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Remote Data Science 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 ...

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 ...

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 ...

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Remote Data Science information

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

To thrive as a Remote Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid background in mathematics or computer science, often supported by a relevant degree. Expertise in programming languages such as Python or R, familiarity with machine learning libraries, and experience with cloud-based data platforms are typically required. Excellent communication, self-motivation, and time management skills help you effectively collaborate and deliver results in a remote environment. These skills ensure accurate data analysis, meaningful insights, and successful teamwork despite physical distance.

How do remote data scientists typically collaborate with cross-functional teams to deliver insights?

Remote data scientists often work closely with product managers, engineers, and business analysts using digital collaboration tools such as Slack, Zoom, and project management platforms. Regular virtual meetings, code sharing via Git repositories, and clear documentation are essential to ensure alignment and transparency. While working remotely can present challenges in communication, proactive updates and scheduled syncs help foster strong teamwork and keep projects on track.

Can I work remotely in data science?

Yes, data science is a field that often offers remote work opportunities. Many companies hire data scientists to work remotely, requiring skills in programming, data analysis, and tools like Python or R. Remote data science roles typically involve collaboration through online platforms and may require strong communication skills.

What is remote data science?

Remote data science refers to the practice of performing data analysis, modeling, and interpretation tasks from a location outside of a traditional office, such as from home or a co-working space. Remote data scientists use tools like Python, R, and SQL to analyze data, build predictive models, and communicate insights to stakeholders, all while collaborating virtually with their teams. This setup offers flexibility and can increase access to global job opportunities, but also requires strong self-motivation and communication skills to be effective.

Can a data scientist work fully remote?

Yes, many data scientists work fully remote, especially in companies that prioritize flexible work arrangements. Remote data science roles often require strong communication skills, proficiency with collaboration tools, and the ability to work independently on projects using programming languages like Python or R. However, some positions may require occasional in-person meetings or on-site presence depending on company policies.

Is 40 too late for data science?

Remote data science roles are open to candidates of various ages, and starting a career at 40 is possible with relevant skills in programming, statistics, and machine learning. Many professionals transition into data science later in life by gaining certifications and building portfolios, making age less of a barrier in this field.

What Are the Qualifications to Get a Remote Data Science Job?

The qualifications for a remote data scientist depend in large part on your employer and their industry. Most employers expect remote data science professionals to have at least a bachelor’s degree in statistics, math, computer science, or a related field. Some expect postgraduate degrees in a field like data mining or machine learning or demonstrable skills in these areas. As a remote worker, you need access to relevant programs and an internet connection. You may also want to pursue certification, such as becoming a Certified Analytics Professional (CAP).

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

AspectRemote Data ScienceRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; programming skills in Python/R; knowledge of machine learningDegree in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, research-focused, often involves building models and algorithmsData reporting, visualization, and interpreting data trends for decision-making
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, retail, finance, healthcare

Remote Data Science involves developing predictive models and advanced analytics, requiring programming and machine learning skills. Remote Data Analysts focus on interpreting data, creating reports, and visualizations. While both roles analyze data remotely, Data Scientists typically handle more complex modeling tasks, whereas Data Analysts focus on data interpretation and reporting.

How can I make $100,000 a year working from home?

Remote data scientists can earn $100,000 or more annually by gaining advanced skills in machine learning, programming languages like Python or R, and data visualization tools. Building a strong portfolio, obtaining relevant certifications, and gaining experience in high-demand industries can help achieve this income level while working remotely.
More about Remote Data Science jobs
What are the most commonly searched types of Data Science jobs in Georgia? The most popular types of Data Science jobs in Georgia are:
What are popular job titles related to Remote Data Science jobs in Georgia? For Remote Data Science jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Remote Data Science jobs in Georgia look for? The top searched job categories for Remote Data Science jobs in Georgia are:
What cities in Georgia are hiring for Remote Data Science jobs? Cities in Georgia with the most Remote Data Science job openings:
Remote Data Science jobs near you
Infographic showing various Remote Data Science job openings in Georgia as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 1% Temporary, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

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.

Apply