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Data Science Entry Level Remote Jobs in Georgia (NOW HIRING)

Kemper

Data Scientist

Alpharetta, GA · On-site +1

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 ...

micro1 AI

AI Training Specialist - Life Sciences

Macon, GA · Remote

$90 - $120/hr

Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science. * Experience collaborating in multidisciplinary or remote project environments is ...

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Data Science Entry Level Remote information

What challenges do 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, difficulty in collaborating on complex projects, and adjusting to asynchronous communication. To overcome these, it's important to proactively seek guidance from senior team members through regular check-ins, participate actively in team meetings and online forums, and document your work thoroughly for transparency. Leveraging collaborative tools like shared code repositories and communication platforms can also help maintain strong connections with your team and ensure project alignment.

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

To thrive as an entry-level remote Data Scientist, you need a solid background in statistics, programming (often Python or R), and data analysis, typically supported by a relevant degree or certification. Familiarity with tools like Jupyter Notebook, SQL databases, and machine learning libraries such as scikit-learn or TensorFlow is commonly required. Strong problem-solving abilities, communication skills, and self-motivation are crucial soft skills for remote collaboration and project management. These competencies enable effective data-driven insights, seamless teamwork, and measurable contributions in a distributed work environment.

What is the difference between Data Science Entry Level Remote vs Data Analyst Entry Level Remote?

AspectData Science Entry Level RemoteData Analyst Entry Level Remote
Required CredentialsBachelor's in CS, Statistics, or related field; some knowledge of programming and machine learningBachelor's in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentRemote, collaborative teams, often with cross-functional departmentsRemote, often working independently or with business teams
Employer & Industry UsageTech companies, finance, healthcare, e-commerceBusiness, marketing, finance, healthcare

While both roles are entry-level remote positions involving data, Data Science Entry Level Remote focuses on programming, machine learning, and predictive modeling, whereas Data Analyst Entry Level Remote emphasizes data visualization, reporting, and interpreting data for business insights. Candidates should choose based on their skills and career interests.

What is a data science entry level remote job?

Data science entry level remote jobs are positions suitable for individuals who are just starting their careers in data science and prefer or require the flexibility to work from home or any location outside the traditional office setting. These roles typically involve tasks such as data cleaning, basic statistical analysis, creating simple data visualizations, and assisting with machine learning projects under supervision. Entry level data scientists often work closely with more experienced team members and use tools like Python, R, SQL, and Excel. Remote roles require good communication skills and self-motivation, as collaboration happens online. These positions are a great way to gain practical experience and develop technical skills in the field of data science.

What are the most commonly searched types of Data Science Remote jobs in Georgia?

The most popular types of Data Science Remote jobs in Georgia are:

What are popular job titles related to Data Science Entry Level Remote jobs in Georgia?

For Data Science Entry Level Remote jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Data Science Entry Level Remote jobs in Georgia look for?

The top searched job categories for Data Science Entry Level Remote jobs in Georgia are:

What cities in Georgia are hiring for Data Science Entry Level Remote jobs?

Cities in Georgia with the most Data Science Entry Level Remote job openings:

Data Science Entry Level Remote jobs near you
Infographic showing various Data Science Entry Level Remote job openings in Georgia as of August 2026, with employment types broken down into 7% Internship, 66% Full Time, 16% Part Time, 3% Temporary, and 8% Contract. Highlights an 100% Remote job distribution.

Data Scientist

Kemper

Alpharetta, GA • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 28 days ago

Job description

Location(s)

Alpharetta, Georgia, Boston, Massachusetts, Charlotte, North Carolina, Chicago, Illinois, Cincinnati, Ohio, Dallas, Texas

Details

Kemper is one of the nation's leading specialized insurers. Our success is a direct reflection of the talented and diverse people who make a positive difference in the lives of our customers every day. We believe a high-performing culture, valuable opportunities for personal development and professional challenge, and a healthy work-life balance can be highly motivating and productive. Kemper's products and services are making a real difference to our customers, who have unique and evolving needs. By joining our team, you are helping to provide an experience to our stakeholders that delivers on our promises.

Position Summary:

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 for building and developing analytical solutions, especially in updating existing solutions.

Position Responsibilities:

  • Independentlydesignsanddevelops statistical models andanalytical solutions.
  • Develops andautomatesanalytical processes that can be deployedthroughoutthe organization to solve recurring analytics needs.
  • Communicates project progress and challenges to the working team.
  • Developsdatabase, technical,and businessknowledge.
  • Documents modeling assumptions, methodology, code, and analytical results clearly and consistently.
  • Participates in model reviews, code reviews, and technical discussions with data science peers.

Position Qualifications:

Minimum Job Requirements

  • Graduate degree inMathematics,Statistics,Engineering, or other STEM field with2-4 yearsofexperience working in a data science/analyticsenvironment.
  • PhD inMathematics,Statistics,Engineering, or other STEMfieldwith related industryexperiencepreferred.

Required Job Skills

  • Strong proficiency in Python, including experience with common data science libraries such as pandas, NumPy, scikit-learn, SciPy, and visualization libraries.
  • Proficiency writing and interpreting SQL queries for data extraction and analysis
  • Solid understanding of statistical modeling and machine learning concepts, including model training, validation, performance evaluation, and interpretation.
  • Hands-on experience with common statistical and machine learning techniques, such as generalized linear models, regularized regression, tree-based models, ensemble methods, clustering, or neural networks.
  • Ability to write readable, maintainable, and well-documented Python code.
  • Experience working with structured datasets from relational databases, delimited files, data frames, and other common data formats.
  • Excellent overall communication skills, particularly possessing the ability to translate technical results for wide audiences.
  • Ability to work independently on defined assignments while seeking guidance appropriately on complex or ambiguous problems.

Preferred Qualifications

  • Experience with time series modeling techniques, such as ARIMA, forecasting, or trend analysis
  • Prior experience in insurance, financial services, pricing, risk modeling, or a related analytical business environment is preferred but not required.
  • Experience with Git, GitLab, or other version control and collaborative development tools.
  • Exposure to cloud platforms such as AWS, Azure, Databricks, or similar environments.
  • Exposure to MLOps concepts such as model packaging, version control, CI/CD workflows, reproducible pipelines, and model deployment.

Other

  • Sponsorship is not accepted for this role
  • This role can be worked hybrid out of Richards, TX or Alpharetta, GA office. Remote options are available for non-local candidate.
  • The range for this position is $93,300 to $155,200. When determining candidate offers, we consider experience, skills, education, certifications, and geographic location among other factors. This job is eligible for an annual discretionary bonus and Kemper benefits (Medical, Dental, Vision, PTO, 401k, etc.)

Kemper is proud to be an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, disability status or any other status protected by the laws or regulations in the locations where we operate. We are committed to supporting diversity and equality across our organization and we work diligently to maintain a workplace free from discrimination. Kemper is focused on expanding our Diversity, Equity and Inclusion efforts to align with our vision, mission, and guiding principles. Kemper does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Kemper and Kemper will not be obligated to pay a placement fee.

Kemper will never request personal information, such as your social security number or banking information, via text or email. Additionally, Kemper does not use external messaging applications like WireApp or Skype to communicate with candidates. If you receive such a message, delete it.

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