1

Senior Python Data Science Jobs in Atlanta, GA (NOW HIRING)

Senior Data Science Analyst

Atlanta, GA · On-site

$82K - $104K/yr

Proficiency in both Python and R for data analysis (pandas, dplyr, data visualization libraries ... Collaborate with a senior team of data scientists and engineers * Contribute to cutting-edge work ...

His/her responsibility will be to define data science standards, uncover areas in which data ... Knowledge of programming languages (R, PHP, Python) * Able to build a sense of trust and rapport ...

His/her responsibility will be to define data science standards, uncover areas in which data ... Knowledge of programming languages (R, PHP, Python) * Able to build a sense of trust and rapport ...

Position Summary As a Senior Data Scientist, you will be responsible for designing and implementing ... with Python and data science libraries (pandas, NumPy, scikit-learn, TensorFlow/PyTorch). • ...

... Science & Engineering Qualifications and Experience * Proven experience building and deploying ML ... Strong Python and ML libraries ( scikit-learn, XGBoost, TensorFlow, or PyTorch ). * Strong data ...

Based on the specific data science team, this role would need to be Proficient in one or more data ... Proficient in a modern scripting language (preferably Python) * Proficient running queries against ...

Based on the specific data science project, this role would need to be knowledgeable in one or more ... Must be proficient in a modern scripting language (preferably Python); Must be proficient running ...

... science solutions into production. You will work closely with senior data scientists, software ... Python, SQL, and distributed computing frameworks. • Conduct exploratory data analysis to ...

next page

Showing results 1-20

Senior Python Data Science information

See Atlanta, GA salary details

$52.9K

$136.5K

$187.5K

How much do senior python data science jobs pay per year?

As of Jul 29, 2026, the average yearly pay for senior python data science in Atlanta, GA is $136,532.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,800.00 and $157,200.00 per year, depending on experience, location, and employer.

What is the difference between Senior Python Data Science vs Data Analyst?

AspectSenior Python Data ScienceData Analyst
Required SkillsPython, machine learning, statistical analysis, data modelingExcel, SQL, data visualization, basic statistics
Work EnvironmentData science teams, R&D, product developmentBusiness units, reporting, operational analysis
Industry UsageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Senior Python Data Scientists focus on advanced analytics, machine learning, and building predictive models using Python, often working in R&D or product teams. Data Analysts primarily handle data reporting, visualization, and basic statistical analysis to support business decisions. While both roles require data handling skills, Senior Python Data Science roles demand deeper technical expertise and experience with complex algorithms.

What are the most commonly searched types of Python Data Science jobs in Atlanta, GA? The most popular types of Python Data Science jobs in Atlanta, GA are:
What job categories do people searching Senior Python Data Science jobs in Atlanta, GA look for? The top searched job categories for Senior Python Data Science jobs in Atlanta, GA are:
Senior Python Developer

Senior Python Developer

PROLIM Global Corporation

Atlanta, GA • On-site

$116K - $157K/yr

Contractor

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Location: Alpharetta, GA
Duration: 6 months
GBaMS ReqID: 10527471
Senior Python Developer - AI/ML Model SDKs
**(USCs + GC holders only)
• Senior Python Developer responsible for designing, building, and releasing high quality Python Model SDKs used by data scientists and ML engineers
• Develop SDKs that support seamless model training, experimentation, validation, and deployment across the AI/ML lifecycle
• Apply deep Python expertise and strong software engineering practices to build developer friendly libraries
• Design, develop, and maintain Python SDKs that simplify AI/ML model training, evaluation, and deployment workflows
• Build SDKs optimized for notebook based development in Jupyter, Colab, and VS Code
• Implement clean, modular, extensible APIs supporting multiple model types and frameworks
• Package and release SDKs using best practices in versioning, dependency management, and backward compatibility
• Ensure SDKs are production ready and support deployment, inference, monitoring hooks, and configuration management
• Collaborate with data scientists, ML engineers, and MLOps teams to translate requirements into SDK features
• Write comprehensive unit, integration, and contract tests
• Create and maintain developer documentation, examples, and notebooks
• Enforce software engineering best standards including code reviews, CI/CD, linting, and performance optimization
• Manage the end to end SDK lifecycle from design through release and maintenance
• 7+ years of professional Python development experience
• Strong experience building, maintaining, and distributing Python libraries or SDKs for developers
• Strong understanding of AI/ML workflows including training, validation, inference, and deployment
• Hands on experience designing APIs optimized for interactive notebook use
• Experience with Python packaging tools including setuptools, poetry, or pip
• Experience with semantic versioning and package distribution via PyPI or internal registries
• Strong knowledge of software design principles including SOLID and clean architecture
• Experience with testing frameworks such as pytest
• Familiarity with CI/CD and automated release processes
• Excellent communication and cross functional collaboration skills
• Experience with ML frameworks such as TensorFlow, PyTorch, Scikit learn, or XGBoost
• MLOps experience including model versioning, feature stores, registries, and monitoring
• Experience deploying models to AWS, GCP, or Azure
• Familiarity with Docker and Kubernetes
• Experience designing developer first APIs and SDK usability patterns
• Open source contributions or publicly released Python packages