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Entry Level Data Scientist Remote Jobs in Atlanta, GA

Remote Travel Required : N/A About Kaizen Kaizen Analytix is a global technology consulting firm that helps organizations unlock the full value of their data through advanced analytics, artificial ...

Remote Travel Required : N/A About Kaizen Kaizen Analytix is a global technology consulting firm that helps organizations unlock the full value of their data through advanced analytics, artificial ...

Data Science is a driver of significant competitive advantage for Kemper and is critical to the ... Remote options are available for non-local candidate. * The range for this position is $93,300 to ...

Remote Hours: 10-20 hours/week Duration: 1-2 months minimum, with likely extension Start: Immediate ... Scientific Data Interpretation * Evidence-Based Reasoning * Technical Documentation Qualifications

Senior Data Scientist

Atlanta, GA · On-site +1

$160K - $180K/yr

... data platforms * Preferably Possessing a Master's degree in Science or Engineering (Computer ... Familiarity with agile and working in a remote & asynchronous team We are looking for talented ...

Title - Data Analyst Duration - Contract 6+ Months Location - Remote (US) What We Need: We're looking for a passionate Data Analyst for the Game Science & Insights (Analytics) team, to support two ...

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Entry Level Data Scientist Remote information

See Atlanta, GA salary details

$44.2K

$158.7K

$234.2K

How much do entry level data scientist remote jobs pay per year?

As of Sep 6, 2026, the average yearly pay for entry level data scientist remote in Atlanta, GA is $158,691.00, according to ZipRecruiter salary data. Most workers in this role earn between $128,400.00 and $163,500.00 per year, depending on experience, location, and employer.

What is an entry level data scientist remote?

An Entry Level Data Scientist (Remote) is a professional who analyzes and interprets complex digital data to help companies make informed decisions, typically working from a location outside of the company's physical office. They use statistical techniques, machine learning, and data visualization tools to uncover insights from large datasets. Entry level positions are designed for individuals with limited professional experience, often recent graduates or those transitioning into the field. Remote roles offer flexibility, enabling employees to work from home or any other location with internet access.

What are the key skills and qualifications needed to thrive as an entry level data scientist remote?

To thrive as an Entry Level Data Scientist (Remote), you need a solid foundation in statistics, programming (especially Python or R), and data analysis, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with tools like SQL, Jupyter Notebooks, and machine learning libraries (such as scikit-learn or TensorFlow), as well as experience with data visualization platforms, is often expected. Strong problem-solving skills, self-motivation, and clear communication are crucial for collaborating across teams and working independently in a remote environment. These skills and qualities ensure you can effectively extract insights from data and contribute meaningfully to business decisions, even without direct in-person supervision.

What are some common challenges entry level data scientists face when working remotely, and how can they overcome them?

Entry-level data scientists working remotely often encounter challenges such as limited access to mentorship, difficulties in understanding team expectations, and staying motivated without in-person supervision. To overcome these, it's helpful to proactively communicate with teammates and supervisors, seek regular feedback, and participate in virtual team meetings or collaborative coding sessions. Leveraging online communities and internal chat channels can also help build connections and access guidance when needed, ensuring continued learning and integration into the team.

Can I get an entry level data scientist remote job with no experience?

Entry level remote data scientist positions typically require some foundational knowledge in programming, statistics, and data analysis tools like Python or R. While prior experience is often preferred, candidates with relevant coursework, certifications, or strong analytical skills can sometimes qualify for entry-level roles without professional experience.

What are the most commonly searched types of Data Scientist Remote jobs in Atlanta, GA?

The most popular types of Data Scientist Remote jobs in Atlanta, GA are:

What job categories do people searching Entry Level Data Scientist Remote jobs in Atlanta, GA look for?

The top searched job categories for Entry Level Data Scientist Remote jobs in Atlanta, GA are:

What cities near Atlanta, GA are hiring for Entry Level Data Scientist Remote jobs?

Cities near Atlanta, GA with the most Entry Level Data Scientist Remote job openings:

Infographic showing various Entry Level Data Scientist Remote job openings in Atlanta, GA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $158,691 per year, or $76.3 per hour.

Data Scientist

Kaizen Analytix LLC

Atlanta, GA • On-site, Remote

Contractor

Posted 5 days ago


Job description

Employment Type: Contract
Location: Remote
Travel Required: N/A
About Kaizen
Kaizen Analytix is a global technology consulting firm that helps organizations unlock the full value of their data through advanced analytics, artificial intelligence, and modern data platforms. We partner with clients across industries to solve complex business problems, modernize legacy systems, and drive measurable outcomes. At Kaizen, we combine deep technical expertise with a collaborative, people-first culture focused on continuous improvement. Our teams work at the intersection of strategy, technology, and execution to deliver solutions that make a real impact.
Job Overview
Kaizen Analytix LLC, an analytics services company seeking a qualified Data Science Contractor with a background in exploratory analysis, data modeling, regression analysis, and ML/AI models. The ideal candidate has elasticity estimation and/or pricing experience. Responsibilities and job requirements are below. This role requires a 40-hour/week commitment for 6 months with possible extension.
Key Responsibilities
• Provide analytical support by leveraging data mining tools and analytical methodologies
• Assist in data modeling and analysis to determine key customer insights, drive business strategies, and maximize ROI
• Integrate internal and external data sources, be comfortable working with both structured and unstructured data
• Assist in development, maintenance, and enhancement of statistical models in Python
• Use statistical tools and techniques to extract and analyze trends from the customer database warehouse
• Prepare and deliver presentations with complex analytical concepts
• Comfortable presenting to the business and upper management
Qualifications
Education and Experience:
  • PhD in Operations Research, Econometrics, or other applied mathematical discipline with at least 1 year of relevant professional experience
OR
  • Master's degree in Operations Research, Data Science, Business Analytics, Industrial Engineering, Econometrics, Computer Science, or other applied mathematical discipline, with at least 3 years of relevant professional experience
• Expertise in two or more of the following areas: math programming, probability, statistics, forecasting, machine learning, artificial intelligence, or other heuristics
• Expert programmer in two or more of the following: Python, R, SAS, MATLAB, SQL
• Excellent written, verbal, and presentation skills
• Experience in elasticity estimation and pricing is a definite plus
Kaizen Analytix is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or any other status protected by applicable federal, state, or local law.