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Data Science Junior Jobs in Georgia (NOW HIRING)

... and develop junior data scientists. • Collaborate with cross-functional teams including product managers, engineers, and business leaders. • Build evaluation frameworks to measure LLM ...

Mentor and develop junior data scientists. * Collaborate with cross-functional teams including product managers, engineers, and business leaders. * Build evaluation frameworks to measure LLM ...

Expected to take a lead role in guiding data strategy and mentoring junior data scientists or analysts. Essential Duties & Responsibilities * Fully support, configure, maintain, and upgrade networks ...

This role requires a strong foundation in data science techniques, programming, and advanced analytics, as well as the ability to collaborate with various teams and mentor junior staff. Thanks and ...

Mentor junior data scientists and analysts * Contribute to best practices and data science ... methodologies * Stay current with emerging tools, technologies, and industry trends Required ...

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 ...

  • Retirement

Coach and mentor junior consultants and review modeling work for quality and rigor. * Support ... Master-level data science industry knowledge and knowledge of the insurance marketplace. What would ...

This role supports the building of skilled and talented data science teams by providing input to ... Provide mentoring and coaching to more junior roles to support their technical competencies;

Are you passionate about using data science to drive smarter risk decisions and create meaningful ... Individuals in this role can also support the development and training of junior staff. A Senior ...

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 ... Individuals in this role can also support the development and training of junior staff. A Senior ...

Are you passionate about using data science to drive smarter risk decisions and create meaningful ... Individuals in this role can also support the development and training of junior staff. A Senior ...

Are you passionate about using data science to drive smarter risk decisions and create meaningful ... Individuals in this role can also support the development and training of junior staff. A Senior ...

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Data Science Junior information

What is a data science junior?

A Data Science Junior is an entry-level role in data science where professionals assist in analyzing data, building models, and generating insights. They work under the guidance of senior data scientists, helping with data cleaning, visualization, and basic machine learning tasks. This role requires proficiency in programming languages like Python or R, knowledge of statistics, and familiarity with data manipulation tools. It serves as a foundation for gaining hands-on experience and advancing in the data science field.

What are the typical daily responsibilities of a data science junior?

As a Data Science Junior, your daily tasks often include cleaning and preparing data sets, conducting exploratory data analyses, and supporting the development of predictive models under the guidance of senior team members. You may also assist in visualizing data and preparing reports to help communicate insights to both technical and non-technical stakeholders. Collaboration is a key part of the role, as you'll frequently work with data engineers, analysts, and business teams to understand project goals. These responsibilities help you build foundational skills and gain exposure to a variety of real-world data problems early in your career.

What are the key skills and qualifications needed to thrive as a data science junior?

To thrive as a Data Science Junior, a strong understanding of statistics, mathematics, and data analysis is essential, often supported by a bachelor's degree in a related field. Familiarity with programming languages like Python or R, as well as tools such as SQL and visualization platforms, is typically required. Strong problem-solving abilities, effective communication, and a willingness to learn make candidates stand out in this role. These skills enable efficient data exploration, clear communication of insights, and successful collaboration on data-driven projects.

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 job categories do people searching Data Science Junior jobs in Georgia look for?

The top searched job categories for Data Science Junior jobs in Georgia are:

What cities in Georgia are hiring for Data Science Junior jobs?

Cities in Georgia with the most Data Science Junior job openings:

Infographic showing various Data Science Junior job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 11% Part Time, 7% Contract, and 3% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Manager Data Science, GenAI

AIG

Atlanta, GA • On-site

Full-time

Re-posted 6 days ago


AIG rating

8.4

Company rating: 8.4 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

120th of 310 rated insurance


Job description

Job Summary:
AIG is a leading global insurance organization providing a wide range of property casualty insurance and other financial services. The Manager of Data Science will oversee a team delivering generative AI solutions and collaborate with cross-functional teams to innovate and manage risk effectively.
Responsibilities:
• Oversee the development and delivery of data science and generative AI solutions aligned with business requirements, monitor solutions in production.
• Develop technical delivery plans and execute them to ship solutions on time.
• Mentor and develop junior data scientists.
• Collaborate with cross-functional teams including product managers, engineers, and business leaders.
• Build evaluation frameworks to measure LLM effectiveness, ground-truth dataset quality, and guide the product development roadmap.
Qualifications:
Required:
• 7+ years of experience in a data science role—preferably in NLP—in an agile, production-oriented environment.
• 3+ years of experience managing teams of data scientists and/or engineers.
• 2+ years of hands-on experience building generative AI solutions: prompt engineering, RAG and agentic frameworks, validation pipelines, and observability and monitoring solutions.
• Ph.D. or Master's in Data Science, Computer Science, or a related field.
• Ability to thrive in a fast-paced, high-stakes environment.
• Clear communicator and effective collaborator within and across teams.
• Able to operate as both a hands-on practitioner and a people manager.
• Highly technical, with a strong bias for execution.
Preferred:
• Experience on the Palantir platform or demonstrated certification is preferred.
• Ontology Mastery: A strong understanding of Ontology—specifically how to map complex real-world data entities and relationships into a digital twin framework to power AI applications.
• Large-scale Data Infrastructure: Strong understanding of performance optimization in big data environments, with hands-on experience using distributed data processing frameworks such as Apache Spark or PySpark.
• Agentic Solution: Experience implementing advanced agentic architectures, such as autonomous agents capable of multi-step reasoning and decision-making or integrating agentic solutions with large-scale enterprise systems.
Company:
American International Group provides property insurance, life insurance, and financial services. Founded in 1919, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.

What AIG employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


AIG logo

About AIG

Sourced by ZipRecruiter

American International Group, Inc. (AIG) is a leading global insurance organization. Building on 100 years of experience, today AIG member companies provide a wide range of property casualty insurance, life insurance, retirement solutions, and other financial services to customers in more than 80 countries and jurisdictions. These diverse offerings include products and services that help businesses and individuals protect their assets, manage risks and provide for retirement security.

Industry

Insurance services

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1919