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Remote Data Scientist Machine Learning Jobs in Silver Spring, MD

Data Scientist Workplace: Washington DC Metro Area - Remote (candidates MUST BE located in the ... Maintain current in emerging tools and techniques in machine learning, statistical modeling, and ...

Data Scientist Workplace: Washington DC Metro Area - Remote (candidates MUST BE located in the ... Maintain current in emerging tools and techniques in machine learning, statistical modeling, and ...

Data Scientist (AI)

Washington, DC ยท Remote

$125K - $190K/yr

AI Data Scientist REMOTE US Citizen What You Will Need: * Bachelor's or Master's degree in Data ... Solid experience in data science, machine learning, or applied analytics roles * Experience ...

Data Scientist

Herndon, VA ยท On-site +1

... the machine learning development lifecycle, from data curation and synthetic data generation to ... Herndon, VA with remote flexibility. Must be local to the DC Metro area. Responsibilities * Curate ...

Data Scientist

Arlington, VA ยท On-site +1

... for remote work to be determined by the program manager and customer. Essential Functions ... Bachelor's degree in a highly quantitative field (Computer Science, Machine Learning, Operational ...

Data Scientist

Washington, DC ยท On-site +1

$141K - $236K/yr

Minimum Qualifications: * 7 or more years of experience in data science, machine learning, or ... For Remote Opportunities), education and certifications as well as Federal Government Contract ...

Data Scientist Position Overview: We are seeking a Data Scientist to support reclassification ... Experience with natural language processing (NLP), machine learning, and data visualization.

Develop statistical and machine learning models (classification, time series, etc.) using a custom ... Ability to work effectively and independently in a remote role, managing multiple priorities and ...

Develop statistical and machine learning models (classification, time series, etc.) using a custom ... Ability to work effectively and independently in a remote role, managing multiple priorities and ...

Develop statistical and machine learning models (classification, time series, etc.) using a custom ... Ability to work effectively and independently in a remote role, managing multiple priorities and ...

Design, develop, and maintain machine learning and deep learning models, including both traditional (e.g., regression, tree-based models) and neural network-based approaches. * Build and deploy end ...

Data Scientist

Windsor Mill, MD ยท On-site +1

$102K - $144K/yr

Design, develop, and maintain machine learning and deep learning models, including both traditional (e.g., regression, tree-based models) and neural network-based approaches. * Build and deploy end ...

Lead and oversee the development of advanced machine learning models, ensuring their seamless ... per week remote/home. Office Location Options: * Louisville, KY * Boston, MA * New York, NY

Lead and oversee the development of advanced machine learning models, ensuring their seamless ... per week remote/home. Office Location Options: * Louisville, KY * Boston, MA * New York, NY

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Remote Data Scientist Machine Learning information

See Silver Spring, MD salary details

$38.8K

$126.9K

$203.1K

How much do remote data scientist machine learning jobs pay per year?

As of Jun 20, 2026, the average yearly pay for remote data scientist machine learning 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.

What does a Remote Data Scientist specializing in Machine Learning do?

A Remote Data Scientist specializing in Machine Learning uses advanced statistical techniques and programming skills to analyze large datasets and build predictive models, all while working from a remote location. They design, develop, and deploy machine learning algorithms to solve business problems, such as forecasting trends or automating processes. Their work often involves data cleaning, feature engineering, model selection, and collaborating with cross-functional teams to integrate these models into products or services. Remote data scientists typically use tools like Python, R, and cloud-based platforms to perform their tasks efficiently.

What is the difference between Remote Data Scientist Machine Learning vs Remote Data Scientist?

AspectRemote Data Scientist Machine LearningRemote Data Scientist
Required CredentialsMaster's or PhD in Data Science, Computer Science, or related field; experience with ML frameworksSimilar educational background; may focus more on statistical analysis and data visualization
Work EnvironmentPrimarily involves developing ML models, coding in Python/R, and deploying algorithmsFocuses on data analysis, reporting, and insights generation, often with less emphasis on ML deployment
Employer & Industry UsageUsed in tech, finance, healthcare for predictive modeling and automationCommon across various industries for data analysis and business intelligence

While both roles require strong analytical skills and similar educational backgrounds, Remote Data Scientist Machine Learning specializes in developing and deploying machine learning models, whereas Remote Data Scientist focuses more on data analysis and reporting. The ML role often involves coding and algorithm development, making it more technical in nature.

How do remote data scientists specializing in machine learning typically collaborate with cross-functional teams?

Remote data scientists in machine learning often work closely with product managers, engineers, and business analysts through virtual meetings, collaborative platforms, and shared documentation tools. They regularly participate in sprint planning, code reviews, and brainstorming sessions to ensure alignment with project goals. Effective communication and proactive updates are essential for overcoming the challenges of remote collaboration and maintaining project momentum. Building strong relationships with team members across different time zones helps foster innovation and ensures that machine learning solutions are well-integrated into broader business objectives.

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

To excel as a Remote Data Scientist in Machine Learning, you need a solid background in statistics, programming (typically Python or R), and a degree in computer science, mathematics, or a related field. Familiarity with tools and frameworks such as TensorFlow, scikit-learn, PyTorch, and experience with cloud platforms like AWS or Azure are often required, along with relevant certifications. Strong problem-solving skills, effective communication, and the ability to work independently are crucial soft skills for remote collaboration and translating insights for diverse stakeholders. These competencies ensure the development of robust models, clear communication of findings, and successful project delivery in a distributed work environment.
What are popular job titles related to Remote Data Scientist Machine Learning jobs in Silver Spring, MD? For Remote Data Scientist Machine Learning jobs in Silver Spring, MD, the most frequently searched job titles are:
What job categories do people searching Remote Data Scientist Machine Learning jobs in Silver Spring, MD look for? The top searched job categories for Remote Data Scientist Machine Learning jobs in Silver Spring, MD are:
What cities near Silver Spring, MD are hiring for Remote Data Scientist Machine Learning jobs? Cities near Silver Spring, MD with the most Remote Data Scientist Machine Learning job openings:
Data Scientist (Remote)

Data Scientist (Remote)

Elder Research

Arlington, VA โ€ข On-site, Remote

Other

PTO

Posted 6 days ago


Job description

Job Title: Data Scientist

Workplace: Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV)

Clearance Required: a TS or CBP BI or DHS Suitability clearance adjudicated within the past 4 years


Position Overview:

Supports U.S. Customs and Border Protection in the Washington DC area. As a Data Scientist, with little or no supervision, apply expert knowledge in statistical analysis, complex data mining, and artificial intelligence to make value out of data. Provide consulting relating to the data mining and analysis of data from a range of sources to transform raw data into concise and actionable insights. Design and implement data-driven solutions, with specific focus on advanced analytical methods, data models, and visualizations. Develop quantitative simulations and models to provide descriptive and predictive analytics solution recommendations. Identify trends and problems through complex big data analysis. Maintain current in emerging tools and techniques in machine learning, statistical modeling, and analytics.


Requirements:

  • MUST HAVE Six (6) years of relevant experience in applied research, big data analytics, statistics, applied mathematics, data science, computer science, operations research or other closely related other quantitative or mathematical discipline. At least three (3) years of direct experience in machine learning.

  • Must have a Advanced Degree (Masters or PhD) in Statistics, Applied Mathematics, Data Science, Computer Science, Operations Research or other closely related other quantitative or mathematical discipline. A PhD degree may be substituted for up to three (3) years of relevant experience.

  • Demonstrates knowledge of data mining methods, databases, data visualization and machine learning.

  • Ability to communicate analysis techniques, concepts and products.

  • Ability to develop data-driven solutions, data models, and visualizations

  • Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV)

Preferred Experience and Skills:

  • Expertise using Qlik to embed visualizations into webpages

  • Familiarity with Databricks or similar cloud-based distributed database technologies

  • Familiarity with PySpark and Python

  • Comfortable developing complex SQL queries to extract, transform, and load data


About Elder Research, Inc

People Centered. Data Driven

Elder Research is a fast growing consulting firm specializing in predictive analytics. Being in the data mining business almost 30 years, we pride ourselves in our ability to find creative, cutting edge solutions to real-world problems. We work hard to provide the best value to our clients and allow each person to contribute their ideas and put their skills to use immediately.

Our team members are passionate, curious, life-long learners. We value humility, servant-leadership, teamwork, and integrity. We seek to serve our clients and our teammates to the best of our abilities. In keeping with our entrepreneurial spirit, we want candidates who are self-motivated with an innate curiosity and strong team work.

Elder Research believes in continuous learning and community - each week the entire company attends a Tech Talk and each office location provides lunch. Elder Research provides a supportive work environment with established parental, bereavement, and PTO policies. By prioritizing a healthy work-life balance - with reasonable hours, solid pay, low travel, and extremely flexible time off - Elder Research enables and encourages its employees to serve others and enjoy their lives.

Elder Research, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

Elder Research is a Government contractor and many of our positions require US Citizenship.