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Scientist Python Jobs in Georgia (NOW HIRING)

Senior Python Engineer

Alpharetta, GA · On-site

$90 - $120/hr

The team consists of Python engineers, Angular engineers, and software quality automation engineers ... Bachelor's degree in Computer Science, Engineering, or equivalent experience. * 5+ years of ...

New

Key Skills: - LLM - NLP - GenAI - RAG - Python Summary We are seeking a highly skilled and motivated Senior Data Scientist with expertise in deep learning, particularly as applied to a combination of ...

This role bridges actuarial science, solution development, and advanced data engineering, ensuring ... Develop solutions using Python in a cloud-based ecosystem. * Actuarial Data Support: Collaborate ...

Are you passionate about using data science to drive smarter risk decisions and create meaningful ... Python experience required * Cloud experience preferred * Develops, analyzes and models operational ...

Python. * Cloud technologies. Benefits Our Benefits Include: * Medical, Dental, and Vision ... We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and ...

A Data Scientist with 5 to 10 years of experience is responsible for leveraging data to uncover ... Python libraries. Hypothesis Testing: Formulate and test hypotheses, providing statistical ...

Are you passionate about using data science to drive smarter risk decisions and create meaningful ... Python experience required * Cloud experience preferred * Develops, analyzes and models operational ...

Are you passionate about using data science to drive smarter risk decisions and create meaningful ... Python experience required * Cloud experience preferred * Develops, analyzes and models operational ...

Data Scientist II Location: 30 Ivan Allen Jr Blvd, NW, Atlanta GA, 30308 HYBRID Duration: 1 Year ... Develop dashboards and visualizations using Tableau, Power BI, or Python libraries (Matplotlib ...

Senior Data Scientist Job Location: Atlanta, GA (Onsite) Job Type: Contract Note ... Notes: Need someone who has experience with Python programming, NumPy or Pandas and along with ...

Develop and maintain algorithms, scripts, and microservices (Python, R, Julia, SQL) to automate ... Employ geospatial scientific principles and GIS tools to integrate locationbased data and models ...

Develop and maintain algorithms, scripts, and micro‑services (Python, R, Julia, SQL) to automate ... Employ geospatial scientific principles and GIS tools to integrate location‑based data and models ...

Develop and maintain algorithms, scripts, and micro-services (Python, R, Julia, SQL) to automate ... Employ geospatial scientific principles and GIS tools to integrate location-based data and models ...

Data Scientist

Alpharetta, GA · On-site

$95.30 - $158.80/hr

R115426Are you passionate about using data science to drive smarter risk decisions and create ... Python experience required* Cloud experience preferred* Develops, analyzes and models operational ...

Position Summary As a Data Scientist, you will be responsible for developing and implementing ... Python, SQL, and distributed computing frameworks. • Conduct exploratory data analysis to ...

Experience • 3+ years of experience in data science, machine learning, or related analytical roles. • 3+ years of experience with Python and data science libraries (pandas, NumPy, scikit-learn ...

Showing results 21-40

Scientist Python information

How does a Scientist Python typically collaborate with other team members during research and development projects?

Scientist Python professionals frequently work in multidisciplinary teams, collaborating closely with data scientists, domain experts, and software engineers. They are often responsible for developing and implementing Python-based models or algorithms, then integrating their work with broader research goals or product pipelines. Regular communication, code reviews, and shared documentation are common practices to ensure alignment and reproducibility. This collaborative environment offers opportunities to learn from peers and contribute to diverse projects, fostering both technical and professional growth.

What does a Scientist Python do?

A Scientist Python, often referred to as a Python Scientist or Data Scientist specializing in Python, uses the Python programming language to analyze data, build predictive models, and solve scientific or business problems. They work with large datasets, apply statistical and machine learning techniques, and create visualizations to interpret results. Their work often involves writing code to clean, manipulate, and analyze data efficiently. Python's extensive libraries, such as Pandas, NumPy, and SciPy, make it a popular choice for scientific computing and data science tasks.

What are the key skills and qualifications needed to thrive as a Scientist Python?

To thrive as a Scientist Python, you need strong programming skills in Python, a solid background in scientific methods or data analysis, and typically an advanced degree in a relevant field such as computer science, physics, or biology. Experience with data analysis libraries (e.g., NumPy, pandas, SciPy), machine learning frameworks (e.g., scikit-learn, TensorFlow), and version control systems is commonly required. Critical thinking, effective communication, and problem-solving abilities help distinguish top performers in this role. These skills enable efficient data-driven research, reproducible scientific workflows, and successful collaboration in multidisciplinary environments.

How much does a scientist Python make?

A Python scientist, often called a data scientist or machine learning engineer, typically earns between $80,000 and $130,000 annually, depending on experience, location, and industry. Advanced skills in Python, data analysis, and machine learning tools can lead to higher salaries, especially in tech hubs or specialized sectors.

What is the difference between Scientist Python vs Data Analyst Python?

AspectScientist PythonData Analyst Python
Required CredentialsBachelor's or Master's in Science, Data Science, or related fields; Python proficiencyBachelor's in Statistics, Data Analysis, or related fields; Python skills
Work EnvironmentResearch labs, R&D departments, tech companiesBusiness intelligence teams, marketing, finance departments
Employer & Industry UsageResearch institutions, tech firms, healthcareCorporate, finance, retail, marketing
Common Search & ComparisonYesYes

Scientist Python and Data Analyst Python roles share similar skills like Python programming and data handling. However, Scientists typically focus on research, experimentation, and developing new models, often working in research-heavy environments. Data Analysts concentrate on interpreting existing data to inform business decisions, working mainly in corporate settings. Both roles require strong analytical skills and Python expertise, but their focus and work environments differ significantly.

Which scientist Python job is in demand?

Data scientist and machine learning engineer roles that require Python skills are currently in high demand across various industries. These positions often seek proficiency in libraries like Pandas, NumPy, and TensorFlow, along with experience in data analysis, modeling, and visualization. Strong programming skills, relevant certifications, and knowledge of cloud platforms can enhance job prospects in this field.
What cities in Georgia are hiring for Scientist Python jobs? Cities in Georgia with the most Scientist Python job openings:

Senior Python Engineer

Solifi Group

Alpharetta, GA • On-site

$90 - $120/hr

Other

Medical, Dental, Vision, Life, Retirement

Posted 3 days ago

New


Job description

About Solifi

About Solifi deliver a solid financial technology foundation for equipment, working capital, wholesale, and automotive finance firms. At Solifi, we believe that commerce is only as strong as the system it runs on. Our mission is to reshape finance technology by bringing together proven solutions into a singular powerful technology platform designed to help protect and scale financial organizations. We guard our customers by being precise and reliable, we guide their success by combining powerful technology with proven expertise, and we help them grow by unleashing their potential.

About the Team

You will be working with other engineers to build out a new product for Solifi. The team consists of Python engineers, Angular engineers, and software quality automation engineers.

About the Position

As a Senior Python Engineer, you will play a key role in designing, building, and maintaining the backend services and APIs that power Solifi’s risk‑management clearinghouse. You will develop cloud‑native Python applications that sit on top of our data platform, exposing curated data and business logic to product features through well‑designed, performant interfaces.

Role and Responsibilities
  • Design, build, and maintain Python backend services and RESTful APIs that power product features built on top of our data platform.
  • Develop clean, well‑structured application code in Python, with strong attention to readability, testability, and long‑term maintainability.
  • Design API contracts and service boundaries that balance product needs, performance, and consumer ergonomics.
  • Query and integrate with data lakes and data warehouses (e.g., S3‑based lakes, Redshift) to surface curated datasets through application APIs.
  • Write and tune SQL against analytical and transactional sources to support product features and backend workflows.
  • Build and maintain AWS‑native backend infrastructure using services such as Lambda, ECS/Fargate, API Gateway, S3, and RDS.
  • Implement authentication, authorization, validation, error handling, and observability across services.
  • Partner with data engineers to understand upstream pipelines and ensure application services consume data correctly and efficiently.
  • Work with product managers, designers, and engineers to translate product requirements into well‑scoped services and endpoints.
  • Troubleshoot and resolve issues across application, integration, and storage layers, improving reliability and performance over time.
  • Participate in code reviews, design discussions, and planning sessions to ensure engineering excellence.
  • Contribute to continuous improvement of backend patterns, tooling, and developer workflows.
Qualifications
  • Bachelor’s degree in Computer Science, Engineering, or equivalent experience.
  • 5+ years of experience in software engineering with strong exposure to cloud‑native backend services.
  • Strong experience building production Python applications, including REST APIs and backend services.
  • Proficiency with at least one modern Python web framework (e.g., FastAPI, Flask, or Django).
  • Hands‑on experience with AWS application services, especially:
    • Compute (Lambda, ECS/Fargate, or EC2)
    • API Gateway and/or application load balancers
    • S3 and at least one relational database (RDS, Postgres, etc.)
  • Strong proficiency in SQL, including query design and performance tuning.
  • Working understanding of data pipelines, data lakes, and data warehouses sufficient to consume them effectively from application code.
  • Experience designing and versioning RESTful APIs and integrating them with downstream consumers.
  • Solid grasp of testing practices for backend services (unit, integration, and contract tests).
  • Strong understanding of service reliability, observability, logging, and monitoring practices.
  • Excellent problem‑solving, debugging, and communication skills.
  • Ability to work independently while collaborating effectively within a cross‑functional engineering team.
Preferred Qualifications
  • Experience building services that sit on top of a data platform or data warehouse (e.g., Redshift, Snowflake, Databricks).
  • Familiarity with columnar/structured data formats (Parquet, Avro, ORC) when consuming data from a lake.
  • Familiarity with event‑driven architectures (SNS/SQS, Kafka, Kinesis).
  • Experience with CI/CD workflows and modern deployment practices for backend services.
  • Exposure to infrastructure‑as‑code (Terraform, CloudFormation, or CDK).
  • Experience with containerization (Docker) and container orchestration.
  • Familiarity with .NET (C#) services in a polyglot backend environment.
  • Domain experience in risk management, analytics, or financial platforms.
  • Experience optimizing cloud compute and storage costs in AWS.
About You

You bring strong expertise in Python application development, API design, and building reliable backend services in AWS. You enjoy solving complex problems in product‑facing code, designing clean service boundaries, and working closely with product, engineering, and data teams to deliver features that are fast, observable, and maintainable. While your primary focus is application and API development, you are comfortable working alongside a data platform—reading from data lakes and warehouses, writing efficient SQL, and understanding how data pipelines feed the systems you build on. You operate independently on complex tasks while collaborating effectively with senior and staff‑level engineers on architectural decisions.

Preferred Experience Level

4 years

Preferred Education Level

Bachelor's Degree

Employment Basis

Full Time

Benefits

Medical, Dental, Vision, Flexible Spend Account (FSA), Health Savings Account (HSA), Life and Accidental Death & Dismemberment (AD&D) Insurance Coverage, Disability Insurance Coverage (Short Term and Long Term), Employee Assistance Program (EAP), 401K Tax Deferred Retirement Savings Plan

Applications Close Date

15 Aug 2026

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