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Data Science Assistant Jobs in Georgia (NOW HIRING)

LexisNexis

Senior Data Scientist II

Alpharetta, GA · On-site

Do you thrive in senior, hands-on data science roles where you apply deep healthcare domain ... to assist them in evaluating and predicting risk and enhancing operational efficiency. Our ...

Southern Company

Data Scientist (All Levels)

Atlanta, GA · On-site

... assistants). * Drive workforce enablement (training, playbooks, coaching) to elevate AI adoption ... Master's degree in analytics, statistics, data science, computer science, or a related quantitative ...

Southern Company

Data Scientist (All Levels)

Atlanta, GA · On-site

... assistants). * Drive workforce enablement (training, playbooks, coaching) to elevate AI adoption ... Master's degree in analytics, statistics, data science, computer science, or a related quantitative ...

LexisNexis

Senior Data Scientist I

Alpharetta, GA · On-site

Would you like to apply advanced actuarial science and machine learning to build predictive models ... to assist them in evaluating and predicting risk and enhancing operational efficiency. Our ...

RELX Group plc

Senior Data Scientist I

Alpharetta, GA · On-site

Would you like to apply advanced actuarial science and machine learning to build predictive models ... to assist them in evaluating and predicting risk and enhancing operational efficiency. Our ...

LexisNexis

Sr Data Scientist I (Hybrid)

Alpharetta, GA · On-site

Would you like to apply advanced actuarial science and machine learning to build predictive models ... to assist them in evaluating and predicting risk and enhancing operational efficiency. Our ...

CYNET SYSTEMS

Data Engineer

Alpharetta, GA

$55/hr

... Assist AI and Agent Desktop aligned initiatives. * This role focuses on prompt engineering model ... The ideal candidate must have data science and machine learning foundations with strong Python and ...

Verizon

Principal Data Scientist

Alpharetta, GA · On-site

You are responsible for leading the design of data science products while thinking strategically ... Utilize advanced coding assistants like Claude Code within VS Code to automate boilerplate and ...

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Data Science Assistant information

What are Data Science Assistants?

Data Science Assistants are professionals who support data scientists and analytics teams by handling tasks such as data collection, data cleaning, preparing datasets, conducting preliminary analyses, and creating visualizations. They often work with large datasets, assist in maintaining data integrity, and help automate routine processes. Their role allows data scientists to focus on more complex modeling and analytical work, making the overall workflow more efficient. Data Science Assistants typically have a foundational understanding of statistics, programming (such as Python or R), and data management tools.

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

To thrive as a Data Science Assistant, you need a solid understanding of statistics, data analysis, and programming (often with a background in mathematics, computer science, or a related field). Familiarity with tools like Python or R, data visualization software, and experience with databases or spreadsheet systems are typically required. Attention to detail, strong problem-solving abilities, and effective communication set outstanding candidates apart. These skills are crucial for supporting data-driven decision-making and ensuring accurate, actionable insights for organizations.

How does a Data Science Assistant typically collaborate with data scientists and other team members on projects?

As a Data Science Assistant, you will frequently support data scientists by preparing datasets, conducting preliminary data analysis, and creating visualizations. You will often work closely with analysts, engineers, and subject matter experts to gather requirements and ensure data is cleaned and formatted appropriately. Collaboration is a key part of the role, as you may participate in team meetings, share findings, and help with documentation to keep projects running smoothly. This supportive environment provides an excellent opportunity to learn from experienced professionals and gain exposure to the full data science workflow.

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

AspectData Science AssistantData Analyst
Required CredentialsBachelor's in Data Science, Statistics, or related fieldBachelor's in Statistics, Mathematics, or related field
Work EnvironmentTech companies, research labs, data-driven departmentsBusiness, finance, marketing, healthcare sectors
Employer & Industry UsageUsed in data science teams for supporting models and analysisUsed across industries for interpreting data and generating reports

While both roles involve working with data, a Data Science Assistant typically supports data science projects, focusing on data preparation and model testing. A Data Analyst primarily interprets data to generate insights and reports. The roles overlap in skills and work environments but differ in their core responsibilities and focus areas.

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 Data Science Assistant jobs in Georgia? For Data Science Assistant jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Data Science Assistant jobs in Georgia look for? The top searched job categories for Data Science Assistant jobs in Georgia are:
What cities in Georgia are hiring for Data Science Assistant jobs? Cities in Georgia with the most Data Science Assistant job openings:
Data Science Assistant jobs near you
Infographic showing various Data Science Assistant job openings in Georgia as of June 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, 1% Temporary, and 2% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution.

Senior Data Scientist II

LexisNexis

Alpharetta, GA • On-site

Full-time

Medical, Life

Posted 8 days ago

LexisNexis rating

7.6

Company rating: 7.6 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

150th of 426 rated business services

Job description

Do you thrive in senior, hands-on data science roles where you apply deep healthcare domain expertise, influence technical decisions, and translate advanced models into real-world impact?
About the Business
LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Insurance vertical, we provide customers with solutions and decision tools that combine public and industry specific content with advanced technology and analytics to assist them in evaluating and predicting risk and enhancing operational efficiency. Our insurance risk solutions help drive better data-driven decisions across the insurance policy lifecycle all while reducing risk. You can learn more about LexisNexis Risk at the link below.
https://risk.lexisnexis.com/insurance
About the Team:
You'll join a collaborative, high-impact analytics team that partners closely with product, engineering, and business leaders to turn complex data into trusted, production-ready insights that drive smarter decisions across the insurance lifecycle.
About the Role:
The Senior Data Scientist II develops and implements analytics and AI solutions that support business and product objectives across LexisNexis Risk Solutions. This role independently executes complex analytical work, translating well defined problem statements into scalable machine learning solutions across the full modeling lifecycle.
This position is intentionally AI forward, suited for a practitioner with hands on experience building, operationalizing, and integrating models into production systems. The Senior Data Scientist II collaborates closely with engineering, product, and platform teams and communicates analytical insights to both technical and non technical stakeholders.
Key Responsibilities:
  • Design, build, and implement machine learning and statistical models to support analytics and AI use cases.
  • Independently execute complex analytical projects within defined scope, including data exploration, feature engineering, modeling, and evaluation.
  • Contribute to end-to-end AI solutions, supporting data pipelines, model training, inference, and integration with downstream systems.
  • Support the development and integration of model inference services and APIs that enable real-time or near-real-time AI workflows.
  • Operationalize models in production or near-production environments, following established engineering and analytics best practices.
  • Collaborate with engineering and platform teams on APIs, services, and analytics infrastructure.
  • Develop reusable analytical components that support scalability and maintainability.
  • Participate in technical design discussions and code reviews, reinforcing team standards and best practices.
  • Communicate analytical results, model performance, and limitations to internal stakeholders.
  • Support model monitoring, documentation, validation, and ongoing improvement activities.

Requirements:
  • Proven Data Science experience, Advanced academic experience-such as a Master's degree or Doctoral degree in a related discipline-may substitute for part of the required experience
  • Solid experience in applying machine learning and statistical techniques to real-world problems.
  • Hands-on experience developing, evaluating, and iterating on predictive and machine learning models.
  • Experience evaluating model performance using appropriate statistical and machine learning metrics and validation techniques.
  • Experience working with structured and unstructured data at scale.
  • Proficiency in Python and/or R using common data science and machine learning libraries (e.g., pandas, NumPy, scikit-learn, XGBoost, PyTorch).
  • Experience working with SQL and relational or cloud-based data platforms.
  • Hands-on experience developing and running data science and AI workloads in cloud environments such as AWS and Azure, including compute, storage, monitoring, and cost-aware execution.
  • Exposure to modern AI frameworks and tools, including large language model (LLM)-based solutions and retrieval-augmented workflows.
  • Experience training, fine-tuning, or evaluating neural network-based models as part of applied machine learning solutions.
  • Experience in applying software engineering best practices to data science codebases, including testing, code quality checks, and version control workflows.
  • Ability to independently execute complex analytical work within defined scope.
  • Clear and effective communicator, able to explain technical ideas in a way that's easy for non-technical audiences to understand.

Working for You:
We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
- Medical Inpatient and Outpatient Insurance: Coverage for your healthcare needs.
- Life Assurance Policies: Providing financial security for your loved ones.
- Modern Family Benefits: Support for maternity, paternity, and adoption needs.
- Long Service Award: Recognition for your dedication and loyalty.
- Celebratory Allowance/Gifts: Marking special occasions to celebrate with you.
- Flexible Benefits Plan : Offering you wider choice of services and products
- Employee Assistance Program : Access support for personal and work-related challenges.
- Flexible Working Arrangements: Balance work and personal life effectively.
- Access to Learning and Development Resources: Empowering your professional growth.
U.S. National Base Pay Range: $104,900 - $174,700. Geographic differentials may apply in some locations to better reflect local market rates.This job is eligible for an annual incentive bonus.
We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.
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We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
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