The Breakroom Quiz

70th of 204 rated it services

Job description

Job ID: 2610293
Location: Springfield, VA, US
Date Posted: 2026-03-24
Category: Information Technology
Subcategory: Data Scientist
Schedule: Full-Time
Shift: Day Job
Travel: No
Minimum Clearance Required: TS.SCI
Clearance Level Must Be Able to Obtain: TS/SCI with Poly
Potential for Remote Work: ORA_ON_SITE
Description
? SAIC is a premier Fortune 500 mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, civilian and intelligence markets includes secure high-end solutions in mission IT, enterprise IT, engineering services and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives.
We are seeking a highly motivated Senior Data Scientist to lead the integration and application of advanced data analytics to solve complex business challenges and enhance mission security. The contractor will serve as a subject matter expert (SME), responsible for the entire lifecycle of data analysis, refining business requirements and developing sophisticated analytical models to provide strategic recommendations that improve organizational efficiency and mitigate insider threats. This role demands a blend of deep technical expertise, strong business acumen, and the ability to lead, manage, and support critical operational and policy-related initiatives.
Work will be performed at the customer site in Springfield, VA.
***The hiring of this position is contingent upon contract award. Anticipated award is fall of 2026.***
Responsibilities will include the following:
  • Advanced Analytics and Model Development: Architect, develop, and maintain advanced analytic models, visualizations, and tools to deter, detect, and mitigate insider threats. Apply expert knowledge of industry-standard data science principles to identify anomalous events and provide actionable intelligence.
  • Strategic Business Analysis: Proactively collaborate with project requestors, senior stakeholders, and program managers to define, clarify, and refine complex business needs and strategic objectives. Utilize data-driven insights to recommend significant changes and process improvements.
  • Process Improvement and Policy Operations: Lead, manage, and support business operations and policy development lifecycles. Serve as an SME for the development, review, coordination, promulgation, and compliance of enterprise-wide policies, including the maintenance of Self-Inspection Checklists and related documentation.
  • Risk and Performance Analytics: Own the development and maintenance of sophisticated risk-scoring models and other data analytics tools. Drive the implementation and sustainment of data analysis platforms, ensuring system integrity by capturing and analyzing metrics on system errors, failures, and performance.
  • Stakeholder Engagement and Communication: Translate complex quantitative and qualitative analysis into clear, compelling visuals, dashboards, and executive-level reports. Provide authoritative visual, technical, and editorial guidance, and confidently brief senior leadership on analytical findings, forecasts, and strategic recommendations.
  • Data Governance and Integrity: Oversee the capture, maintenance, and accumulation of statistics, ensuring the accuracy of data related to timelines, product transfers between domains, and other key performance indicators.

Qualifications
Required Qualifications Include:
  • Active TS/SCI with Polygraph.
  • Education: A minimum of a Master's Degree in Data Science, Statistics, Business, or a related field.
  • Experience: 7+ years proven experience in integrating, developing, and maintaining analytic models, visualizations, and tools, preferably in a security or threat-detection context. In lieu of a masters degree, 10+ years of experience. In lieu of a bachelor's degree, 15+ years of experience.
  • Expert-level knowledge of data analytics and data science principles, with a demonstrated ability to apply them to identify anomalous events and create data-driven forecasts.
  • Extensive experience collaborating with stakeholders at all levels to define business requirements and translate them into technical solutions.
  • Demonstrated ability to lead process improvement initiatives and contribute to the full lifecycle of policy development and business operations.
  • Mastery of data visualization and dashboard development using data sets from various sources.
  • Exceptional ability to transform complex data sets into compelling visuals, reports, and briefings for leadership.
  • Excellent verbal and written communication skills, with experience providing technical and editorial guidance.
  • Direct experience supporting and maintaining risk-scoring models or similar predictive analytic systems.
  • Experience in a role requiring significant cross-functional collaboration and the ability to manage competing priorities.
  • Proficiency in creating and editing visual content such as charts and graphs to represent data.
  • At least 2 years demonstrated experience in one or more Geospatial Information Systems tools such as ArcView, ArcGIS, Remote View, ArcIMS, ERDAS Imagine, Remote View, ERDAS Imagine, Macromedia Dreamweaver, Macromedia Fireworks, Photoshop, HTML, and FrameMaker.
  • Demonstrated coding experience to support writing scripts with tools such as but not limited to Java and Python.
  • Demonstrated ability to use Share Point, Tableau, Redmine, and other systems/databases to manipulate and build data visualization.

Desired Qualifications Include:
  • Experience in a leadership or mentorship role within a data analytics or business intelligence team.
  • Familiarity with geospatial analysis, web development principles, or specific program leadership reporting structures.

SAIC is a premier technology integrator providing full life cycle services and solutions in the technical, engineering, intelligence, and enterprise information technology markets. SAIC is Redefining Ingenuity through its deep customer and domain knowledge to enable the delivery of systems engineering and integration offerings for large, complex projects. SAIC's approximately 15,000 employees are driven by integrity and mission focus to serve customers in the U.S. federal government. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $4.5 billion. For more information, visit saic.com. For information on the benefits SAIC offers, see .

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