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Entry Level Data Scientist Remote Jobs in Georgia

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 ...

PrizePicks

Data Engineer

Atlanta, GA · On-site +1

$105K - $140K/yr

This is an entry-level role where you will work on well-defined pipeline and data tasks under ... A bachelor's degree in Computer Science, Mathematics, or a related quantitative field, or ...

IQVIA

Data Analytics Analyst II

Atlanta, GA · Remote

$56K - $140K/yr

... life sciences industry. IQVIA possesses the largest and most comprehensive set of healthcare data ... A willingness or ability to travel as needed ( This is a remote / WFH role open to candidates ...

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Entry Level Data Scientist Remote information

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.

Will AI replace data scientists?

AI is transforming the role of data scientists by automating routine tasks like data cleaning and basic analysis, but it is unlikely to fully replace them. Data scientists are needed to interpret complex results, develop models, and make strategic decisions that require domain expertise and critical thinking. Skills in programming, statistical analysis, and machine learning remain essential for the role, especially in an evolving AI landscape.

Is 40 too late for data science?

Entry level data scientists can start at any age, including 40, as the field values skills like programming, statistics, and data analysis that can be learned at any stage. Many professionals successfully transition into data science later in their careers by gaining relevant certifications and building a portfolio of projects.

How can I make $2000 a week working from home?

An entry level data scientist working remotely can increase earnings by gaining in-demand skills like machine learning and data analysis, obtaining relevant certifications, and working on multiple freelance projects or consulting. Building a strong portfolio and leveraging platforms like Upwork or Kaggle can also help secure higher-paying opportunities. Earning $2000 weekly typically requires consistent project work and advanced skills in data tools and programming languages.

Can I get a data scientist job with no experience?

Entry level data scientist roles often require some knowledge of programming languages like Python or R, and familiarity with data analysis tools and techniques. While prior experience is not always mandatory, demonstrating relevant skills through projects, certifications, or coursework can improve chances of securing such positions. Employers may also consider internships or bootcamps as valid experience for entry level roles.

What are the key skills and qualifications needed to thrive as an Entry Level Data Scientist (Remote), and why are they important?

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 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 popular job titles related to Entry Level Data Scientist Remote jobs in Georgia? For Entry Level Data Scientist Remote jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Scientist Remote jobs in Georgia look for? The top searched job categories for Entry Level Data Scientist Remote jobs in Georgia are:
What cities in Georgia are hiring for Entry Level Data Scientist Remote jobs? Cities in Georgia with the most Entry Level Data Scientist Remote job openings:
Entry Level Data Scientist Remote jobs near you
Infographic showing various Entry Level Data Scientist Remote job openings in Georgia as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.
Data Scientist

Data Scientist

Kemper

Alpharetta, GA • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 8 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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