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Scientist Python Jobs in Duluth, GA (NOW HIRING)

Python Tutor

Woodstock, GA ยท Remote

$18 - $40/hr

... science, web development, automation, and computer science coursework. * Conceptual Teaching ... Familiar with Python curricula at introductory through advanced levels and common challenges such ...

Python Tutor

Johns Creek, GA ยท Remote

$18 - $40/hr

... science, web development, automation, and computer science coursework. * Conceptual Teaching ... Familiar with Python curricula at introductory through advanced levels and common challenges such ...

Python Tutor

Lawrenceville, GA ยท Remote

$18 - $40/hr

... science, web development, automation, and computer science coursework. * Conceptual Teaching ... Familiar with Python curricula at introductory through advanced levels and common challenges such ...

Python Tutor

Marietta, GA ยท Remote

$18 - $40/hr

... science, web development, automation, and computer science coursework. * Conceptual Teaching ... Familiar with Python curricula at introductory through advanced levels and common challenges such ...

Python Tutor

Alpharetta, GA ยท Remote

$18 - $40/hr

... science, web development, automation, and computer science coursework. * Conceptual Teaching ... Familiar with Python curricula at introductory through advanced levels and common challenges such ...

Python Tutor

Roswell, GA ยท Remote

$18 - $40/hr

... science, web development, automation, and computer science coursework. * Conceptual Teaching ... Familiar with Python curricula at introductory through advanced levels and common challenges such ...

Python Tutor

Sandy Springs, GA ยท Remote

$18 - $40/hr

... science, web development, automation, and computer science coursework. * Conceptual Teaching ... Familiar with Python curricula at introductory through advanced levels and common challenges such ...

Python Tutor

Atlanta, GA ยท Remote

$18 - $40/hr

... science, web development, automation, and computer science coursework. * Conceptual Teaching ... Familiar with Python curricula at introductory through advanced levels and common challenges such ...

Python Tutor

Duluth, GA ยท Remote

$18 - $40/hr

... science, web development, automation, and computer science coursework. * Conceptual Teaching ... Familiar with Python curricula at introductory through advanced levels and common challenges such ...

Senior Python Engineer

Alpharetta, GA ยท 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 ...

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

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Showing results 1-20

Scientist Python information

See Duluth, GA salary details

$34.5K

$113K

$180.9K

How much do scientist python jobs pay per year?

As of Aug 22, 2026, the average yearly pay for scientist python in Duluth, GA is $112,971.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,700.00 and $125,200.00 per year, depending on experience, location, and employer.

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 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 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.

How much do Python data scientists make?

Python data scientists typically earn a median salary ranging from $90,000 to $130,000 annually, depending on experience, location, and industry. Advanced skills in machine learning, data analysis, and proficiency with tools like Pandas and TensorFlow can lead to higher compensation.

What are 10 careers related to Python?

A Python-focused scientist can pursue careers such as data scientist, machine learning engineer, data analyst, software developer, automation engineer, research scientist, bioinformatics specialist, quantitative analyst, AI engineer, and backend developer. These roles often require strong programming skills, knowledge of libraries like NumPy and Pandas, and experience with data analysis or software development environments.

Which scientist Python job is in demand?

Data scientist and machine learning engineer roles that require Python skills are currently in high demand across industries. These positions often seek proficiency in libraries like Pandas, NumPy, and TensorFlow, and may require experience with data analysis, modeling, and cloud platforms. Strong programming skills and relevant certifications can improve job prospects in this field.

What are popular job titles related to Scientist Python jobs in Duluth, GA?

For Scientist Python jobs in Duluth, GA, the most frequently searched job titles are:

What job categories do people searching Scientist Python jobs in Duluth, GA look for?

The top searched job categories for Scientist Python jobs in Duluth, GA are:

What cities near Duluth, GA are hiring for Scientist Python jobs?

Cities near Duluth, GA with the most Scientist Python job openings:

Infographic showing various Scientist Python job openings in Duluth, GA as of August 2026, with employment types broken down into 1% Internship, 83% Full Time, 10% Part Time, and 6% Contract. Highlights an 76% Physical, 7% Hybrid, and 17% Remote job distribution, with an average salary of $112,971 per year, or $54.3 per hour.

Data Scientist with Python AI/ML

Accord Technologies Inc.

Atlanta, GA โ€ข On-site

Contractor

Re-posted 11 days ago


Job description

Title : Data Scientist with Python AI/ML
Location: Atlanta, GA (Inperson interview needed)
Position type: W2 contract.

Job Description:

We are looking for a highly capable Technical Lead –Python & AI/ML with deep expertise in backend engineering, LLM-based applications, RAG architectures, and AI agent frameworks.
You will lead the design, development, and deployment of production-grade AI systems built on Python, modern LLM tooling, retrieval engines, embeddings, and vector databases.
This is a hands-on leadership role focused on building scalable and intelligent AI products.

Investment Banking and financial domain is needed.


Key Responsibilities

  • Lead the architecture and development of LLM-driven applications, AI agents, and RAG-based systems.
  • Provide technical guidance, conduct code reviews, and mentor junior team members.
  • Drive best practices in Python backend engineering, API development, and AI system design.

Backend Engineering (Python)

  • Build and maintain backend services using FastAPI or Flask.
  • Develop scalable API endpoints for AI applications, embeddings, and retrieval systems.
  • Ensure backend code quality, modularity, performance, and maintainability.

LLMs, RAG, and AI Agent Development

  • Build AI applications using: LangChain, LangGraph, Semantic Kernel, Haystack, LlamaIndex, AutoGen

•       Develop autonomous or semi-autonomous AI agents with tool calling and workflow graphs.

•       Implement Retrieval-Augmented Generation (RAG), embedding pipelines, chunking strategies, reranking, and grounding techniques.

•       Work with OpenAI SDK and other LLM providers (Anthropic, Azure OpenAI, Cohere, etc.).

•       Manage prompt engineering, prompt routing, safety guardrails, and evaluation metrics.

Data & Vector Search Engineering

•       Build data pipelines for indexing, embeddings, and retrieval workflows.

•       Work with SQL databases (PostgreSQL, MySQL, etc.) for metadata and application storage.

•       Work with vector databases such as: RedisPostgres with pgvectorElasticsearchNeo4j, or others.

•       Implement and optimize search workflows using FAISS or similar similarity search libraries.

MLOps, Deployment & Observability

•       Deploy AI services using Docker, container orchestration, and cloud environments.

•       Implement monitoring for AI behavior, performance, error rates, and retrieval accuracy.

•       Set up CI/CD pipelines for backend and AI components.

•       Optimize inference cost, latency, and reliability.

Cross-Functional Collaboration

•       Collaborate with product, data engineering, and business teams to understand requirements.

•       Translate business problems into scalable AI architectures and deliver practical solutions.

•       Communicate technical decisions, trade-offs, and progress to stakeholders.


Required Qualifications

•       Bachelor’s/Master’s degree in Computer Science, AI/ML, Data Science, or related fields.

•       10+ years of experience in Python backend development.

•       Strong proficiency in FastAPI or Flask.

•       Strong working knowledge of SQL databases (Postgres, MySQL, etc.).

•  Hands-on expertise with vector databases:
RedisPostgres/pgvectorElasticsearch, or Neo4j.

•       Practical experience with FAISS for similarity search.

•       Hands-on experience with modern LLM frameworks:
LangChain, LangGraph, Semantic Kernel, Haystack, LlamaIndex, AutoGen.

•       Strong understanding of:

  • Embeddings & vector search
  • RAG pipelines
  • Retrieval optimization
  • Chunking strategies
  • Document loaders & indexing

•       Experience building AI apps using OpenAI SDK or similar.

•       Experience deploying APIs/services using Docker and cloud environments.

•       Leadership experience: guiding teams, conducting reviews, driving architecture decisions.