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Weekend Data Science Jobs in West Virginia (NOW HIRING)

Data Scientist Principal

WV · On-site +1

$144K - $195K/yr

Data Science and Data Engineering Job Qualifications: Skills: Artificial Intelligence (AI), Big Data, Data Engineering Certifications: None Experience: 8 + years of related experience US Citizenship ...

Data Science and Data Engineering Job Qualifications: Skills: Big Data, Data Analytics, Health Data, Structured Query Language (SQL) Development Certifications: None Experience: 7 + years of related ...

Senior Data Scientist

Kearneysville, WV · On-site

$133K - $169K/yr

Experience developing, training, and deploying enterprise-level machine learning models and data science solutions using Python. * Proven experience building and maintaining large-scale data ...

Data Science and Data Engineering Job Qualifications: Skills: Python (Programming Language), R Programming, Science Certifications: None Experience: 2 + years of related experience US Citizenship ...

Data Science and Data Engineering Job Qualifications: Skills: Agentic AI, Big Data, Generative AI, Machine Learning Methods, Python (Programming Language) Certifications: None Experience: 5 + years ...

Data Science and Data Engineering Job Qualifications: Skills: Amazon Web Services (AWS), Healthcare Claims, Predictive Modeling, Python (Programming Language), Supervised Learning Certifications:

Stay current with emerging technologies, tools, and best practices in forecasting, statistics, and data science. * Explore customer needs and help identify ways to add value. Qualifications Required ...

New

This is a hands-on, build-and-ship role on the Data Science team, working in close partnership with ML Ops, Data Engineering, and Marketing/Product. You'll help create a unified, resolved view of ...

Advanced degree in Statistics, Mathematics, Computer Science, Data Science, or a related quantitative field * 5+ years in data science or analytical research roles, with a track record of delivering ...

Required : • Bachelor's degree in Computer Information Technology, Data Science, Statistics or a related field • 3 year + Database experience - SQL/Query design and execution. • 2 year ...

Analytics Engineer

WV · On-site +1

$127K - $172K/yr

Data Science and Data Engineering Job Qualifications: Skills: Data Modeling, GitLab CI/CD ... The candidate may be required to work outside of business hours, including weekends, based on need.

Senior Data Analyst

Charleston, WV · On-site

$100K - $120K/yr

At MJH Life Sciences our success is measured by your success! If you set your standards high and ... The Senior Data Analyst will mentor junior analysts, collaborate with cross-functional teams, and ...

WV · On-site

$200K/yr

Work with ML engineers, data scientists, and product managers to translate model requirements into well-structured labeling tasks. Challenge teams on task design when labeling instructions are ...

Data Engineer, Security

WV · 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 ...

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Showing results 1-20

Weekend Data Science information

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 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 Scientist Principal

GDIT

WV • On-site, Remote

$144K - $195K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago


General Dynamics Information Technology rating

7.8

Company rating: 7.8 out of 10

Based on 63 frontline employees who took The Breakroom Quiz

88th of 226 rated it services


Job description

Type of Requisition:

Regular

Clearance Level Must Currently Possess:

None

Clearance Level Must Be Able to Obtain:

None

Public Trust/Other Required:

BI Full 6C (T4)

Job Family:

Data Science and Data Engineering

Job Qualifications:

Skills:

Artificial Intelligence (AI), Big Data, Data Engineering

Certifications:

None

Experience:

8 + years of related experience

US Citizenship Required:

No

Job Description:

Build the AI/ML solutions that help our clients turn data into action as a Data Scientist Principal at GDIT. Your work will deliver transformative solutions to our clients' big data obstacles and help advance the mission. Here, you can make a meaningful impact on our clients' mission and on your career.

At GDIT, people are our differentiator. GDIT Technology Shared Services (TSS) is seeking a Data Scientist Principal to transform how government agencies use data. Our work depends on a hands-on data scientist joining our team to design and implement artificial intelligence solutions supporting the Centers for Medicare & Medicaid Services (CMS) Hosting, Operations & Maintenance (HOM) program.

HOW THE DATA SCIENTIST PRINCIPAL WILL MAKE AN IMPACT:

  • Accelerate our work by integrating advanced AI capabilities across our suite
  • Accelerate the use of and evaluate the efficacy of AI coding tools across the team
  • Implement both custom-built and vendor/COTS AI solutions, hands-on, from prototype through production
  • Design and implement AI solutions for automated program accomplishment tracking and reporting, including intelligent classification systems and proactive knowledge management
  • Implement generative AI (GenAI) with large language models (LLMs) and retrieval augmented generation (RAG) to deliver precise, data-driven responses
  • Build an agentic framework enabling service ticket management, account administration, and intelligent journey orchestration

WHAT YOU'LL NEED TO SUCCEED:

  • Education: Master's Degree in Computer Science, Data Science, Statistics, or related field (or equivalent experience)
  • Experience: 8+ years of experience as a data scientist with a proven track record of deploying AI/ML production solutions required
  • Strong AI/ML coding ability, with the capability to implement both custom and vendor-based solutions independently and use of AI coding tools
  • Experience with generative AI (GenAI) using large language models (LLMs)
  • Strong foundation in machine learning, statistical analysis, and experimental design with both quantitative and qualitative data
  • Expertise in AI/ML cloud technologies (preferably on AWS, including Bedrock, Lambda, and SageMaker)
  • Experienced with Python data science stack (Pandas, NumPy, scikit-learn, PyTorch/TensorFlow) and SQL
  • Experience integrating AI solutions with legacy enterprise systems and orchestration platforms
  • Experience in establishing and scaling AI/ML programs, developing roadmaps, and increasing user/tool adoption
  • Familiarity with data engineering, ETL processes, data pipelines, and APIs
  • Strong communication skills with the ability to translate technical concepts to stakeholders and leadership
  • Ability to supervise and mentor other AI/ML Data Scientists

Security Clearance Level: Must be able to pass a background check to obtain a position of Public Trust

Location: Remote


GDIT IS YOUR PLACE
At GDIT, the mission is our purpose, and our people are at the center of everything we do.

Growth: AI-powered career tool that identifies career steps and learning opportunities
Support: An internal mobility team focused on helping you achieve your career goals
Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off
Flexibility: Full-flex work week to own your priorities at work and at home
Community: Award-winning culture of innovation and a military-friendly workplace
OWN YOUR OPPORTUNITY
Explore a career in data science and engineering at GDIT and you'll find endless opportunities to grow alongside colleagues who share your determination for solving complex data challenges.

#GDITLA

The likely salary range for this position is $144,500 - $195,500. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.

Scheduled Weekly Hours:

40

Travel Required:

Less than 10%

Telecommuting Options:

Remote

Work Location:

Any Location / Remote

Additional Work Locations:

Total Rewards at GDIT:

Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vacations, personal business, and illness and an additional 10 paid holidays per year. Paid leave and paid holidays are prorated based on the employee's date of hire. The GDIT Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.

Our Identity Verification Process:

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.

About Our Work:

We are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50+ countries worldwide, offering leading mission-ready capabilities in AI, cloud, cyber and software development.Join our Talent Community to stay up to date on our career opportunities and events at

gdit.com/tc.

Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

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About General Dynamics Information Technology

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GDIT is a global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense, and intelligence community. Its 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. The company operates across 50+ countries worldwide, offering leading capabilities in digital modernization, AI/ML, cloud, cyber, and application development.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Falls Church, VA, US