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Data Science Assistant Jobs in Georgia (NOW HIRING)

As a Data Scientist, you will support analytics projects that help clients make datadriven ... As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with ...

... assist with dashboarding, tracking key metrics, and ad hoc analytical projects. This role will report to the Energy Analytics Data Scientist. The ideal candidate will be very comfortable in SQL with ...

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

... scientists and other stakeholders. In addition, he/she will also assist in developing the data pipeline to ensure ongoing data collection, consolidation, and management • Create data ingestion ...

... data pipelines, and integration workflows. * Assist in creating dashboards, alerts, and ... Qualifications Bachelors - Business Analytics, Bachelors - Computer Science, Bachelors - Statistics ...

As a technical leader, the person will assist with setting the technical direction of the practice ... Bachelor's degree in computer science or related field * 12 years of industry experience, with 4 ...

As a technical leader, the person will assist with setting the technical direction of the practice ... Bachelor's degree in computer science or related field * 12 years of industry experience, with 4 ...

As a technical leader, the person will assist with setting the technical direction of the practice ... Bachelor's degree in computer science or related field * 12 years of industry experience, with 4 ...

Showing results 41-60

Data Science Assistant information

What is a data science assistant?

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?

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:

Infographic showing various Data Science Assistant job openings in Georgia as of August 2026, with employment types broken down into 5% Internship, 82% Full Time, 9% Part Time, 2% Temporary, and 2% Contract. Highlights an 95% In-person, and 5% Remote job distribution.

University - Data Scientist

Atlanta, GA

$62K - $141K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 17 days ago


Job description

University - Data Scientist

The Opportunity:

As a Data Scientist, you will support analytics projects that help clients make datadriven decisions. You'll apply foundational skills in data exploration, analysis, and visualization while learning industryleading methods in AI, machine learning, and cloudbased analytics. Your work will help transform structured and unstructured data into actionable insights that advance missionfocused outcomes.

Join us. The world can't wait.

You Have:

  • Experience with data exploration, data cleaning, data analysis, data visualization, or data mining
  • Experience with statistical and general-purpose programming languages for data analysis
  • Knowledge of structured and unstructured data sources
  • Ability to obtain a Secret clearance
  • Scheduled to obtain a Bachelor's degree in a Technology, Engineering, Mathematics or related field by Winter or Summer 2027

Nice If You Have:

  • Ability to produce technical documentation and create design artifacts
  • Possession of excellent critical thinking and analytical skills
  • Possession of excellent verbal and written communication skills

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $62,000.00 to $141,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.

  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.

  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.