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

Data Analyst

Columbus, GA ยท On-site +1

$52K - $80K/yr

If the role is remote, there may be occasions that you are requested to come to the office based on ... Bachelor's Degree in Analytics, Computer Science or a related field. * 0 - 2+ years of job-related ...

Data Analyst

Columbus, GA ยท On-site +1

$52K - $80K/yr

If the role is remote, there may be occasions that you are requested to come to the office based on ... Bachelor's Degree in Analytics, Computer Science or a related field. * 0 - 2+ years of job-related ...

Impiricus Intern

Atlanta, GA ยท On-site +1

$25/hr

Atlanta, GA, New York, NY, or Remote Who We Are Impiricus is the first and only AI-powered HCP ... Any major considered; coursework or interest in Business, Marketing, Data Science, Computer Science ...

Sr Data Analyst

Columbus, GA ยท On-site +1

$70K - $105K/yr

If the role is remote, there may be occasions that you are requested to come to the office based on ... Bachelor's Degree in Analytics, Computer Science or a related field. * 2+ years of job-related ...

Remote based in the US Hours: Approximately 5h per week Role: Clinical Specialist Start: immediate ... Our mission is to combine data science and human expertise to transform healthcare worldwide. We ...

Showing results 21-40

Data Science Entry Level Remote information

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 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 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 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 August 2026, with employment types broken down into 33% Full Time, and 67% Part Time. Highlights an 100% Remote job distribution.

Applied AI Engineer Co-op - Spring 2027 (January Start)

General Electric Company

Atlanta, GA โ€ข Remote

$20/hr

Full-time

Posted 4 days ago


Job description

Job Description SummaryAt GE Aerospace, our AI engineers don't just support projects - they help drive them. From day one, interns and co-ops take on real-world challenges, owning work from start to finish and building solutions that connect data, tools, cloud, AI, and engineering to advance the future of flight.
As an intern, you'll build expertise in cloud platforms, databases, data engineering, web design, Al technologies, and numerical methods to solve real-world engineering problems. Through hands-on projects, you'll work with the Innovator Method, Game Theory, and DecisionIQ, turning customer insights into impactful solutions. You'll have the opportunity to learn, contribute, and bring real business value and help shape the future of aerospace design.Job Description

What You will Do

  • Develop technical solutions for engineers to evaluate and adopt data and AI solutions.

  • Consult on architecture, implement proof of concepts and deliver solutions for business strategic projects, including data science and machine learning systems.

  • Build and present product architectures, write technical code, and demo applications to stakeholders.

  • Gain hands-on experience with the Innovator Method, Game Theory, and DecisionIQ and turn customer insights into solution that deliver real business value.

  • Sharpen your skills in cloud platforms, databases, data engineering, web design, AI technologies, and numerical methods.

  • Use your strengths to support team members and build cross-functional relationships across the company.

  • Work to ship solutions to production that meet business needs and drive impact.

Our culture thrives on innovation, diversity, and deep collaboration. You'll contribute as both a learner and a builder, helping us push the design frontier in aerospace.

Qualifications

  • Currently enrolled in a Bachelor's degree program in Computer Science, Aerospace Engineering, Mechanical Engineering; or a related field at an accredited university or credentialed software accelerator program.

  • Minimum 3.7 cumulative GPA off a 4.0 scale without rounding

No prior work experience is required.

Desired Characteristics

  • Strong academic performance in Computer Science or other STEM disciplines

  • Experience designing AI solutions and architecting distributed data systems

  • Proficiency in programming and debugging with Python, C#, C++, and SQL

  • Customer-centric mindset with ability to lead design thinking workshops

  • Hands-on experience in at least one of the following areas: Machine Learning, Large Language Models (LLMs), or Computer Vision

  • Experience building solutions using public cloud platforms such as AWS or Azure

  • AWS and/or Azure certification

About The Internship

  • Location: Remote

  • Pay rates for this position begin at $20/hour and increase for each undergraduate year completed. Relocation support and housing assistance is available for those who relocate to a new city.

  • Travel Opportunities

  • Real-world project ownership

  • Mentorship from experienced engineers

  • Opportunity for return offers

Equal Opportunity Employer

GE Aerospace offers a great work environment, professional development, challenging careers, and competitive compensation. GE Aerospace is anEqual Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

#LI-Remote - This is a remote position

Additional Information

GE Aerospace offers a great work environment, professional development, challenging careers, and competitive compensation. GE Aerospace is anEqual Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

GE Aerospace will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Employees may also be subject to random and reasonable-suspicion drug and alcohol testing.


Relocation Assistance Provided: No

#LI-Remote - This is a remote position