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Remote Data Scientist Risk Jobs in Atlanta, GA (NOW HIRING)

Lead Data Engineer 2026- US

Atlanta, GA ยท On-site +1

$110K - $132K/yr

Do you enjoy working with clients from different industries to investigate complex business problems and to design end-to-end analytical solutions that will improve their existing processes and

Lead Data Engineer 2026- US

Atlanta, GA ยท On-site +1

$110K - $132K/yr

Do you enjoy working with clients from different industries to investigate complex business problems and to design end-to-end analytical solutions that will improve their existing processes and

Data Architect

Atlanta, GA ยท On-site +1

$61.25 - $78.75/hr

CompanyFederal Reserve Bank of St. Louis The Data Architect will lead the design and modernization of the data architecture that powers the economic data platforms of St. Louis based Research

AI Consulting Expert - Remote

Atlanta, GA ยท Remote

$100 - $200/hr

Job Title: AI Consulting Domain Remote Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Consulting Domain Experts to contribute their consulting expertise

At AIG, we are reimagining the way we help customers to manage risk. Join us as a the Director of Warranty Data Governance to play your part in that transformation. It's an opportunity to grow your

At Danaher Diagnostics, we are passionate about improving health care through fast, accurate diagnostic testing. Our mission drives us, every moment of every day, as we develop scalable,

Clinical Affairs Scientist

Turin, GA ยท On-site +1

$105K - $197K/yr

We are searching for an experienced Clinical Affairs Scientist (CAS) to work within the medical diagnostic field as a key member of the Organization of Chief Medical Officer(OCMO) Global Clinical

Job Title: Pharmacovigilance Expert Job Type: Contractor Location: Remote Job Overview We are seeking experienced Pharmacovigilance Experts to contribute their drug safety expertise to an innovative

Senior Data Analyst

Peachtree Corners, GA ยท On-site +1

$129K - $161K/yr

Let's talk about the Team The Brightree Analytics team delivers customer-facing analytics solutions that help providers make better decisions, improve operational performance, and achieve superior

Senior Data Analyst

Peachtree Corners, GA ยท On-site +1

$129K - $161K/yr

Let's talk about the Team The Brightree Analytics team delivers customer-facing analytics solutions that help providers make better decisions, improve operational performance, and achieve superior

Showing results 41-60

Remote Data Scientist Risk information

See Atlanta, GA salary details

$36.1K

$118K

$189K

How much do remote data scientist risk jobs pay per year?

As of Sep 13, 2026, the average yearly pay for remote data scientist risk in Atlanta, GA is $118,032.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,700.00 and $130,800.00 per year, depending on experience, location, and employer.

What job categories do people searching Remote Data Scientist Risk jobs in Atlanta, GA look for?

The top searched job categories for Remote Data Scientist Risk jobs in Atlanta, GA are:

Lead Data Engineer 2026- US

Atlanta, GA โ€ข On-site, Remote

Aimpoint Digital
51 - 200 employees

$110K - $132K/yr

Full-time

Re-posted 4 days ago


Job description

Do you enjoy working with clients from different industries to investigate complex business problems and to design end-to-end analytical solutions that will improve their existing processes and ability to derive data-driven insights?
Aimpoint Digital is a dynamic and fully remote AI and Data consultancy. We work alongside the most innovative software providers in the data engineering space to solve our clients' toughest business problems. At Aimpoint Digital, we believe in blending modern tools and techniques with tried-and-true principles to deliver optimal data engineering solutions.
You will:
  • Become a trusted data and AI advisor to our clients, from data owners and analytic users to executive stake holders helping them translate business questions into AI-ready data architectures
  • Work independently as part of a small team to solve complex data engineering use-cases across a variety of industries
  • Design and implement AI-optimized data platforms, including cloud data warehouses, lakehouses, ETL/ELT pipelines, orchestration jobs, and analytic layers that support LLM-driven analytics, natural language querying, and agent-based workflows
  • Build and evolve semantic and analytical layers that power tools like Snowflake Cortex, Databricks Genie, BI platforms, and emerging AI Copilots
  • Use modern platforms and tooling such as Snowflake, Databricks, dbt, Fivetran, and cloud-native orchestration frameworks to deliver scalable solutions, and credentialize your skills with certifications
  • Engineer modern ELT/ETL pipelines that handle structured, semi-structured, and unstructured data to support AI and analytics use cases
  • Design modern data models with an emphasis on metrics layers, knowledge graphs, and semantic consistency for AI consumption
  • Write production-ready code in SQL, Python, and Spark, following software engineering tools and best-practices such as Git and CI/CD
  • Apply AI-assisted data engineering techniques for data exploration, quality checks, schema generation, documentation, lineage, and transformation acceleration
  • Contribute to the evolution of our AI-forward data engineering and infrastructure practice, including internal accelerators, patterns, and client-ready architectures
  • Collaborate with analytics, data science, and ML project teams to productionize AI-enabled analytics, features, and inference pipelines. Note: You will not be developing machine learning models or algorithms

Who you are:
We are building a diverse team of talented and motivated people who deeply understand business problems and enjoy solving them. You are a self-starter who loves working with data to build analytical tools that business users can leverage daily to do their jobs better. You are passionate about contributing to a growing team and establishing best practices.
As a Lead Data Engineer, you will be expected to work independently on client engagements or to lead small team project delivery, take part in the development of our practice, aid in business development, and contribute innovative ideas and initiatives to our company.
  • Degree educated in Computer Science, Engineering, Mathematics, or equivalent experience
  • Experience with managing stakeholders and collaborating with customers
  • Strong written and verbal communication skills required
  • 5+ years working with relational databases and query languages
  • 5+ years building data pipelines in production and ability to work across structured, semi-structured and unstructured data
  • 5+ years data modeling (e.g. star schema, entity-relationship, data vault)
  • 5+ years writing clean, maintainable, and robust code in Python, Scala, Java, or similar coding languages
  • 5+ years' experience with dbt Core/Cloud preferred
  • Experience enabling or accelerating data platform engineering workflows with AI tools such as Codex, Claude, Copilot, Snowflake Cortex Code, and/or Databricks Genie Code preferred
  • Ability to manage an individual workstream independently and ability to manage a small 1-2 person team
  • Expertise in software engineering concepts and best practices
  • DevOps experience required
  • Experience working with cloud data warehouses (Databricks or Snowflake required)
  • 1 or more certifications in either Databricks or Snowflake strongly preferred
  • Experience working with cloud ETL/ELT tools (Fivetran, dbt, Matillion, Informatica, Talend, etc.) preferred
  • Experience working with cloud platforms (AWS, Azure, GCP) and container technologies (Docker, Kubernetes) preferred
  • Experience working with Apache Spark preferred
  • Experience preparing data for analytics and following a data science workflow to drive business results preferred
  • Consulting experience strongly preferred
  • Willingness to travel

We are actively seeking candidates for full-time, remote work within the US. Atlanta applicants will have the opportunity to work from headquarters in Sandy Springs, GA.