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Weekend Data Science Jobs in Georgia (NOW HIRING)

Apply data science techniques - regression, NLP, clustering, neural networks, deep learning, image recognition - to geospatial problems * Develop and employ algorithms supporting GEOINT mission ...

Integrate data science solutions into existing workflows and software systems. * Data Security : Ensure data privacy by implementing appropriate security measures. * Documentation : Maintain clear ...

Lead the development and successful delivery of data science and generative AI solutions in accordance with business requirements. * Production Oversight: Monitor solutions in production to ensure ...

Apply data science techniques -- regression, NLP, clustering, neural networks, deep learning, image recognition -- to geospatial problems * Develop and employ algorithms supporting GEOINT mission ...

Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc. Excellence in at least one of these is highly desirable * Great communication skills * Experience with data ...

Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc. Excellence in at least one of these is highly desirable * Great communication skills * Experience with data ...

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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 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 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 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 Georgia? The most popular types of Data Science jobs in Georgia are:
What cities in Georgia are hiring for Weekend Data Science jobs? Cities in Georgia with the most Weekend Data Science job openings:
Infographic showing various Weekend Data Science job openings in Georgia as of May 2026, with employment types broken down into 1% As Needed, 88% Full Time, 10% Part Time, and 1% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution.

Expert Data Scientist

GeoYeti

Augusta, GA • On-site

Full-time

Posted 17 days ago


Job description

Overview
Expert Data Scientist
Augusta, GA
Active TS/SCI
At Bcore, our strength comes from how we deliver impact to the mission. Whether it's architecting critical IT solutions, producing actionable intelligence, or developing cutting edge technology, we succeed because of the expertise, collaboration, and agility of our teams. Our Insight Solutions division delivers intelligence analysis, advanced data science, and strategic decision support.Bcore accelerates decisive advantage for warfighters and intelligence professionals by fusing human insight, rapid-fire engineering, precision-measured outcomes, and relentless grit into mission-ready solutions.
Are you ready to lean into analytic approaches that show customers the power of both technical and methodological innovation? Join our growing team supporting customer missions as a Expert Data Scientist in Augusta, GA.
Responsibilities
  • Apply data science techniques - regression, NLP, clustering, neural networks, deep learning, image recognition - to geospatial problems
  • Develop and employ algorithms supporting GEOINT mission outcomes
  • Build tabular, SQL, and scripted analytic workflows (Python, R, Julia) to surface unique insights
  • Integrate geographic and geospatial scientific principles into model design and analysis
  • Deliver new analytic capability using agile frameworks (Scrum, Kanban, Lean)
  • Produce written reports, graphics, and briefings for technical and senior audiences

Qualifications
Required Qualifications:
  • Active TS/SCI clearance

Education + Experience (one of the following):
  • MA/MS from an accredited institution in a STEM-related discipline + 5 years relevant experience, OR
  • BA/BS in a STEM-related discipline + 10 years relevant experience

Technical Skills
  • Demonstrated mastery of geographic and geospatial scientific principles, tools, and analytical techniques across most prior experience
  • Proficiency in data science techniques: logistic regression, vector analysis, NLP, PCA, clustering, neural networks, deep learning, image recognition, and algorithm development
  • Proficiency in tabular analysis, SQL, and scripting languages (Python, R, Julia, or equivalent)
  • Familiarity with agile project management frameworks (Scrum, Kanban, Lean)

Collaboration
  • Ability to deliver new analytic capability in iterative, team-based environments
  • Strong written and verbal communication for technical and non-technical audiences

Desired Qualifications:
  • Experience with IT, business, or operational metrics platforms (Splunk, Elastic, Confluence)
  • AWS AI/ML Specialty certification
  • Knowledge of the NSG TCPED (Tasking, Collection, Processing, Exploitation, Dissemination) production chain
  • Experience in a DoD or IC operational environment, including work with DoD/IC geospatial data repositories
  • Familiarity with Army, DoD, or IC GEOINT/geospatial processes, policy, and programs
  • Proficiency with Microsoft Office for reports, graphics, and briefings

What you can expect from us
BCore is proud to be an equal opportunity workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation or any other characteristic protected by law.