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Remote Data Science Intern Jobs in Georgia (NOW HIRING)

Fetcherr

VP Engineering

Atlanta, GA · On-site +1

$173K - $223K/yr

Proven ability to align with other teams in the R&D organization, especially remote teams. Technical Depth * Strong background in data engineering, analytics and data science. * Proven experience in ...

Trella Health

You'll partner closely with data science, engineering, and GTM teams to ship AI-powered analytics ... This role is remote with a strong preference for candidates within commuting distance of Atlanta ...

New

CSAA

You will partner with Data Engineering, Data Science, Architecture, Infrastructure, Security, and ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

Kemper

Data Quality Engineer

Alpharetta, GA · Remote

$111K - $134K/yr

... Remote-OH, Remote-PA, Remote-RI, Remote-VA Details Kemper is one of the nation's leading ... Bachelor's degree in Computer Science, Information Systems, or a related field; equivalent work ...

New

Deckers

United States (Remote) Interested applicants must reside in one of the following approved states ... Bachelor's degree required, preferably in Computer Science, Engineering, or related technical field;

RELX

Responsible AI Framework Specialist

Alpharetta, GA · On-site +1

$71K - $119K/yr

Candidate can be hybrid from one of our offices or remote in the US. Responsibilities * Assist in ... Collaborate with cross-functional teams, including data science, product, market planning ...

Oscar Health

Director, Medical Economics

Atlanta, GA · Remote

$178K - $234K/yr

... and data science when appropriate, while maintaining deep understanding and ownership over your ... This is a remote position, open to candidates who reside in: Atlanta, GA. You will be fully remote ...

Oscar Health

Director, Medical Economics

Atlanta, GA · Remote

$178K - $234K/yr

... and data science when appropriate, while maintaining deep understanding and ownership over your ... This is a remote position, open to candidates who reside in: Atlanta, GA. You will be fully remote ...

CSAA

... Data Science, Technology, Actuarial, Legal, and Compliance - the Product Manager III envisions ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

Kraft & Kennedy

Intern Technical (MSP)

Atlanta, GA · Remote

$17/hr

This part-time paid Intern position will work closely with co-workers, senior technical staff and ... The position is remote. We are hiring for the following schedules: * 1 position-Monday-Friday, 10am ...

Kraft & Kennedy

Intern Technical (MSP)

Atlanta, GA · On-site +1

$17/hr

This part-time paid Intern position will work closely with co-workers, senior technical staff and ... The position is remote. We are hiring for the following schedules: * 1 position-Monday-Friday, 10am ...

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All JobsData Science Intern JobsRemote Data Science Intern JobsRemote Data Science Intern Jobs in Georgia

Remote Data Science Intern information

What is a Remote Data Science Intern?

A Remote Data Science Intern is a student or recent graduate who works with a company or organization on data science projects while working from a location outside the main office, typically from home. Their tasks often include analyzing large datasets, creating data visualizations, building statistical models, and supporting the team with data-driven insights. Remote internships offer flexibility and allow interns to gain real-world experience in data science while collaborating with teams using digital communication and project management tools. This type of internship helps interns build valuable technical and soft skills that are essential in the evolving data science field.

What types of projects do Remote Data Science Interns typically work on, and how do they collaborate with their teams?

Remote Data Science Interns often work on projects such as data cleaning, exploratory data analysis, building predictive models, or developing data visualizations. Collaboration typically occurs through virtual meetings, shared code repositories, and project management tools, allowing interns to interact regularly with data scientists, engineers, and business analysts. Interns are usually assigned a mentor or supervisor who provides guidance and feedback, helping them align their work with team objectives. This setup not only enhances technical growth but also fosters communication and teamwork skills essential for future roles.

What is the difference between Remote Data Science Intern vs Remote Data Analyst?

AspectRemote Data Science InternRemote Data Analyst
Required CredentialsTypically pursuing or recently completed a degree in Data Science, Computer Science, or related fieldsOften holds a degree in Statistics, Mathematics, or related areas; may have certifications in data analysis tools
Work EnvironmentInternship programs, often part-time or project-based, with mentorshipFull-time or part-time remote roles, focusing on data interpretation and reporting
Employer & Industry UsageUsed by tech companies, startups, and research institutions for entry-level talentCommon across finance, marketing, healthcare, and tech industries for data-driven decision making

The main difference between a Remote Data Science Intern and a Remote Data Analyst lies in experience and scope. Interns are typically students or recent graduates gaining hands-on experience, while Data Analysts are more experienced professionals focused on analyzing and interpreting data to support business decisions. Both roles often work remotely and require familiarity with data tools, but their responsibilities and career stages differ.

What are the key skills and qualifications needed to thrive as a Remote Data Science Intern, and why are they important?

To thrive as a Remote Data Science Intern, you need a solid background in statistics, programming (Python or R), and data analysis, typically supported by coursework in data science or related fields. Familiarity with tools like Jupyter Notebook, SQL databases, and version control systems such as Git is often expected. Strong problem-solving abilities, self-motivation, and clear communication skills help you collaborate effectively and manage tasks independently in a remote setting. These skills ensure you can analyze data accurately, contribute to team projects, and adapt to the demands of remote work environments.
What are the most commonly searched types of Remote Data Science jobs in Georgia? The most popular types of Remote Data Science jobs in Georgia are:
What are popular job titles related to Remote Data Science Intern jobs in Georgia? For Remote Data Science Intern jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Remote Data Science Intern jobs in Georgia look for? The top searched job categories for Remote Data Science Intern jobs in Georgia are:
What cities in Georgia are hiring for Remote Data Science Intern jobs? Cities in Georgia with the most Remote Data Science Intern job openings:
Remote Data Science Intern jobs near you

VP Engineering

Fetcherr

Atlanta, GA • On-site, Remote

$173K - $223K/yr

Full-time

Posted 24 days ago

Job description

Description
Fetcherr builds responsible AI that transforms market complexity into measurable profit growth. At the core of the company is the Market Model - a proprietary AI-powered model delivering accurate, granular demand predictions with 96% forecast accuracy and real-time decision intelligence for commercial teams. Built on a glass-box architecture, it uses market data - not personal data - with full transparency into logic and outcomes. First deployed in global aviation, the technology is industry-agnostic and scales across volatile markets. Fetcherr delivers a consistent average profit uplift of 7%, with corporate partners including Delta, Virgin Atlantic, WestJet, Viva, and Azul.
As VP Engineering, you will serve as a senior technical and organizational leader, helping to scale Fetcherr's data-driven products and engineering capabilities. This is a hybrid role combining technical authority, strategic vision, and operational excellence. You will co-lead the R&D organization, work directly with customers, and be instrumental in shaping cross-functional, product-focused engineering teams.
We're looking for a leader who's both visionary and hands-on, able to drive execution, foster innovation, and build high-performance engineering cultures at scale.
Responsibilities:
Strategic & Technical Leadership
  • Act as a senior technical authority in data architecture, analytics, monitoring, and system design.
  • Report to the CTO and collaborate with Sr. peers to define and execute the company's technical roadmap.
  • Drive execution, innovation, process improvement, and change management across engineering and data science teams.
  • Scale the R&D team in line with Fetcherr's rapid growth.
  • Drive the effective usage of state of the art AI tools for improving productivity and scaling the team capabilities.

Engineering & Operational Excellence
  • Design and refine engineering processes to improve reliability, velocity, and quality.
  • Champion data quality, validation, and analytics engineering practices.
  • Deliver the commitments according to customer requirements and timelines.
  • Drive productivity and quality, also through the best practice leverage of AI tools and agentic coding.

Customer & Product Alignment
  • Serve as a technical interface to product management, understanding the customer needs and translating them into product development execution and technical strategies.
  • Represent R&D in customer discussions, guiding prioritization and product development with a real-world impact lens.

People & Culture
  • Lead a local team while collaborating with remote and distributed teams, fostering alignment, engagement, and accountability.
  • Promote a collaborative, analytical and data driven, hands-on culture across engineering, data science, and product.
  • Partner closely with product and data stakeholders to deliver scalable, production-grade AI solutions.

Requirements
Leadership & Management
  • 2+ years managing team leads in a VP role.
  • Experience growing R&D teams at a startup or high-growth tech company.
  • Proven ability to lead cross-functional teams.
  • Proven ability to align with other teams in the R&D organization, especially remote teams.

Technical Depth
  • Strong background in data engineering, analytics and data science.
  • Proven experience in cloud-native architectures (preferably GCP).
  • Experience in scaling systems, improving CI/CD,
  • Big plus: working with ML or real-time data products.

Communication & Influence
  • Ability to motivate, mentor, and grow high-performing teams, promoting accountability and extreme ownership throughout the teams.
  • Strong communicator who can align technical and business stakeholders.
  • Excellent English skills (spoken and written) - able to clearly communicate with global teams, customers, and leadership.
  • Comfortable engaging directly with customers, partners, and executives.

Mindset & Approach
  • Hands-on and detail-oriented, with a "roll up your sleeves" attitude.
  • Strategic thinker who can balance short-term wins with long-term scalability.
  • Passion for building impactful, AI-driven products.

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