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Weekend Data Science Jobs in West Virginia (NOW HIRING)

Data Engineer, Security

WV ยท On-site +1

$163K/yr

You will be the go-to partner for Stakeholders, Research team and Data Science team requiring Cyber Security related Data. As a Data Engineer, you will design and develop our data lifecycle ...

WV ยท On-site

Data Science and Data Engineering Job Qualifications: Skills: Data Analytics, Data Warehousing (DW), Enterprise Data, Relational Data Modeling Certifications: None Experience: 10 + years of related ...

WV ยท On-site

$103K - $123K/yr

Data Science and Data Engineering Job Qualifications: Skills: Data Analysis, Data Analytics, Data Lake, Data Warehousing (DW) Certifications: None Experience: 7 + years of related experience US ...

Positions are available on days, evenings, and weekends. Part-time positions may not be for an ... data and figures; transcribing; viewing a computer terminal; extensive reading; and/or visual ...

Positions are available on days, evenings, and weekends. Part-time positions may not be for an ... data and figures; transcribing; viewing a computer terminal; extensive reading; and/or visual ...

Bachelor's degree in Computer Science, Information Technology, Data Science, Artificial ... Evening or weekend availability may be required. NWACC is an Equal Opportunity Employer, please see ...

Bachelor's degree in Computer Science, Information Technology, Data Science, Artificial ... Evening or weekend availability may be required. NWACC is an Equal Opportunity Employer, please see ...

Sr. Healthcare Data Analyst (Medicaid)

WV ยท Remote

$110K - $149K/yr

Data Science and Data Engineering Job Qualifications: Skills: Big Data, Data Analytics, Statistical Analysis Certifications: None Experience: 5 + years of related experience US Citizenship Required:

Positions are available on days, evenings, and weekends. Part-time positions may not be for an ... data and figures; transcribing; viewing a computer terminal; extensive reading; and/or visual ...

Positions are available on days, evenings, and weekends. Part-time positions may not be for an ... data and figures; transcribing; viewing a computer terminal; extensive reading; and/or visual ...

Showing results 21-40

Weekend Data Science information

Do weekend data scientists work on weekends?

Weekend data scientists may work on weekends if their projects or deadlines require it, but many roles follow a standard weekday schedule. Flexibility depends on the employer, project needs, and whether the position involves on-call or urgent tasks. Typically, data science roles are performed during regular business hours, but some positions may require weekend work for data collection, analysis, or reporting.

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 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 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.

What are the most commonly searched types of Data Science jobs in West Virginia? The most popular types of Data Science jobs in West Virginia are:
What are popular job titles related to Weekend Data Science jobs in West Virginia? For Weekend Data Science jobs in West Virginia, the most frequently searched job titles are:
What job categories do people searching Weekend Data Science jobs in West Virginia look for? The top searched job categories for Weekend Data Science jobs in West Virginia are:
What cities in West Virginia are hiring for Weekend Data Science jobs? Cities in West Virginia with the most Weekend Data Science job openings:

Data Engineer, Security

Coalition, Inc.

WV โ€ข On-site, Remote

$163K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 6 days ago


Job description

About the role

We are hiring a Data Engineer to build our data platform across our Cyber Security value chain. This includes Security and Sales management. You will be the go-to partner for Stakeholders, Research team and Data Science team requiring Cyber Security related Data.

As a Data Engineer, you will design and develop our data lifecycle, transforming raw data into high-performance data products. You will build and scale our Medallion Architecture on Snowflake, utilizing dbt to ensure our data is clean, modeled, and ready for both business intelligence in Looker and advanced AI/ML applications.

Responsibilities
  • Data Modeling & Architecture: Design and implement robust Star Schema models within a Medallion Architecture (Bronze/Silver/Gold) to support complex Cyber Insurance and Cyber Security analytics .
  • Pipeline Engineering: Build scalable ELT pipelines using Snowflake and dbt, ensuring high data quality and observability .
  • Monitoring & Observability: Define and implement critical SLIs-specifically around data freshness, volume, and schema integrity. Build automated alerting to ensure SLOs are met .
  • BI Enablement: Develop and maintain the LookML semantic layer for business stakeholders .
  • Security & Compliance: Implement data masking, RBAC, and secure data handling practices .
  • Engineering Excellence & Mentorship: Act as a technical peer helping the team level up through Code Reviews and sharing dbt/Python best practicesย 
  • AI Integration: Build feature stores and data foundations for AI-driven risk scoring and automated underwriting.
Skills and Qualifications
  • BI Tools: Experience with Looker (LookML) .
  • Modern Tooling: Active user of Cursor or other AI-assisted coding environments .
  • Industry Experience: Prior experience in Cybersecurity or Cyber Insurance .
  • AI/ML Interest: Experience building data foundations for AI Agents.
Compensation

Our compensation reflects the cost of labor across several US geographic markets. The US base salary for this position ranges from $110,900/year in our lowest geographic market up to $163,350/year in our highest geographic market. Consistent with applicable laws, an employee's pay within this range is based on a number of factors, which include but are not limited to relevant education, skills, job-related knowledge, qualifications, work experience, credentials, and/or geographic location. Your recruiter can share more on target salary for your location during the interview process. Coalition, Inc. reserves the right to modify this range as needed.

Perks
  • 100% medical, dental and vision coverage
  • Flexible PTO policy
  • Annual home office stipend and WeWork access
  • Mental & physical health wellness programs (One Medical, Headspace, Wellhub, and more)!
  • Competitive compensation and opportunity for advancement