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Weekend Data Science Jobs in Clarksburg, WV (NOW HIRING)

SiloSmashers

Data Analyst- WV

Clarksburg, WV

Role Summary Provides hands-on data review, quality checks, ingestion validation, and routine analytic support for national crime-reporting datasets. Works closely with program staff to ensure data ...

SiloSmashers

Data Analyst- WV

Clarksburg, WV · On-site

Role Summary Provides hands-on data review, quality checks, ingestion validation, and routine analytic support for national crime-reporting datasets. Works closely with program staff to ensure data ...

SiloSmashers

Data Analyst- WV

Clarksburg, WV · On-site

Role SummaryProvides hands-on data review, quality checks, ingestion validation, and routine analytic support for national crime-reporting datasets. Works closely with program staff to ensure data ...

NECCO

Initial Licensing Specialist

Fairmont, WV · On-site

Use data to collaborate with staff, foster parents, and community-based influencers to develop and ... Ensure inquiry responses are within 24 hours (excludes weekends) Certification * Lead the charge on ...

Necco, LLC

Initial Licensing Specialist

Fairmont, WV · On-site

Use data to collaborate with staff, foster parents, and community-based influencers to develop and ... Ensure inquiry responses are within 24 hours (excludes weekends) Certification * Lead the charge on ...

Necco

Initial Licensing Specialist

Fairmont, WV · On-site

Use data to collaborate with staff, foster parents, and community-based influencers to develop and ... Ensure inquiry responses are within 24 hours (excludes weekends) Certification * Lead the charge on ...

WVU Medicine

UHC - RN (OR Weekends)

Bridgeport, WV · On-site

EDUCATION, CERTIFICATION, AND/OR LICENSURE: 1. Bachelors of Science in Nursing Degree (BSN). CORE ... Other duties may be assigned. 1. Modifies patient's plan of care based on data collection and ...

All JobsData Science JobsWeekend Data Science JobsWeekend Data Science Jobs in Clarksburg, WV

Weekend Data Science information

See Clarksburg, WV salary details

$36.8K

$120.4K

$192.8K

How much do weekend data science jobs pay per year?

As of Sep 4, 2026, the average yearly pay for weekend data science in Clarksburg, WV is $120,416.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,600.00 and $133,400.00 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 Clarksburg, WV?

The most popular types of Data Science jobs in Clarksburg, WV are:

What job categories do people searching Weekend Data Science jobs in Clarksburg, WV look for?

The top searched job categories for Weekend Data Science jobs in Clarksburg, WV are:

Weekend Data Science jobs near you

Data Scientist / Statistical Analyst

SiloSmashers

Clarksburg, WV • On-site

Full-time

Re-posted 7 days ago

Job description

Role SummaryProvides statistical modeling, data analysis, estimation procedures, and analytical review for national crime-reporting datasets. Supports data-quality evaluations, special-report analysis, dashboard development, and analysis of data transitions between reporting systems.Key DutiesPerform statistical analysis, data modeling, trend detection, and estimation procedures.Evaluate the transition from summary-based systems to incident-based systems.Review public data releases and recommend improvements to statistical products.Analyze the movement of data from source systems into public-access tools.Develop dashboards and visualizations using Power BI.Support methodologies for estimation when reporting thresholds are not met.Analyze RMS-derived data for anomalies, patterns, and system-driven inconsistencies.Present data findings to program leadership and stakeholders.Required QualificationsTop ScretBachelor's degree in Statistics, Data Science, Mathematics, or related discipline.Strong Power BI skills (data modeling, DAX, visualizations).Experience working with structured data, XML, and flat-file formats.Preferred QualificationsExperience with national crime-reporting datasets or criminal-justice statistical programs.Familiarity with OMB data-quality guidelines.Knowledge of law-enforcement Records Management Systems (RMS). 
Job Posted by ApplicantPro