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Data Science Jobs in Suwanee, GA (NOW HIRING)

Tror AI for everyone

Data Scientist

Atlanta, GA · On-site

We are looking for candidates with strong Python-based data science and machine learning experience, combined with hands-on exposure to modern AI/LLM frameworks and agentic AI development on Cloudera ...

Loomis

Data Scientist

Suwanee, GA · On-site

This position requires a hands-on technical leader who can translate real-world operational and financial problems into robust, production-ready data science solutions, while partnering closely with ...

STEMtech

Sr. Data Scientist

Atlanta, GA · On-site

His/her responsibility will be to define data science standards, uncover areas in which data science can drive business value, and provide guidance to the team of data scientists on how to best apply ...

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 ...

Kemper

Data Scientist

Alpharetta, GA · On-site +1

Data Science is a driver of significant competitive advantage for Kemper and is critical to the organization's success. As a member of the Kemper Auto Data Science team, this position is responsible ...

Intuitive

Senior Data Scientist

Peachtree Corners, GA · On-site

This role reflects a seasoned, fully qualified data science professional with wide-ranging experience. The Data Scientist 4 applies professional concepts and company objectives to resolve complex ...

Coca-Cola

Principle Data Scientist

Atlanta, GA

This is an exciting opportunity togrow inyour career in data science and analytics within a supportive and innovative environment. What You'll Do for Us: * Collaborate with cross-functional teams to ...

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 ...

State Farm

Lead Data Scientist - Gen AI

Dunwoody, GA

Data Science at State Farm: As a Data Scientist at State Farm, you will serve as a subject matter expert and consultant. In this role, you will share your knowledge and work to increase the use of ...

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All JobsData Science JobsData Science Jobs in Suwanee, GA

Data Science information

See Suwanee, GA salary details

$34.9K

$114.2K

$182.9K

How much do data science jobs pay per year?

As of Aug 17, 2026, the average yearly pay for data science in Suwanee, GA is $114,240.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,700.00 and $126,600.00 per year, depending on experience, location, and employer.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What does a data scientist do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.

What are the key skills and qualifications needed to thrive as a data scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

Is a data scientist in high demand?

Data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.

What jobs can a data scientist do?

A data scientist can work in roles such as data analyst, machine learning engineer, data engineer, or business intelligence analyst. These roles involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.
More about Data Science jobs

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

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

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

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

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

Data Science jobs near you
Infographic showing various Data Science job openings in Suwanee, GA as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $114,240 per year, or $54.9 per hour.

Data Scientist

Tror AI for everyone

Atlanta, GA • On-site

Contractor

Re-posted 24 days ago

Job description

Job Role: 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 Agentic Ai development on Cloudera or Deatricks.

Job Description: 
We are looking for candidates with strong Python-based data science and machine learning experience, combined with hands-on exposure to modern AI/LLM frameworks and agentic AI development on Cloudera / Databricks.

In this role, you will:
• Join Technology team to develop analytical frameworks and reliable measurement strategies for various products, services, and capabilities.
• Design, execute, and analyze complex business and user experiments
• Partner with Product partners and other Data Engineers to set the vision and develop experimentation specifically focused on Profiling Engine, Advanced Segmentation Engine and Advanced Targeting.
• Communicate key insights from analyses, experiments, and data products to stakeholders.

All About you:

  • Core Data Science & Analytics Demonstrate strong expertise in data exploration, feature engineering, statistical modeling, and predictive analytics, with the ability to operationalize models in production environments.
  • Have deep proficiency in Python (preferred) and/or R, with experience using modern data science libraries such as NumPy, Pandas, Scikit-learn, and PyTorch or TensorFlow.
  • Be highly proficient in SQL and experienced in working with large-scale data warehouses and data pipelines.


Machine Learning & AI Engineering:

  • Possess strong experience developing, evaluating, and deploying machine learning and deep learning models across the model lifecycle.
  • Experience building and deploying models using modern ML and MLOps practices, including experiment tracking, model versioning, CI/CD for ML, and monitoring.
  • Familiarity with cloud-based ML platforms (AWS preferred) and distributed data processing frameworks (e.g., Spark).


Generative AI & Agentic Systems:

  • Hands-on experience with Large Language Models (LLMs) and Generative AI frameworks, including prompt engineering, retrieval-augmented generation (RAG), and model orchestration.
  • Experience building AI agents or agentic workflows capable of reasoning, tool use, multi-step task execution, and autonomous decision-making.
  • Familiarity with LLM application frameworks (e.g., LangChain, LlamaIndex, or similar orchestration frameworks).
  • Experience with vector databases, embeddings, and semantic search for building knowledge-driven AI systems.


Agentic Coding & AI-Assisted Development:

  • Strong understanding of AI-assisted software development workflows, including agent-based coding, code generation, automated debugging, and evaluation loops.
  • Experience integrating LLMs with APIs, internal tools, and data systems to build production-grade AI copilots or autonomous workflows.


Business Impact & Communication:

  • Ability to translate complex technical concepts into clear business insights, communicating effectively with both technical and non-technical stakeholders.
  • Strong analytical thinking with the ability to work with ambiguous or incomplete data, develop creative analytical approaches, and connect results to business outcomes.


Domain & Collaboration:

  • Experience applying data science in digital marketing, customer analytics, or growth analytics is highly desirable but not mandatory.
  • Comfortable collaborating with engineering, product, and business teams to build scalable data products and AI-driven solutions.
 

Nagendra

US IT Recruiter | TROR LLC

Ph: 615-857-6282 | Email: nregella@tror.ai

LinkedIn: https://www.linkedin.com/in/nagendra-nag-1b7665b8/

Website: https://tror.ai

Address: 401 Ronan Way, Spring Hill, TN 37174