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Data Science Startup Jobs in Georgia (NOW HIRING)

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Data Scientist - AI Platform

Atlanta, GA · On-site

... data science efforts to understand business requirements and design, build, and implement ... A "Startup Within a Giant" Culture: We are transitioning to a highly focused, domain-driven ...

Impiricus

Impiricus Intern

Atlanta, GA · On-site +1

$25/hr

... startup, work directly with experienced founders and leaders, and contribute to work that has a ... Any major considered; coursework or interest in Business, Marketing, Data Science, Computer Science ...

Cheez

Product Manager @ Social app startup

Augusta, GA · On-site

Bachelor's degree in Computer Science, Engineering, Business or a related field (preferred, not ... Strong analytical and critical thinking abilities, with a data-driven approach to decision-making

Invesco

Client Analytics Manager

Atlanta, GA · Hybrid

It works like a small startup within the organization, with a clear focus on improving ... Work across sales, marketing, product, data science, and technology in a highly visible role * Join ...

Invesco Ltd.

Client Analytics Manager

Atlanta, GA · On-site

It works like a small startup within the organization, with a clear focus on improving ... Work across sales, marketing, product, data science, and technology in a highly visible role * Join ...

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Data Science Startup information

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$18.3K

$87.8K

$163.8K

How much do data science startup jobs pay per year?

As of Sep 13, 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?

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 a data science startup, 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 August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $87,829 per year, or $42.2 per hour.

Data Scientist - Decision Analytics

Atlanta, GA • On-site

Home Depot
Retail • 10K+ employees
Learn more about Home Depotexternal

Full-time

Posted 14 days ago

Key responsibilities

  • Design and develop algorithms and models to extract business insights from large datasets.

  • Effectively communicate insights and recommendations to technical and non-technical audiences.

  • Collaborate with business partners and cross-functional teams to determine project goals.

Home Depot rating

7.4

Company rating: 7.4 out of 10

Based on 6,515 frontline employees who took The Breakroom Quiz

Job description

With a career at The Home Depot, you can be yourself and also be part of something bigger.
Position Purpose:
The Data Scientist drives business profitability and seamless acquisition of The Home Depot's recent integrations by acting as a critical bridge between data engineering, analytics, and overarching business strategy. Operating in a fast-paced, startup-like environment, this role owns end-to-end analytical projects that require pivoting seamlessly between rapid, ad-hoc requests and long-term strategic execution. The position demands exceptional technical capabilities-particularly in advanced SQL, robust data wrangling, Tableau, and applied GenAI-to untangle and harmonize massive datasets across disparate company systems. Prioritizing business acumen over classical machine learning, the Data Scientist applies advanced analytics and matching algorithms to extract actionable insights, ultimately translating complex technical realities into clear, executive-ready recommendations for non-technical stakeholders, IT engineers, and other business partners.
Key Responsibilities:
  • 55% Solution Development - Design and develop algorithms and models to use against large datasets to create business insights; Participates in large data analytics project teams by serving as a technical lead for analytics projects; May lead small projects and work independently on solution development; Execute tasks with high levels of efficiency and quality; Make appropriate selection, utilization and interpretation of advanced analytical methodologies
  • 20% Communicating Results - Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners; Present recommendations in a confident manner in order to influence execution of recommendation; Prepare reports, updates and/or presentations related to progress made on a project or solution; Clearly communicate impacts of recommendations to drive alignment and appropriate implementation
  • 10% Business Collaboration - Incorporate business knowledge into solution approach; Effectively develop trust and collaboration with internal customers and cross-functional teams; Work with project teams and business partners to determine project goals
  • 15% Technical Exploration & Development - Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Build and maintain library of reusable algorithms for future use, ensuring developed codes are documented

Direct Manager/Direct Reports:
  • This position typically reports to Manager or above
  • This position has 0 Direct Reports

Travel Requirements:
  • Typically requires overnight travel less than 10% of the time.

Physical Requirements:
  • Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.

Working Conditions:
  • Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.

Minimum Qualifications:
  • Must be eighteen years of age or older.
  • Must be legally permitted to work in the United States.

Preferred Qualifications:
  • Masters in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience
  • 4+ years of experience in business intelligence and analytics
  • Working knowledge of Microsoft Excel and Power Point
  • Experience in a modern scripting language (preferably Python)
  • Proficient running queries against data (preferably with Google BigQuery or SQL)
  • Proficient with data visualization software (preferably Tableau)
  • Proficient utilizing statistical techniques to identify key insights that help solve business problems
  • Knowledgeable in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP
  • Demonstrated experience in predictive modeling, data mining and data analysis

Minimum Education:
  • The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.

Preferred Education:
  • No additional education

Minimum Years of Work Experience:
  • 3

Preferred Years of Work Experience:
  • No additional years of experience

Minimum Leadership Experience:
  • None

Preferred Leadership Experience:
  • None

Certifications:
  • None

Competencies:
  • Action Oriented: Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm
  • Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals
  • Collaborates: Building partnerships and working collaboratively with others to meet shared objectives
  • Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences
  • Customer Focus: Building strong customer relationships and delivering customer-centric solutions
  • Drives Results: Consistently achieving results, even under tough circumstances
  • Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder
  • Optimizes Work Processes: Knowing the most efficient and effective processes to get things done, with a focus on continuous improvement
  • Plans and Aligns: Planning and prioritizing work to meet commitments aligned with organizational goals
  • Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels

What Home Depot employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Home Depot logo

About Home Depot

Sourced by ZipRecruiter

The Home Depot is the world’s largest home improvement specialty retailer, operating a vast network of warehouse-format stores across the United States, Canada, and Mexico. Founded in 1978, the company has established itself as the primary resource for building materials, lawn and garden products, and home décor. Its business model caters to two distinct customer bases: Do-It-Yourself (DIY) homeowners and "Pro" customers, such as professional contractors and tradespeople. Beyond product sales, the company offers an extensive suite of services, including professional installation and one of the largest tool rental operations in North America.

Industry

Retail, manufacturing and personal services

Company size

10,000+ Employees

Headquarters location

Atlanta, GA, US

Social media

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