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Weekend Data Science Jobs in Athens, GA (NOW HIRING)

COLEMAN CONSULTING GROUP LLC

Data Scientist

Athens, GA · On-site

A bachelor's degree in Chemistry, Biology, or Environmental Science * Strong understanding of data collection and analysis * Strong troubleshooting and analytical skills * Ability to work well as ...

Element Materials Technology

Data Processor

Athens, GA · On-site

Element has an opportunity for a Data Processor to join our rapidly expanding team. As a member of the operations team in one of the various laboratories across Element, the Data Processer position ...

Bespoke Labs

Data Engineer

Athens, GA · On-site

$95K - $115K/yr

About Us We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have ...

Piney Technical Services

Animal Research Technician

Athens, GA · On-site

$17.50 - $24/hr

... weekend hours - it would also be possible to work holidays & other times during the week if ... In addition, this individual conducts scientific procedures in accordance with study protocols ...

New

Synectics

QC Microbiology Technician

Social Circle, GA · On-site

$27.50 - $36/hr

Maintain data integrity and ensure compliance with company SOPs and specifications, FDA, GLP, QSR ... Bachelor's Degree in Chemistry, or Biological Science with Analytical Chemistry or Microbiology ...

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Weekend Data Science information

See Athens, GA salary details

$36.2K

$118.5K

$189.7K

How much do weekend data science jobs pay per year?

As of Aug 14, 2026, the average yearly pay for weekend data science in Athens, GA is $118,514.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,100.00 and $131,300.00 per year, depending on experience, location, and employer.

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 Athens, GA?

The most popular types of Data Science jobs in Athens, GA are:

What are popular job titles related to Weekend Data Science jobs in Athens, GA?

For Weekend Data Science jobs in Athens, GA, the most frequently searched job titles are:

What job categories do people searching Weekend Data Science jobs in Athens, GA look for?

The top searched job categories for Weekend Data Science jobs in Athens, GA are:

What cities near Athens, GA are hiring for Weekend Data Science jobs?

Cities near Athens, GA with the most Weekend Data Science job openings:

Weekend Data Science jobs near you
Infographic showing various Weekend Data Science job openings in Athens, GA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $118,514 per year, or $57 per hour.

Data Scientist

COLEMAN CONSULTING GROUP LLC

Athens, GA • On-site

Full-time

Re-posted 11 days ago

Job description

Benefits/Perks
  • Competitive Compensation
  • Flexible Scheduling
  • Career Growth Opportunities
Job Summary
We are seeking a detail-oriented Data Scientist to join our team. As a Data Scientist, you will analyze large amounts of raw data to discover patterns and insights that will help to improve our company. We will rely on you to collect and analyze data, build models, and present your findings in an easy-to-understand manner. The ideal candidate has an analytical mind and a passion for data. 
Responsibilities 
  • Analyze large amounts of raw data to discover trends and patterns
  • Discover valuable business insights and propose new approaches to challenges
  • Automate the data collection process
  • Identify valuable data sources
  • Present information in an easily digestible format
  • Collaborate with other teams within the organization
  • Plans, conducts, and supervises subtasks on a project-by-project basis, working to meet completion dates.
  •  May provide direct assistance, review progress, and evaluate results of junior staff and make changes in methods or project design where necessary. 
  • These individuals make independent technical decisions, seeking advice from management as needed.
  • Possesses knowledge, skills, and abilities to conduct their primary assigned tasks such as evaluating analytical instrument  (e.g., GC, GC/MS, GC/HRMS, HPLC, ICP/AES, ICP/MS) outputs, reviews and verifies environmental laboratory data for accuracy, completeness, and compliance with quality standards and regulatory guidelines. 
  • Key responsibilities include performing data validation, writing validation reports, using databases to manage data, checking quality control results, and communicating with project teams and laboratories.
Qualifications
  • A bachelor’s degree in Chemistry, Biology, or Environmental Science
  • Strong understanding of data collection and analysis
  • Strong troubleshooting and analytical skills
  • Ability to work well as part of a team
  • Strong written and verbal communication skills
  • Minimum of 6 years of experience

Flexible work from home options available.