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Remote Data Science Jobs in Baltimore, MD (NOW HIRING)

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Senior Data Scientist

Baltimore, MD · On-site +1

$140K - $200K/yr

Master's degree in Computer Science, Data Science, or a related field required; PhD preferred. A minimum of ten (10) years of experience or an equivalent combination of education and experience, with ...

CareFirst

Lead Data Analyst (Remote)

Baltimore, MD · Remote

Bachelor's Degree in Data Science, Mathematics, Computer Science, Statistics, Business or related field OR in lieu of a Bachelor's degree, an additional 4 years of relevant work experience is ...

T Rowe Price

Lead Data Engineer

Baltimore, MD · On-site +1

$113K - $136K/yr

Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field (or ... Work Flexibility This role is eligible for full time remote work.

Social Security Administration

Data Scientist

Woodlawn, MD · On-site +1

$143K - $187K/yr

Forget everything you think you know about data science-this isn't just about crunching numbers! Today's data scientists leverage cutting-edge tools, machine learning, and statistical modeling to ...

CareFirst

Senior Data Analyst (Remote)

Baltimore, MD · Remote

$85K - $107K/yr

Bachelor's Degree in Data Science, Mathematics, Computer Science, Statistics, Business or related field OR in lieu of a Bachelor's degree, an additional 4 years of relevant work experience is ...

CareFirst

Senior Data Analyst (Remote)

Baltimore, MD · Remote

$85K - $107K/yr

Bachelor's Degree in Data Science, Mathematics, Computer Science, Statistics, Business or related field OR in lieu of a Bachelor's degree, an additional 4 years of relevant work experience is ...

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All JobsData Science JobsRemote Data Science JobsRemote Data Science Jobs in Baltimore, MD

Remote Data Science information

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.

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 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 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.

Can I work remotely as a data scientist?

Yes, many data scientist roles are available as remote positions, especially in companies that prioritize flexible work arrangements. Remote data scientists typically need strong skills in programming, data analysis, and tools like Python or R, and may require familiarity with cloud platforms and collaboration tools. Availability depends on the employer's policies and the specific job requirements.
More about Remote Data Science jobs

What are the most commonly searched types of Data Science jobs in Baltimore, MD?

The most popular types of Data Science jobs in Baltimore, MD are:

What are popular job titles related to Remote Data Science jobs in Baltimore, MD?

For Remote Data Science jobs in Baltimore, MD, the most frequently searched job titles are:

What job categories do people searching Remote Data Science jobs in Baltimore, MD look for?

The top searched job categories for Remote Data Science jobs in Baltimore, MD are:

What cities near Baltimore, MD are hiring for Remote Data Science jobs?

Cities near Baltimore, MD with the most Remote Data Science job openings:

Remote Data Science jobs near you
Infographic showing various Remote Data Science job openings in Baltimore, MD as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Data Scientist - AI/ML (TS/SCI w/Poly)

Spry Methods

Linthicum, MD • On-site, Remote

$240K - $260K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 21 days ago

Key responsibilities

  • Apply machine learning, statistical methods, and analytics to address cyber and intelligence-related challenges.

  • Design, develop, and optimize models for pattern detection, classification, and anomaly identification.

  • Ingest, transform, and integrate data from multiple sources to support analytic workflows.

Job description

Company Overview
Spry Methods is a proven provider of mission-focused technology, cybersecurity, and program management solutions supporting critical Federal and DoD missions. We specialize in delivering integrated, high-impact solutions across cyber operations, enterprise resource management, and mission support services. Our culture emphasizes collaboration, accountability, and innovation - empowering our teams to deliver meaningful outcomes in complex, high-security environments. 

Who We’re Looking For (Position Overview):

Spry Methods is seeking an AI/ML Data Scientist to support Defensive Cyber Operations within a mission-focused environment. This role directly supports national security objectives by developing and deploying analytic capabilities that enable detection, analysis, and response to cyber threats. 

The Data Scientist will work within an integrated team of engineers, analysts, and mission stakeholders to transform complex, high-volume data into actionable insights. The position emphasizes applied analytics, model deployment, and operational impact—moving beyond research to deliver solutions that support real-time cyber operations. 

 
What Your Day-To-Day Looks Like (Position Responsibilities):
Apply machine learning, statistical methods, and analytics to address cyber and intelligence-related challenges  

Design, develop, and optimize models for pattern detection, classification, and anomaly identification  

Ingest, transform, and integrate data from multiple sources to support analytic workflows  

Build and maintain data pipelines and ensure data quality, consistency, and accessibility  

Deploy analytic models into production and monitor performance for continuous improvement  

Collaborate with analysts and operators to interpret results and refine analytic approaches  

Translate technical findings into clear, actionable insights for stakeholders  

Support rapid prototyping and delivery of new analytic capabilities in operational environments  

Document data sources, models, and processes to ensure transparency and reproducibility  

Stay current with emerging data science techniques and tools to enhance mission impact 

What You Need to Succeed (Minimum Requirements):
  • Active TS/SCI clearance with polygraph  

  • Bachelor’s degree in Computer Science, Data Science, Mathematics, Engineering, or related field  

  • 8+ years of experience supporting data science, analytics, or cyber-related programs (or equivalent combination of education and experience)  

  • 3+ years of experience supporting Defensive Cyber Operations environments  

  • 3+ years of hands-on experience with machine learning and statistical modeling  

  • Experience evaluating, validating, and implementing analytic models in operational environments  

  • Proficiency in one or more programming languages used for data analysis (e.g., Python, R)  

  • Experience using SQL or similar tools to manipulate and analyze data 

Ideally, You Also Have (Preferred Qualifications):

Experience with:  

  • Cloud environments (e.g., AWS) 

  • Big data platforms and distributed data processing 

  • Cybersecurity frameworks, controls, or compliance requirements (e.g., STIGs, IAVAs) 

  • Strong technical background in:  

  • Linux (e.g., Ubuntu, CentOS, RHEL) and/or Windows environments 

  • Virtualized or hybrid infrastructure 

  • Experience with:  

  • Jupyter Notebooks and interactive data analysis tools 

  • Network analysis and cyber data sets 

  • Familiarity with:  

  • Automation and scripting for analytic workflows 

  • Software development practices and collaboration with engineering teams 

Final compensation will be based on experience, qualifications, certifications, clearance level, and contract requirements.. This position is contingent upon contract award. 

Perks of Working for Us (Benefits):

Medical Coverage – Cigna - 4 Options

- Traditional - PPO Open Access Plus Network

- (2) HDHP - PPO Open Access Plus Network

- HDHP - EPO Open Access Plus Network

Dental Coverage – Cigna - PPO Base & Buy-Up Plans

Vision Coverage – Principal - VSP Choice Network

Paid Holidays: Full-time employees receive 11 paid federal holidays

Paid Time Off (PTO) – PTO accrual starts at 15 days per year

Training Benefit – Annual training allowance available toward any job-related training or education

401(k) – Multiple Fund Choices through Fidelity with a company match

For our full list of benefits, please visit http://www.sprymethods.com/careers/benefits/

 
EEO Statement
At Spry, we believe talented and dedicated employees are our most valued assets and the foundation of our success. We are committed to crafting a diverse and inclusive workplace that endorses engagement, creativity, quality and innovation.
 
We are proud to be an Affirmative Action and Equal Opportunity Employer and as such, we evaluate qualified candidates in full consideration without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, national origin, age, disability status, protected veteran status, and any other protected status.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.