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Data Science Assistant Jobs in Georgia (NOW HIRING)

Further

Data Science Analyst

Atlanta, GA · On-site

They are seeking a Data Science Analyst who can interpret data to drive decision-making and ensure ... Assist in designing and executing reporting, analytics, and optimization briefs. • Partner ...

Further

Data Science Analyst

Atlanta, GA · On-site

We are looking for a Data Science Analyst who can not just report on performance, but also ... * Assist in designing and executing reporting, analytics, and optimization briefs. * Partner ...

Elevance Health

Data Science Director

Atlanta, GA · Hybrid

Data Science Director Data Science Director Location: Ideal candidates will be able to report to ... Perform unit testing. * Assist with code migrations from development environment to test to ...

Elevance Health

Data Science Director

Atlanta, GA · On-site

Data Science Director Data Science Director Location: Ideal candidates will be able to report to ... Perform unit testing. * Assist with code migrations from development environment to test to ...

Elevance Health

Data Science Director

Atlanta, GA · Hybrid

Data Science Director Location: Ideal candidates will be able to report to our Pulse Point location ... Perform unit testing. * Assist with code migrations from development environment to test to ...

Deloitte

AI and Data Science Engineer III

Atlanta, GA · On-site +1

$110K - $132K/yr

AI and Data Science Engineer III Position Summary Our Deloitte Human Capital team transforms ... knowledge assistants, summarization, and policy question-and-answer solutions using secure ...

Deloitte

AI and Data Science Engineer III

Atlanta, GA · On-site

$110K - $132K/yr

AI and Data Science Engineer III Position Summary Our Deloitte Human Capital team transforms ... knowledge assistants, summarization, and policy question-and-answer solutions using secure ...

RELX

Senior Data Scientist II

Alpharetta, GA

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

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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.

Is 40 too late for data science?

Data science assistants can enter the field at any age, as success depends on skills, experience, and continuous learning. Many professionals transition into data science later in their careers by acquiring relevant knowledge in programming, statistics, and tools like Python or R. Age is not a barrier if you develop the necessary competencies and stay current with industry trends.

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 is a data scientist assistant?

A data scientist assistant supports data scientists by collecting, cleaning, and analyzing data, often using tools like Python or R. They help prepare reports, build models, and may need knowledge of statistics and data visualization to contribute effectively to data projects.

Is AI replacing data scientists?

AI is transforming the role of data scientists by automating routine tasks such as data cleaning and basic analysis, but it does not replace the need for skilled professionals to interpret results, develop models, and make strategic decisions. Data scientists are increasingly required to work alongside AI tools, focusing on complex problem-solving, model development, and domain expertise. Continuous learning and proficiency in programming languages like Python and tools such as machine learning frameworks remain essential for the role.

Which is better, DS or CS?

For a Data Science Assistant role, both Data Science (DS) and Computer Science (CS) provide valuable skills; DS focuses on data analysis, modeling, and visualization, while CS emphasizes algorithms, programming, and software development. The choice depends on the specific job requirements and your career goals, but familiarity with programming languages like Python or R and understanding of data tools are essential in both fields.
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.
Data Science Analyst

Data Science Analyst

Further

Atlanta, GA • On-site

Full-time

Posted 9 days ago

Job description

Job Summary:
Further is a data, cloud, and AI company focused on helping businesses turn raw data into meaningful decisions. They are seeking a Data Science Analyst who can interpret data to drive decision-making and ensure clients derive measurable business value from their data.
Responsibilities:
• Support discovery work to understand client challenges and develop a structured backlog of evidence-based hypotheses for testing and analysis.
• Assist in designing and executing reporting, analytics, and optimization briefs.
• Partner closely with engineers to ensure data accuracy and data pipelines are quality-checked before being leveraged for reporting, analysis or modeling.
• Perform analysis to uncover actionable insights and develop data-driven recommendations
• Present findings to internal and client stakeholders in a clear, business-focused way.
Qualifications:
Required:
• 2–5 years of professional experience in data science or advanced marketing analytics.
• Strong command of R and/or Python for data manipulation and statistical analysis.
• Deep understanding of statistical theory, including hypothesis testing, regression analysis, and experimental design.
• Ability to manage client expectations, present to non-technical audiences, and pivot quickly based on evolving business needs.
Preferred:
• Proficiency in SQL for querying data across various cloud warehouses (BigQuery, Snowflake, etc.).
• Exceptional 'data-to-story' skills—the ability to explain the 'so what' behind a coefficient or a p-value.
• Adobe Analytics
Company:
Further is a data, cloud, and AI company whose sole focus is helping you turn raw data into the right decisions. Founded in 2004, the company is headquartered in Atlanta, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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