ZipRecruiter

Log In

2

Remote Data Science Jobs in Sandy Springs, GA (NOW HIRING)

Sonatype

Data Scientist

Atlanta, GA · On-site +1

Computer Science or equivalent technical degree strongly preferred * Strong Python skills and practical experience with data and AI libraries/platforms such as Databricks, and LLM APIs, scikit-learn

Revenue Analytics

Data Scientist

Atlanta, GA · On-site +1

$95K - $110K/yr

What You Will Bring: * 0-2 years of experience in data science, analytics, machine learning, or a ... related field, including internships, research, senior projects, or meaningful independent projects.

Worldpay

Principal Data Scientist

Atlanta, GA · On-site +1

$165K - $249K/yr

Candidates must be a US Citizen or Green Card Holder This position is remote in the Greater Boston ... Collaborate with other Data Science leaders toestablishan operating model for machine learning R&D ...

Omnissa

Senior Data Scientist

Atlanta, GA · On-site +1

$146K - $304K/yr

Lead the design and development of advanced data science and machine learning analytics models using structured, unstructured and semi-structured data. * Work with engineers to design and implement ...

Unum UK

Data Scientist II - CX Analytics

Atlanta, GA · On-site +1

In this role, you will focus on executing applied data science work-running analyses, supporting ... Current remote and field-based Unum employees may apply and will be considered in accordance with ...

Charter Global

Data Scientist

Atlanta, GA · Remote

... and remote resources to get the job done - consistently Here is the Job details: Title: Data ... Masters in mathematics, statistics or computer science or related field - Ph D. degree preferred 5 ...

Aimpoint Digital

Lead Data Engineer 2026- US

Atlanta, GA · On-site +1

$110K - $132K/yr

Aimpoint Digital is a dynamic and fully remote AI and Data consultancy. We work alongside the most ... Collaborate with analytics, data science, and ML project teams to productionize AI-enabled ...

Aimpoint Digital

Lead Data Engineer 2026- US

Atlanta, GA · On-site +1

$110K - $132K/yr

Aimpoint Digital is a dynamic and fully remote AI and Data consultancy. We work alongside the most ... Collaborate with analytics, data science, and ML project teams to productionize AI-enabled ...

Lennar

Lead Machine Learning Engineer - REMOTE

Atlanta, GA · Remote

$98K - $129K/yr

This is a key role on the Applied AI & Data Science team, sitting at the intersection of software ... Remote work schedule, with a preference for candidates based in Miami, FL; Bentonville, AR; or ...

previous pagenext page

Showing results 21-40

All JobsData Science JobsRemote Data Science JobsRemote Data Science Jobs in Sandy Springs, GA

Remote Data Science information

See Sandy Springs, GA salary details

$23.1K

$103K

$196.5K

How much do remote data science jobs pay per year?

As of Aug 18, 2026, the average yearly pay for remote data science in Sandy Springs, GA is $102,955.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,181.00 and $142,801.00 per year, depending on experience, location, and employer.

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.

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 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.

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.

Can I work remotely as a data scientist?

Yes, many data scientist roles are available as remote positions, especially in companies that prioritize flexible work arrangements. Remote data scientists typically need strong skills in programming, data analysis, and tools like Python or R, and may require familiarity with cloud platforms and collaboration tools. Availability depends on the employer's policies and the specific job requirements.
More about Remote Data Science jobs

What are the most commonly searched types of Data Science jobs in Sandy Springs, GA?

The most popular types of Data Science jobs in Sandy Springs, GA are:

What are popular job titles related to Remote Data Science jobs in Sandy Springs, GA?

For Remote Data Science jobs in Sandy Springs, GA, the most frequently searched job titles are:

What cities near Sandy Springs, GA are hiring for Remote Data Science jobs?

Cities near Sandy Springs, GA with the most Remote Data Science job openings:

Remote Data Science jobs near you
Infographic showing various Remote Data Science job openings in Sandy Springs, GA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $102,955 per year, or $49.5 per hour.

Data Scientist

Sonatype

Atlanta, GA • On-site, Remote

Full-time

Posted 12 days ago

Job description

Sonatype is the software supply chain management company that invented componentized software development and pioneered the software supply chain category. As leaders in the open-source community and the DevSecOps industry, we run the world's largest repository of Java open-source components-Maven Central.

Our groundbreaking, full-spectrum platform empowers customers to rapidly create, deploy, and maintain innovative software at scale, all while aligning directly to their business needs. Trusted by more than 2,000 organizations-including 70% of the Fortune 100-and over 15 million software developers, Sonatype's tools and guidance help deliver exceptional, secure software.

From inventing modern artifact management with Nexus Repository to introducing the world's only solution that halts malicious open-source malware in its tracks, we're committed to constant innovation. We leverage AI/ML to give our clients, developers, and the industry complete confidence in the quality, automation, and security of their software. 

Learn more at www.sonatype.com

The Role

We're looking for a Data Scientist to join our growing AI & Data Science team. You'll operate as an internal AI consultant and technical lead, helping multiple teams across Sonatype apply machine learning and generative AI to real-world problems - from malicious-behavior and anomaly detection in our security data, to developer- and analyst-facing GenAI experiences.

You'll explore complex datasets, design experiments, build and validate models, and collaborate closely with product, engineering, and security experts to turn research ideas into practical, scalable solutions. We have a mature data engineering team, so you can focus on doing what you do best - building and shipping models.

This role is ideal for someone who thrives on autonomy, loves translating ambiguous ideas into working systems, and enjoys working across boundaries rather than staying in a single product lane.

What you'll do:

  • Lead applied AI projects from concept to impact - prototype, validate, and help teams deploy practical ML and GenAI solutions.

  • Act as an internal consultant across product, engineering, security, and research teams: scope problems, evaluate approaches, and advise on ML/AI best practices and productive use of generative technologies.

  • Lead the research, development, and deployment of models for use cases such as malicious behavior detection, anomaly detection, and fraud analysis - using techniques ranging from classical ML to LLMs, embeddings, retrieval-augmented generation, and agentic workflows.

  • Design robust experiments and establish evaluation pipelines for model reliability, accuracy, and business impact (cross-validation, drift monitoring, ground-truth evaluation).

  • Bridge research and production: translate research insights into scalable APIs, tools, or workflows that enable other teams to adopt AI effectively.

  • Explore new techniques (LLMs, embeddings models, RAG, agentic workflows) to enhance developer and security experiences.

  • Communicate technical concepts, tradeoffs, and recommendations clearly to both technical and non-technical stakeholders through presentations, documentation, and collaboration; mentor peers and help elevate the organization's AI literacy and capabilities.

  • Partner with our data governance team to ensure compliance with data-privacy regulations and ethical considerations when working with customer data.

What you bring:

  • 5+ years of hands-on experience in applied data science, machine learning, AI engineering, or AI research.

  • Computer Science or equivalent technical degree strongly preferred

  • Strong Python skills and practical experience with data and AI libraries/platforms such as Databricks, and LLM APIs, scikit-learn

  • Experience building and shipping ML or GenAI applications-from early prototype through usable internal or customer-facing workflows.

  • Deep familiarity with modern LLM ecosystems, including OpenAI, Anthropic/Claude, Hugging Face, and open-weight models.

  • Ability to select models and design effective LLM applications using prompting, context management, structured outputs, retrieval, and tool use.

  • Experience building agentic or multi-step AI workflows with LangGraph, LangChain, Semantic Kernel, or similar orchestration frameworks.

  • Strong evaluation mindset: defining useful quality metrics, building representative evaluation datasets, assessing reliability, and making data-driven tradeoffs.

  • Comfortable working with large, messy, structured, and unstructured data to produce features, insights, and clear visualizations.

  • Proficiency with Git, testing, code review, and collaborative software-development practices.

  • Practical, balanced judgment: comfortable exploring emerging AI capabilities while building maintainable, secure, dependable systems.

  • Proactive and accountable, with strong written and verbal communication skills across technical and non-technical partners.

It'd be great if you had:

  • Strong MLOps experience, including MLflow or comparable tooling, experiment tracking, reproducible pipelines, model/application versioning, CI/CD, serving, and production monitoring.

  • Experience operating ML or GenAI systems at scale, including observability, tracing, incident response, and data or model-drift detection.

  • Experience with Databricks ML, AWS SageMaker, Azure ML, or similar managed ML platforms.

  • Familiarity with MCP, agent-tool integrations, LLM guardrails, and production safety practices.

  • Experience with AI-assisted development tools such as Copilot, Claude Code, or Codex.

  • Exposure to cybersecurity, fraud detection, anomaly detection, code analysis, or software supply-chain security.

  • Experience with PySpark and production data pipelines.

  • Experience working within a software product company or SaaS.

Things we're proud of:
  • 2026 Gartner Magic Quadrant Leader for Software Supply Chain Security
  • 2026 Celebrating 15 Years of Sonatype Research Labs - Industry-leading software supply chain and open source security research
  • 2026 Founding Member of the Linux Foundation Initiative for Open Source Sustainability
  • 2026 State of the Software Supply Chain Report - Continuing industry leadership in software supply chain security and AI security research
  • 2025 Visionary in Gartner Magic Quadrant for Application Security Testing!
  • 2025 AI Compliance Solution of the Year - AI Breakthrough Awards
  • 2025 DEVIES Award to our SBOM Manager for a new product for its innovation and impact in developer technology
  • 2024 Industry Leader in Forrester-Wave for Software Composition Analysis (2024 Q4 report)
  • Constellation AST Shortlist: Sonatype has been listed on the Constellation ShortList for Application Security Testing for 2024
  • Data Breakthrough Awards: Sonatype was announced as a 2024 winner in the "Open Source Data Solution of the Year."
  • SD Times: Best in Show Security
  • Fast Company Best Workplaces for Innovators 2024
  • The Herd Top 100 Private Software Companies 2024
  • Diversity & Inclusion Working Groups
  • Parental Leave Policy
  • Paid Volunteer Time Off (VTO)
At Sonatype, we value diversity and inclusivity. We offer perks such as parental leave, diversity and inclusion working groups, and flexible working practices to allow our employees to show up as their whole selves. We are an equal-opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you have a disability or special need that requires accommodation, please do not hesitate to let us know.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
apply for this job

Apply