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

Master's degree in Data Science, Computer Science, Business Analytics or closely related field * 1 ... Flexible Work Schedules #LI-Remote Welcome to impact. Welcome to innovation. Welcome to your new ...

Master's degree in Data Science, Computer Science, Business Analytics or closely related field * 1 ... Flexible Work Schedules #LI-Remote Welcome to impact. Welcome to innovation. Welcome to your new ...

Python MLOps Engineer

Atlanta, GA · Remote

$65 - $75/hr

Remote Reference ID: JN -052026-106781 Date Posted: 05/05/2026 Shortcut: * Description ... This work enables the senior data scientist to concentrate on model development while you drive ...

Remote employee - Works from locations outside traditional office, often from home or another ... Education - Bachelor's degree in Computer Sciences, HIM, Data analytics, * Nursing Experience - 4 ...

CDCE Data Analyst

Atlanta, GA · Remote

$52.37 - $65.06/hr

Remote employee - Works from locations outside traditional office, often from home or another ... Education - Bachelor's degree in Computer Sciences, HIM, Data analytics, * Nursing Experience - 4 ...

New

Remote employee - Works from locations outside traditional office, often from home or another ... Education - Bachelor's degree in Computer Sciences, HIM, Data analytics, * Nursing Experience - 4 ...

Remote employee - Works from locations outside traditional office, often from home or another ... Education - Bachelor's degree in Computer Sciences, HIM, Data analytics, * Nursing Experience - 4 ...

New

Sam QA Analyst The SAM QA Analyst day-to-day activities include partnering with engineers, data scientists, and product owners to understand and validate the technical and functional architecture for ...

Data Engineer (AI)

Atlanta, GA · Remote

$110.10K - $132.20K/yr

Remote Company: Oncolens About Oncolens It is hard to find someone in today's world who hasn't been ... We deliver tech-based solutions for cancer care professionals and life science companies to improve ...

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Data Science Entry Level Remote information

What are the key skills and qualifications needed to thrive as an entry-level remote Data Scientist, and why are they important?

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 are some typical 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, 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 are data science entry level remote jobs?

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 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 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:
Infographic showing various Data Science Entry Level Remote job openings in Georgia as of May 2026, with employment types broken down into 78% Full Time, 14% Part Time, 3% Temporary, and 5% Contract. Highlights an 100% Remote job distribution.

HR Data Analyst, Talent Analytics

LivaNova

Atlanta, GA • Remote

$90K - $106K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago


Job description

As a global medtech company, we are driven by our Vision of changing the trajectory of lives for a new day and our Mission to create ingenious solutions that ignite patient turnarounds. Our relentless commitment to patients and strong legacy of innovation in healthcare are the foundation of our future. If you're looking for a new chance, a new beginning, a new trajectory, LivaNova is where your talent can truly thrive. Join our talented team members worldwide to become a pioneer of tomorrow-because at LivaNova, we don't just treat conditions - we aspire to alter the course of lives.

POSITION SUMMARY:

The HR Data Analyst, Talent Analytics will carry out overall strategy for employee data at LivaNova to support the need for data-driven decision-making regarding workforce productivity, engagement and better returns from recruitment and learning investments in the company.

KEY RESPONSIBILITIES:

  • Compile, structure, and analyze data from HRIS, payroll and Finance systems to develop insights and conclusions that help streamline HR processes throughout the company.

  • Work with the full data analysis pipeline including data cleaning, process documentation, and communicating results via report writing and visualization.

  • Participate actively in HR Business Intelligence including project intake, visualization tools, quality assurance, and storytelling. Interpret employee data to identify significant differences, relationships, and trends in data, as well as factors that could affect the results of research.

  • Identify statistical analysis techniques required to deliver insights.

  • Advance the use of complex analytical techniques and statistical thinking.

  • Design and implement data models using statistical principles (e.g., regression, correlation) and develop predictive models for attrition, performance, and recruiting demand.

  • Produce concise, story-driven presentations to communicate analytic insights.

  • Collect and share information on government labor statistics and external benchmarks.

  • Continually analyze competitor practices to make appropriate recommendations to upper management.

  • Partner with HR leaders to design research plans, develop hypotheses, collect data, and run various statistical models.

  • Help recruiters by providing relevant data, statistics, trends, and patterns to make the recruiting process more efficient. Similar for talent development, total rewards and employee experience (e.g. retention) practices.

  • Collaborate with subject matter experts across the HR service areas (e.g. Talent Development, Total Rewards and Talent Acquisition), as well as HR leadership, to promote data governance and stewardship, and to improve overall strategic and operational performance and insight.

  • Work with the HR business partner for organizational development (e.g. organization levels, structure, teams, span of control) and partner with colleagues and customers to achieve meaningful discussions regarding data outputs and feedback on usage activities to improve HR output.

  • Educate the HR team on analytical findings, general data and data management best practices.

  • Interact with professional and community groups related to analytics and business intelligence and maintain strong internal and external networks of peers to stay always ahead of the curve.

ESSENTIAL KNOWLEDGE & EXPERIENCE:

  • Master's degree in Data Science, Computer Science, Business Analytics or closely related field

  • 1 year of experience as a Human Resources Analyst or HR Data Analyst

  • The Master's degree program must have included courses in Data Mining, Data-Driven Quality Management, Analytical Decision Modeling and provided technical hands-on experience with statistics, data analytics, data visualization (QLIK, Tableau or ggplot2), business intelligence, reporting and software experience with R or Python, a range of data types of various structures and sizes, and an understanding of the differences and use cases for interpretable vs. black box models.

Pay Transparency:A reasonable estimate of the annual base salary for this position is $90,000 - $106,000 + discretionary annual bonus. Pay ranges may vary by location.

Employee benefits include:

Health benefits - Medical, Dental, Vision

Personal and Vacation Time

Retirement & Savings Plan (401K)

Employee Stock Purchase Plan

Training & Education Assistance

Bonus Referral Program

Service Awards

Employee Recognition Program

Flexible Work Schedules

#LI-Remote

Welcome to impact. Welcome to innovation. Welcome to your new life.