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Remote Data Science Apprenticeship Jobs in Silver Spring, MD

Booz Allen Hamilton, Inc.

Data Scientist

Washington, DC · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0245950 Location: Washington,DC,US Share job via: Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets held ...

Booz Allen Hamilton, Inc.

Data Scientist, Mid

Reston, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0247640 Location: Reston,VA,US Share job via: Share Data Scientist, Mid The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets held ...

Eastport Analytics, Inc

Data Scientist

Washington, DC · On-site +1

$103K - $120K/yr

Two+ years in a data science role; experience in federal financial regulatory environments (e.g ... Remote position requiring availability to collaborate during core business hours (9:00 AM - 5:00 PM ...

Booz Allen Hamilton, Inc.

Data Scientist

Alexandria, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0248011 Location: Alexandria,VA,US Share job via: Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets held ...

Booz Allen Hamilton, Inc.

Data Scientist

Washington, DC · On-site +1

$62K - $141K/yr

Remote Work: No Job Number: R0246054 Location: Washington,DC,US Share job via: Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets held ...

ManTech

Data Scientist

Fort George G Meade, MD · Remote

$128K - $214K/yr

Apply expert knowledge in data science to deliver solutions that address clients' business needs ... For Remote Opportunities), education and certifications as well as Federal Government Contract ...

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

Remote Data Science Apprenticeship information

What is a remote data science apprenticeship?

A Remote Data Science Apprenticeship is a structured training program that allows individuals to gain practical experience in data science while working from a remote location. These apprenticeships typically combine mentorship, hands-on projects, and coursework to help participants develop essential skills like data analysis, machine learning, and programming. Apprentices work with real-world datasets and collaborate with experienced data scientists, often as part of a distributed team. The remote format offers flexibility and accessibility, making it easier for people from various backgrounds to enter the data science field.

What are the key skills and qualifications needed to thrive as a remote data science apprentice?

To thrive as a Remote Data Science Apprentice, you need a solid understanding of statistics, programming (commonly Python or R), and a relevant educational background such as coursework or a degree in computer science, mathematics, or a related field. Familiarity with data analysis tools like Pandas, NumPy, SQL, and visualization platforms, as well as version control systems such as Git, is typically required. Strong communication, problem-solving abilities, and self-motivation are essential soft skills for remote collaboration and continuous learning. These skills and qualities are crucial for effectively analyzing data, contributing to team projects, and adapting to the dynamic, independent nature of remote work environments.

What are some common challenges faced during a remote data science apprenticeship, and how can they be overcome?

Remote data science apprenticeships often present challenges such as limited face-to-face mentorship, managing time across different projects, and staying motivated without in-person team dynamics. To overcome these, it's important to proactively communicate with your mentors and peers, make use of collaborative tools like Slack or Zoom, and set clear, achievable goals each week. Establishing a structured daily routine and regularly participating in virtual team meetings can also help maintain accountability and foster a sense of connection with the team.

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

AspectRemote Data Science ApprenticeshipRemote Data Analyst
Required CredentialsTypically entry-level, often requiring a background in math, statistics, or computer science; may include certifications or coursesUsually requires a degree in data-related fields; certifications like Excel, SQL, or Tableau are common
Work EnvironmentTraining-focused, often with mentorship; may involve project-based learningOperational, analyzing data to support business decisions; may involve reporting and visualization
Employer & Industry UsageUsed by companies to train future data scientists; common in tech, finance, healthcareUsed across industries for data-driven decision making; common in marketing, finance, retail

The Remote Data Science Apprenticeship is a training program designed to develop skills in data science, often with mentorship, while a Remote Data Analyst focuses on analyzing and interpreting data to inform business strategies. Both roles require familiarity with data tools, but apprenticeships emphasize learning and growth, whereas analyst roles focus on applying existing skills.

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

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

The top searched job categories for Remote Data Science Apprenticeship jobs in Silver Spring, MD are:

Remote Data Science Apprenticeship jobs near you
Infographic showing various Remote Data Science Apprenticeship job openings in Silver Spring, MD as of June 2026, with employment types broken down into 1% As Needed, 93% Full Time, 3% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Clinical Transformation Data Scientist, Remote

Baltimore, MD • Remote

University of Maryland Medical System
See more jobs at University of Maryland Medical Systemexternal

Full-time

Posted 16 days ago

Job description

Job Requirements

Join a leading academic medical center dedicated to advancing healthcare through innovation and data-driven insights. We are committed to transforming clinical care by leveraging cutting-edge analytics and fostering a culture of continuous improvement.

We are seeking a highly skilled Clinical Transformation Data Scientist to join our team in 2026. This role focuses on applying advanced data science techniques to healthcare data within an academic medical center setting. The ideal candidate will drive clinical transformation initiatives by developing predictive models, optimizing clinical workflows, and generating actionable insights that improve patient outcomes and operational efficiency.

Responsibilities:

  • Collaborate with multidisciplinary clinical and research teams to identify opportunities for data-driven clinical transformation. 
  • Develop, validate, and deploy machine learning models and advanced analytics solutions tailored to healthcare challenges. 
  • Analyze large, complex healthcare datasets including electronic health records (EHR), imaging, genomics, and patient-reported outcomes. 
  • Translate data insights into strategic recommendations to enhance clinical decision-making and patient care pathways. 
  • Support clinical trials and research projects by providing robust data analysis and visualization. 
  • Ensure compliance with healthcare regulations and data privacy standards in all data handling and analysis activities. 
  • Communicate findings effectively to both technical and non-technical stakeholders through reports, presentations, and dashboards. 
  • Stay current with emerging data science methodologies, healthcare technologies, and industry best practices.

Work Experience

The ideal candidate will possess strong technical expertise in the latest data science technologies, applications, and software. This role requires hands-on experience with machine learning, artificial intelligence (AI), predictive modeling, and advanced analytics to drive clinical transformation initiatives. 

Education and Experience

  • Master's in Data Analysis field or a related field required. Doctoral preferred.
  • Three (3) years of Data Analytics and Database Management experience required
  • Clinical Background preferred
  • Developing and implementing machine learning models and AI-driven solutions to enhance clinical decision-making and operational efficiency. 
  • Utilizing predictive modeling and cognitive analytics to extract actionable insights from complex healthcare data. 
  • Collaborating with clinical and technical teams to translate data-driven insights into impactful clinical transformation strategies. 
  • Leveraging advanced Epic tools such as Cogito Cloud, Nebula, and Agent Factory to optimize data workflows and analytics processes. 
  • Maintaining up-to-date knowledge of emerging data science technologies and best practices in healthcare analytics. 

Knowledge, Skills and Abilities

  • Proven experience in data science with a focus on machine learning, AI, predictive modeling, and advanced analytics. 
  • Familiarity with AI and cognitive analytics is highly desirable. 
  • Experience working with advanced Epic tools (Cogito Cloud, Nebula, Agent Factory) is a strong plus. 
  • Epic certifications are highly preferred. 
  • Statistical analysis (experience with tools such as SAS, SPSS)
  • Experience using Tableau and/or Smartsheets software for data visualization
  • Excel expert including macros, visual basic
  • Advanced SQL, Excel and Vizient query languages and database design
  •  Metric quantitative and qualitative analysis
  •  Experience in data manipulation, transformation, scrubbing and imputation with acute attention to detail
  • Expert at identifying data anomalies
  • Ensures, analyzes and monitors data quality
  • Strong analytic and problem-solving skills
  • Strong writing and editing skills
  • Ability to plan work, set clear direction and coordinate projects in a multi-disciplinary environment
  •  Ability to work cooperatively and effectively with people from various organizational levels
  • Remains current with published literature in the fields of medicine, statistical analysis and healthcare operations
  • Change oriented and actively supports process improvement   

Employment Type: FULL_TIME

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