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

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 ...

Senior Data Engineer

Columbia, MD · Remote

$105K - $142K/yr

Location:Fully Remote, United States Position Type: Full-Time Clearance: U.S. citizenship is ... Bachelor's degree in computer science, data science, information systems, engineering, or a related ...

Senior Manager, Master Data Delivery Towson, MD/ Remote based in the USA Come build your career. It ... Bachelor's degree in business, Finance, Data Science, Marketing, or a similar field. * 8+ years of ...

Remote Job Duration: Fulltime Client: Federal Criteria- Need ship because of federal regulations ... Ability to obtain Public Trust Clearance * 5+ years of experience in AI/ML, Data Science, Data ...

Showing results 41-60

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.

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:

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 Analytics - Human Resources

A P Ventures

Columbia, MD • Remote

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Title: Data Analytics - Human Resources Location: Remote Company Overview At APV, were more than a technology company were a mission-driven powerhouse transforming organizations through advanced technology and human ingenuity. Our expertise spans AI/ML, data architecture, low-code/no-code development, Agile DevSecOps, and cloud services, delivering scalable and meaningful solutions. In our Emerging Technology Lab, innovation drives progress.

Our teams create intelligent chatbots, AI-powered assistants, robotic process automation (RPA), essay graders, and data analytics platforms. If youre passionate about solving complex challenges and shaping the future, APV is the place for you. Since 2007, weve partnered with federal and state agencies to deliver IT, training, and consulting solutions that achieve mission-critical outcomes. Built on accountability, integrity, and quality, we go beyond expectations.

With 70+ prime contracts and a proven record of client success, APV continues to grow and were looking for exceptional talent to grow with us. At APV, we Always Provide Value Position Summary: The HR Data Analyst will play a pivotal role in driving data-driven decision-making processes. This position involves analyzing workforce data, identifying trends, and providing actionable insights to support strategic initiatives.

The ideal candidate will possess a strong background in data analytics, HR metrics, and business intelligence tools, enabling them to effectively interpret complex data sets and translate findings into impactful recommendations.

Duties:

Data Collection and Management: Collect, compile, and organize large volumes of workforce data from various sources, including HRIS, payroll systems, employee surveys, and other relevant databases. Ensure data integrity, accuracy, and consistency by conducting regular audits and data validation checks. Maintain and update dashboards, ensuring they reflect current and relevant data.

Data Analysis and Interpretation: Conduct in-depth analysis of data to identify trends, patterns, and correlations related to employee performance, retention, recruitment, and other key HR metrics. Utilize statistical methods and advanced analytics techniques to uncover insights that drive strategies and business decisions. Interpret complex data sets and translate findings into clear, concise reports and presentations for senior leadership and other stakeholders.

Reporting and Visualization: Develop and maintain comprehensive workforce analytics reports and dashboards using business intelligence tools such as Tableau, Power BI, or similar platforms. Create visually appealing and easily understandable data visualizations that effectively communicate key insights and trends. Present findings and recommendations to leadership and cross-functional teams, providing context and actionable steps.

Process Improvement and Innovation: Continuously seek opportunities to enhance data collection, analysis, and reporting processes. Stay updated on industry trends, best practices, and emerging technologies in workforce analytics and data science. Propose and implement innovative solutions to improve the efficiency and effectiveness of HR analytics efforts. Collaboration and Stakeholder Management: Work closely with HR teams, IT, and other departments to ensure alignment and integration of data analytics initiatives.

Serve as a subject matter expert on data analytics, providing guidance and support to HR colleagues and stakeholders. Foster a data-driven culture within the organization by promoting the use of analytics in decision-making processes.

Education:

Bachelors degree in data science, Statistics, Computer Science, or a related field. Masters degree preferred.

Required Qualifications:

Minimum of 5 years of experience in data analytics, preferably within the HR domain. Proven track record of conducting complex data analysis and presenting actionable insights to senior leadership. Proficiency in data analysis tools and programming languages such as SQL, Python, R, and Microsoft Excel. Expertise in using business intelligence and data visualization tools like Tableau, Power BI, or similar platforms. Strong understanding of HRIS systems and workforce data sources. Exceptional analytical and problem-solving skills with the ability to interpret complex data sets. Strong attention to detail and commitment to data accuracy and integrity. Excellent written and verbal communication skills, with the ability to convey complex information in a clear and concise manner. Experience in creating and delivering presentations to diverse audiences.

Preferred Qualifications:

Experience with advanced analytics techniques such as machine learning, predictive modeling, and data mining. Knowledge of workforce planning methodologies and best practices. HR data and systems from the National Finance Center (NFC) Experience with Federal HR About APV APV is an Equal Employment Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, national origin, gender, age, religion, disability, sexual orientation, veteran status, or marital status.