ZipRecruiter

Log In

1

Weekend Data Science Jobs in Columbia, MD (NOW HIRING)

Compunnel

Finance Data Science Advisor

Reston, VA · On-site

The Finance - Data Science - Advisor role will provide flexibility while working alongside cross-functional teams to support Multifamily CECL and DFAST/forecasting processes within the Finance ...

Blend360

Associate Director of Data Science

Columbia, MD · On-site

$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 ...

Bytoa

Data Science Software Engineer

Columbia, MD · On-site

$185 - $200/hr

Join us as a Data Scientist supporting a high-impact mission. We are looking a motivated and mission-driven engineer and scientist to help develop and shape how SIGINT data is processed, modeled, and ...

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 ...

YO AI Labs

AI Data Science Expert - Remote

Washington, DC · Remote

$100 - $200/hr

AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative ...

previous pagenext page

Showing results 21-40

All JobsData Science JobsWeekend Data Science JobsWeekend Data Science Jobs in Columbia, MD

Weekend Data Science information

See Columbia, MD salary details

$37.2K

$121.8K

$195K

How much do weekend data science jobs pay per year?

As of Aug 22, 2026, the average yearly pay for weekend data science in Columbia, MD is $121,805.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,800.00 and $135,000.00 per year, depending on experience, location, and employer.

What is a weekend data science?

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 skills and qualifications are needed to thrive as a weekend data scientist?

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 challenges do data scientists working on weekends face, 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.

Do weekend data scientists work on weekends?

Weekend data scientists may work on weekends depending on project deadlines, company policies, or client needs. Typically, data science roles involve regular weekday hours, but some positions require weekend work, especially in roles with flexible or project-based schedules. It is important to clarify work hours during the hiring process or in job descriptions.

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

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

What are popular job titles related to Weekend Data Science jobs in Columbia, MD?

For Weekend Data Science jobs in Columbia, MD, the most frequently searched job titles are:

What job categories do people searching Weekend Data Science jobs in Columbia, MD look for?

The top searched job categories for Weekend Data Science jobs in Columbia, MD are:

What cities near Columbia, MD are hiring for Weekend Data Science jobs?

Cities near Columbia, MD with the most Weekend Data Science job openings:

Weekend Data Science jobs near you

Finance Data Science Advisor

Compunnel

Reston, VA • On-site

Contractor

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

*]:pointer-events-auto R6Vx5W_threadScrollVars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]" dir="auto" data-turn-id="request-6a74975d-6230-83e8-804d-f71908b1f283-2" data-turn-id-container="request-6a74975d-6230-83e8-804d-f71908b1f283-2" data-testid="conversation-turn-434" data-turn="assistant">
Job Summary:
The Finance - Data Science - Advisor role will provide flexibility while working alongside cross-functional teams to support Multifamily CECL and DFAST/forecasting processes within the Finance organization. The role will leverage advanced mathematical, analytical, econometric, and statistical modeling techniques to develop algorithms, predictive analytics, and insights that support risk measurement, financial valuation, decision-making, and business performance.
Key Responsibilities:
• Use advanced mathematical, analytical, or econometric tools to create algorithms and analyses supporting Multifamily CECL and DFAST/forecasting processes.
• Research and evaluate model results and perform credit-related analyses for expected and stress scenarios, including CECL/DFAST.
• Coordinate team activities with product and/or business owners, data engineers, and platform teams to understand business needs, current capabilities, data availability, and alternative uses.
• Apply statistical modeling capabilities across disciplines including computer science, computational science and methods, statistics, econometrics, data optimization, and data visualization.
• Build predictive analytic capabilities to enhance the delivery of business applications and support the integration of data and statistical models or algorithms.
• Apply innovative industry practices in research and testing to product development, deployment, and maintenance.
• Oversee the design and build of new modeling applications supporting risk measurement, financial valuation, decision-making, and business performance.
• Communicate complex ideas and solutions effectively to business partners through data visualizations, technical documentation, and non-technical presentation materials.
Required Qualifications:
• 6+ years of relevant experience.
• Strong programming experience, including coding and debugging using languages such as Python, R, SQL, or similar.
• Strong analytical and problem-solving skills to conduct and manage analysis addressing complex business problems.
• Experience analyzing data to identify trends or relationships and generate business insights.
• Expertise in visualizing data to identify, summarize, and explain observed data patterns.
• Ability to direct and evaluate technical aspects of data analysis and research while maintaining focus on broader business impacts.
• Strong written and verbal communication skills.
• Ability to build and maintain strong business relationships with business partners and stakeholders.
Preferred Qualifications:
• Bachelor's degree or equivalent.
• Master's degree or equivalent in Data Science, Applied Economics, Statistics, or a similar graduate field.
• Familiarity with advanced techniques including machine learning and natural language processing (NLP).
• Prior quantitative and finance training, including forecasting and stress testing (DFAST) knowledge.
• Experience managing and engaging stakeholders, partners, customers, and relationship networks.
• Experience with R programming, Tableau, Python, SQL, DBeaver SQL client software, and BitBucket.
_:empty]:hidden">
Compunnel logo

About Compunnel

Sourced by ZipRecruiter

Compunnel is a well-known company located in Plainsboro, NJ, US, recognized in the industry of IT Services and Solutions. Established in 1989, Compunnel offers a suite of services that help businesses integrate technology efficiently into their operations, a recognizable name in the IT solutions sphere for over three decades. The company’s service portfolio includes Digital Transformation, Business Intelligence, Cloud Services, Cybersecurity, and Application Modern Services, among others. Guided by its mission "to innovate with industry-leading digital solutions and disruptive tech strategies for unimagining business growth," the company underlines its commitment to offering out-of-the-box solutions to its clients. Remarkable achievements of the company include serving more than 30 Fortune 500 companies and providing job opportunities for over 50,000 individuals.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

1994

Social media

FacebookTwitter

View All Compunnel Jobs

Apply