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Data Science Startup Jobs in Georgia (NOW HIRING)

Hopper

You will partner with Engineering, Data Science, Commercial, Finance, and Supply - and coordinate ... Well-funded and proven startup with large ambitions, competitive salary and the upsides of pre-IPO ...

Andersen

Supply Chain Data Scientist

Locust Grove, GA

$78K - $122K/yr

The Data Analyst will be based in Locust Grove, GA and will partner with the Cottage Grove, MN team ... Previous success in a greenfield manufacturing startup. Previous experience in a high-volume, high ...

Workday

Principal AI Engineer - Evisort

Atlanta, GA · On-site

This is your opportunity to build at the pace of innovation of a startup, while backed by the ... About You Basic Qualifications * 10+ years experience as a member of a data science, machine ...

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Data Science Startup information

See Georgia salary details

$18.3K

$87.8K

$163.8K

How much do data science startup jobs pay per year?

As of Jul 3, 2026, the average yearly pay for data science startup in Georgia is $87,829.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,738.00 and $122,155.00 per year, depending on experience, location, and employer.

What is a Data Science Startup job?

A Data Science Startup job involves working at an early-stage company that leverages data science to build innovative products or services. Employees typically wear multiple hats, working on data analysis, machine learning models, data pipelines, and sometimes even product or business strategy. The role often requires strong programming skills (Python, SQL), statistical knowledge, and the ability to work in a fast-paced, evolving environment. Since startups have limited resources, adaptability, problem-solving skills, and a willingness to experiment are crucial. It’s a great opportunity to gain diverse experience and make a significant impact in shaping a company's data strategy.

What are the typical challenges faced when working at a data science startup?

Working at a data science startup often involves managing ambiguity, adapting to frequently changing priorities, and balancing multiple roles due to lean team structures. You may be responsible for the entire data pipeline—from data collection and cleaning to building models and presenting findings—making flexibility and resourcefulness essential. Tight project timelines, evolving business goals, and limited initial resources can also be common, so being proactive and self-motivated helps you thrive. On the positive side, these challenges offer significant opportunities to learn rapidly, take ownership of impactful projects, and shape both the company's products and your own career trajectory.

What are the key skills and qualifications needed to thrive in the Data Science Startup position, and why are they important?

To thrive in a Data Science Startup, you need strong analytical skills, proficiency in programming languages like Python or R, and a solid understanding of statistics and machine learning. Familiarity with data visualization tools, cloud platforms, and relevant certifications such as Certified Data Scientist or AWS Certified Data Analytics are highly valued. Adaptability, creative problem-solving, and effective communication are key soft skills that set standout professionals apart in this environment. These skills are vital for driving innovation, efficiently handling rapidly changing projects, and collaborating in a fast-paced, entrepreneurial setting.

What are the most commonly searched types of Data Science Startup jobs in Georgia? The most popular types of Data Science Startup jobs in Georgia are:
What are popular job titles related to Data Science Startup jobs in Georgia? For Data Science Startup jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Data Science Startup jobs in Georgia look for? The top searched job categories for Data Science Startup jobs in Georgia are:
What cities in Georgia are hiring for Data Science Startup jobs? Cities in Georgia with the most Data Science Startup job openings:
Data Science Startup jobs near you
Infographic showing various Data Science Startup job openings in Georgia as of June 2026, with employment types broken down into 80% Full Time, and 20% Part Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $87,829 per year, or $42.2 per hour.

Associate Product Manager @ Social app startup

Cheez

Athens, GA • On-site

Full-time

Posted 12 days ago

Job description

Cheez is a new app that sends you the pictures that your friends take of you, powered by facial recognition.

See the iOS app https://apple.co/3KLnpTa

or the Android app https://cheez.cc/449QC0Q

Responsibilities:

  • Assist in defining product requirements, objectives, and key results based on user needs and market research

  • Collaborate with the Founder/CEO, Engineering & Design team (ex-Google/Apple/Facebook/Microsoft) to prioritize, plan, and execute product roadmaps and sprint plans

  • Develop user stories, acceptance criteria, and detailed product specifications to communicate feature requirements to the design and engineering teams

  • Monitor and analyze product performance metrics, identifying opportunities for improvement and optimization

  • Conduct user research, usability testing, and competitive analysis to inform product decisions and validate hypotheses

  • Collaborate with the marketing team to create go-to-market strategies, positioning, and messaging for new features and improvements

  • Foster a culture of collaboration, continuous improvement, and user-centric thinking within the team

  • Bachelor's degree in Computer Science, Engineering, Business or a related field (preferred, not required)

  • Strong product instincts & passion for social media, technology, and staying current with industry trends

  • Excellent communication, collaboration, and presentation skills

  • Strong analytical and critical thinking abilities, with a data-driven approach to decision-making

  • Ability to thrive in a fast-paced, dynamic startup environment

  • Eagerness to learn, adapt, and contribute to a supportive, inclusive team culture

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