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Weekend Data Science Jobs in Maryland (NOW HIRING)

Power3 Solutions

SWE3 - Data Science

Laurel, MD · On-site

... • Data Science skills/background • Experience with AWS • Experience implementing ML systems • Experience with Spark • Exploratory Data Analysis (EDA) • Agentic AI • Large Language ...

Blend360

Associate Director of Data Science

Columbia, MD

$58K - $59K/yr

In this pivotal role, you will lead our data science initiatives, driving innovation and delivering data-driven insights to support strategic decision-making across the organization. * Lead the ...

Blend360

Associate Director of Data Science

Columbia, MD · On-site +1

$58K - $59K/yr

In this pivotal role, you will lead our data science initiatives, driving innovation and delivering data-driven insights to support strategic decision-making across the organization. * Lead the ...

Axle

Data Science Fellow - AI/NLP

Rockville, MD

Data Science Fellow - AI/NLP To be considered for this position, please upload a document as your Cover Letter that answers the six questions below. Applications submitted without this document will ...

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Weekend Data Science information

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

To thrive as a Weekend Data Scientist, you need strong analytical skills, proficiency in statistics, and expertise in programming languages such as Python or R, often supported by a degree in a quantitative field. Familiarity with data analysis tools like SQL, machine learning libraries (e.g., scikit-learn, TensorFlow), and data visualization platforms (e.g., Tableau) is typically required. Excellent time management, problem-solving ability, and effective communication are crucial soft skills for delivering insights on tight weekend deadlines. These skills ensure that data-driven decisions can be made efficiently and accurately, even within limited time frames.

What is a Weekend Data Science job?

A Weekend Data Science job typically refers to a part-time or contract-based data science position where the primary work hours are on weekends. These roles are ideal for students, professionals seeking extra income, or those looking to gain experience in the data science field without committing to a full-time weekday schedule. Weekend data scientists analyze data, build models, and generate insights just like full-time data scientists but with flexible or reduced hours that fit around a weekend schedule.

What are some typical challenges faced by data scientists working specifically on weekends, and how can they be managed?

Data scientists working weekend shifts often encounter challenges such as limited access to colleagues for collaboration or support, since many team members may not be available outside standard business hours. Additionally, urgent issues or data anomalies may require quick, independent problem-solving. Proactive communication with weekday teams, thorough documentation, and setting up clear protocols for handoffs can help manage these challenges and ensure smooth workflow continuity.

What is the difference between Weekend Data Science vs Part-Time Data Analyst?

AspectWeekend Data SciencePart-Time Data Analyst
CredentialsTypically requires a degree in data science, statistics, or related fieldOften requires a degree or relevant experience in data analysis or related fields
Work EnvironmentProject-based, flexible hours, often remote or on-site during weekendsFlexible hours, may be remote or on-site, often with less technical complexity
Industry UsageUsed in tech, finance, healthcare, and startups for specialized projectsCommon in retail, marketing, and small businesses for routine data tasks

Weekend Data Science roles focus on complex data projects requiring advanced skills, often during weekends, while Part-Time Data Analysts handle routine data tasks with less technical depth, offering flexible schedules. Both roles serve different needs but share a focus on data work outside standard hours.

What are the most commonly searched types of Data Science jobs in Maryland? The most popular types of Data Science jobs in Maryland are:
What are popular job titles related to Weekend Data Science jobs in Maryland? For Weekend Data Science jobs in Maryland, the most frequently searched job titles are:
What job categories do people searching Weekend Data Science jobs in Maryland look for? The top searched job categories for Weekend Data Science jobs in Maryland are:
What cities in Maryland are hiring for Weekend Data Science jobs? Cities in Maryland with the most Weekend Data Science job openings:
Weekend Data Science jobs near you
Infographic showing various Weekend Data Science job openings in Maryland as of July 2026, with employment types broken down into 1% As Needed, 77% Full Time, 15% Part Time, and 7% Contract. Highlights an 80% Physical, 4% Hybrid, and 16% Remote job distribution.
Data Science Practitioner

Data Science Practitioner

Accenture Federal Services

Annapolis Junction, MD

Other

Posted 29 days ago

Accenture Federal Services rating

8.4

Company rating: 8.4 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

59th of 488 rated business services

Job description

Accenture Federal Services is looking for a highly motivated and skilled Data Scientist/AI Specialist to join our innovative team. The ideal candidate will possess a strong background in programming, statistical analysis, machine learning, and data preparation, ensuring effective data analysis and informed decision-making.

What you'll do:

  • Develop and implement data-driven solutions using programming languages such as Python and R
  • Conduct statistical analyses, including regression, hypothesis testing, and distribution analysis, to interpret data accurately
  • Design and train machine learning models using frameworks like TensorFlow and Scikit-Learn for predictive analytics and automation
  • Perform data wrangling to clean and organize raw datasets, making them ready for meaningful analysis
  • Collaborate with cross-functional teams to understand business needs and deliver actionable insights

What you'll need:

  • Bachelor's degree from an accredited college or university in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering or computer science)
    • 4 years of experience in software development, cloud development, analyzing datasets, or developing descriptive, predictive, and prescriptive analytics can be substituted for a Bachelor's degree
    • A PhD from an accredited college or university in a quantitative discipline can be substituted for four 4 years of experience
  • 14 years of experience in software engineering in similar programs and contracts 
  • 5 years of experience programming with data analysis software such as R, Python, SAS, or MATLAB

Bonus points if you have:

  • Familiarity with libraries like NumPy, pandas, and advanced visualization tools
  • Experience analyzing datasets and developing analytics 
  • Experience in creating impactful data visualizations and reports for stakeholders
  • Ability to work independently and in a collaborative team environment
  • Strong foundation in statistics and probability, including regression analysis and hypothesis testing
  • Hands-on experience with machine learning frameworks such as TensorFlow and Scikit-Learn
  • Expertise in data wrangling to prepare raw data for analysis
  • Excellent problem-solving and analytical skills

Security Clearance:

  • Must have an active TS/SCI with polygraph level clearance

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