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Weekend Data Science Jobs in Georgia (NOW HIRING)

neptune technologies

Senior Data Scientist

Duluth, GA · On-site

You will collaborate with Product Management and Engineering teams to translate business requirements into data science solutions, mentor junior data scientists, and drive Neptune's AI transformation ...

Neptune

Senior Data Scientist

Duluth, GA · On-site

You will collaborate with Product Management and Engineering teams to translate business requirements into data science solutions, mentor junior data scientists, and drive Neptune's AI transformation ...

Home Depot

Data Scientist, Online

Atlanta, GA · On-site

Based on the specific data science team, this role would need to be knowledgeable in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP. As ...

4pconsultinginc

Data Scientist II

Atlanta, GA · On-site

Align data science initiatives with strategic business objectives Governance & Ethics * Ensure ethical data practices and compliance with data privacy regulations * Maintain documentation and ...

Home Depot

Data Scientist - GenBI

Atlanta, GA · On-site

Based on the specific data science team, this role would need to be knowledgeable in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP. As ...

Home Depot

Senior Data Scientist, Online

Atlanta, GA · On-site

Based on the specific data science team, this role would need to be Proficient in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP. As a ...

Home Depot

Associate Data Scientist

Atlanta, GA · On-site

$56.10K - $56.50K/yr

Based on the specific data science team, this role may need to develop skills in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP. As an ...

Home Depot

Associate Data Scientist

Atlanta, GA · On-site

$56.10K - $56.50K/yr

Based on the specific data science team, this role may need to develop skills in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP. As an ...

Veritiv Corporation

Data Scientist

Sandy Springs, GA · On-site

... data science initiatives that drive business profitability, increase efficiencies and improve customer experience. This role applies industry-leading analytical methodologies for working with large ...

GeoYeti

Expert Data Scientist

Augusta, GA

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

Home Depot

Sr Data Scientist - Supply Chain

Atlanta, GA · On-site

Based on the specific data science team, this role would need to be Proficient in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP. As a ...

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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 are popular job titles related to Weekend Data Science jobs in Georgia? For Weekend Data Science jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Weekend Data Science jobs in Georgia look for? The top searched job categories for Weekend 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:
Weekend Data Science jobs near you
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.
Senior Data Scientist

Senior Data Scientist

neptune technologies

Duluth, GA • On-site

Full-time

Posted 9 days ago

Job description

Position Summary
As a Senior Data Scientist, you will be responsible for designing and implementing machine learning models and data-driven solutions that enhance our water utility intelligence platform and create value for our customers. This position involves working with large-scale IoT data from millions of water meters, developing predictive analytics capabilities, and deploying AI solutions into production environments. You will collaborate with Product Management and Engineering teams to translate business requirements into data science solutions, mentor junior data scientists, and drive Neptune's AI transformation initiatives. This role provides direct impact on utility operations, water conservation efforts, and customer service improvements.

Responsibilities

• Effectively communicate and articulate decisions, designs, and outcomes to stakeholders at all levels of the organization.
• Work with cross-functional teams to deliver high-quality machine learning models and data science solutions.
• Understand and enhance requirements defined by Product Management for AI-powered features.
• Design and implement machine learning models for water consumption forecasting, anomaly detection, leak detection, and predictive maintenance.
• Develop and deploy production-ready machine learning pipelines on cloud infrastructure (AWS).
• Analyze large-scale time-series data from IoT devices and water utility operations.
• Build and optimize data processing workflows using PySpark and distributed computing frameworks.
• Create data visualizations and analytics dashboards to communicate insights to stakeholders.
• Conduct exploratory data analysis to identify patterns, trends, and opportunities in metering data.
• Perform feature engineering and model selection to optimize predictive performance.
• Evaluate model performance and implement monitoring solutions for production ML systems.
• Collaborate with software engineers to integrate ML models into the Neptune 360 platform.
• Provide technical guidance to Product Management on data science capabilities and feasibility.
• Document data science methodologies, model architectures, and analytical findings.
• Stay current with latest developments in machine learning, AI, and data science best practices.
• Mentor junior data scientists and disseminate technical knowledge within the organization.
• Review code and model implementations of other team members.
• Participate in sprint planning and demonstrate completed work at the end of every iteration.
• Work with Python, SQL, PySpark, AWS services (SageMaker, Bedrock, Lambda, Redshift), and ML frameworks.
• Contribute to Neptune's AI strategy and identify new opportunities for data-driven innovation.

Experience
• 5+ years of experience in data science, machine learning, or related analytical roles.
• 5+ years of experience with Python and data science libraries (pandas, NumPy, scikit-learn, TensorFlow/PyTorch).
• Strong experience with SQL and working with large-scale databases (Redshift, PostgreSQL, MySQL).
• Experience with PySpark and distributed computing frameworks for large-scale data processing, including working with common data formats such as JSON and Parquet.
• Proven track record of deploying machine learning models to production environments.
• Experience with cloud platforms, preferably AWS (SageMaker, Bedrock, Lambda, S3, Redshift).
• Experience with time-series analysis and forecasting methods.
• Understanding of MLOps practices and model lifecycle management.
• Experience building RESTful APIs for model serving.
• Strong statistical analysis and experimental design skills.
• Experience with data visualization tools and techniques.
• Experience working in Agile/iterative development environments.
• Ability to communicate complex technical concepts to non-technical stakeholders.
• Experience with version control systems (Git) and CI/CD pipelines.
• Continued professional self-improvement through courses, certifications, or research.
• Preferred: Experience with AWS big data services (Glue, EMR, Athena).
• Preferred: Experience with IoT data, utility operations, or water management systems.
• Preferred: Experience with generative AI and large language models.

Education
Master's or Ph.D. degree in Data Science, Computer Science, Statistics, Mathematics, or related
quantitative field, or combination of Bachelor's degree with equivalent experience.

Location: Duluth, GA

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