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Associate Data Scientist Jobs in Georgia (NOW HIRING)

HD Supply

Manager, Data Analytics

Atlanta, GA

Marketing Science * Digital Analytics * Data Products * Decision Science * Executive Storytelling ... associate. We value the diversity of our people. Equal Employment Opportunity HD Supply is an Equal ...

HD Supply

Manager, Data Analytics

Atlanta, GA · On-site

Marketing Science * Digital Analytics * Data Products * Decision Science * Executive Storytelling ... associate. We value the diversity of our people. Equal Employment Opportunity HD Supply is an Equal ...

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All JobsAssociate Data Scientist JobsAssociate Data Scientist Jobs in Georgia

Associate Data Scientist information

See Georgia salary details

$48.6K

$57.5K

$108.9K

How much do associate data scientist jobs pay per year?

As of Aug 18, 2026, the average yearly pay for associate data scientist in Georgia is $57,451.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,800.00 and $50,200.00 per year, depending on experience, location, and employer.

What does an associate data scientist do?

An Associate Data Scientist supports data-driven decision-making by collecting, cleaning, and analyzing large datasets. They use statistical methods and programming languages like Python or R to identify trends, build predictive models, and generate insights for business problems. Working under the guidance of more experienced data scientists, they also help visualize data and communicate findings to technical and non-technical stakeholders. This entry-level role often involves learning new tools and techniques while contributing to real-world projects.

What does an associate data scientist do?

The duties of an associate data scientist are to analyze statistical data analysis on large sets and identify trends by using advanced mathematical and computer science skills. Their responsibilities often include assisting in the production of statistical models, tools, and processes. They typically are in the process of pursuing a master’s degree and report to a senior data scientist. The qualifications you need are a bachelor’s degree in statistics, computer science, or a related field as well as experience working with machine-learning and data mining algorithms.

What are some typical projects an associate data scientist might work on, and how do they collaborate with other team members?

As an Associate Data Scientist, you can expect to contribute to a range of projects such as developing predictive models, analyzing large datasets to uncover business insights, and supporting the deployment of machine learning solutions. Collaboration is key; you'll often work closely with data engineers to prepare and process data, as well as with business analysts and product managers to align your findings with organizational goals. Regular meetings, code reviews, and knowledge-sharing sessions are common, providing opportunities to learn from senior data scientists and broaden your technical skills.

What are the key skills and qualifications needed to thrive as an associate data scientist, and why are they important?

To thrive as an Associate Data Scientist, you need strong analytical skills, a solid foundation in statistics, and proficiency in programming languages like Python or R, typically supported by a degree in a quantitative field. Experience with data visualization tools (e.g., Tableau), machine learning libraries (e.g., scikit-learn), and database systems (e.g., SQL) is often required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating data insights into actionable business solutions. These skills and qualities are essential for extracting valuable insights from complex data and driving data-informed decision-making within organizations.

What is the difference between Associate Data Scientist vs Data Analyst?

AspectAssociate Data ScientistData Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Statistics, Mathematics, or related field; certifications like Microsoft Excel or Tableau are common
Work EnvironmentCollaborates with data science teams, develops models, and analyzes complex datasetsPrepares reports, visualizes data, and provides insights for decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms focusing on predictive modelingCommon across various industries for business reporting and operational analysis

The Associate Data Scientist typically focuses on building models and advanced analytics, requiring programming skills and statistical knowledge. Data Analysts mainly interpret data through reports and visualizations, often with less emphasis on coding. Both roles are essential in data-driven organizations but differ in technical depth and responsibilities.

More about Associate Data Scientist jobs

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Associate Data Scientist jobs near you
Infographic showing various Associate Data Scientist job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 11% Part Time, 7% Contract, and 3% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $57,451 per year, or $27.6 per hour.

Associate Data Engineer, AWS Hybrid (4 days) Atlanta, Dallas, Chicago

Publicis Groupe Holdings B.V

Atlanta, GA • On-site

$91K - $119K/yr

Full-time

Medical, PTO

Re-posted 10 days ago

Job description

Company Description

Publicis Sapient is a digital transformation partner helping established organizations get to their future, digitally enabled state, both in the way they work and the way they serve their customers. We help unlock value through a start-up mindset and modern methods, fusing strategy, consulting, and customer experience with agile engineering and problem-solving creativity. United by our core values and our purpose of helping people thrive in the brave pursuit of next, our 20,000+ people in 53 offices around the world combine experience across technology, data sciences, consulting, and customer obsession to accelerate our clients' businesses through designing the products and services their customers truly value.

OverviewAssociate Data Engineering

As an Associate Data Engineer, you will be responsible for designing, developing, and maintaining scalable Big Data solutions. You will work with large datasets, real-time processing frameworks, and cloud-based data platforms to enable data-driven decision-making for our clients.

Your Impact
  • Design, develop, and maintain Big Data pipelines using technologies such as Hadoop, Spark, Kafka, and Flink.
  • Implement data processing and transformation workflows to support analytics, reporting, and machine learning applications.
  • Optimize data storage, retrieval, and processing for performance and scalability.
  • Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver high-quality solutions.
  • Ensure data quality, security, and compliance with industry standards and best practices.
  • Automate data workflows and monitoring processes to improve efficiency and reliability.
  • Stay updated with emerging Big Data technologies and best practices to drive innovation.
QualificationsSkills & Experience
  • 5+ years of experience in Big Data engineering, data processing, and analytics.
  • Strong proficiency in Big Data technologies such as Hadoop, Spark, Kafka, Flink, and Hive.
  • Experience with cloud-based data platforms such as AWS, GCP, or Azure.
  • Proficiency in programming languages such as Java, Scala, or Python for data processing and analytics.
  • Hands-on experience with data modeling, ETL processes, and data warehousing.
  • Strong understanding of distributed computing, data streaming, and real-time processing.
  • Experience with SQL, NoSQL databases, and data lakes.
  • Knowledge of data governance, security, and compliance best practices.
  • Strong problem-solving and analytical skills with a focus on delivering high-quality data solutions.
Set Yourself Apart With
  • Experience with containerization and orchestration tools such as Docker, Kubernetes.
  • Knowledge of machine learning frameworks and data science workflows.
  • Certifications in Big Data technologies (e.g., AWS Certified Big Data - Specialty, Cloudera Certified Professional).
  • Experience in financial services, e-commerce, or supply chain industries.
Additional Information

Salary Range:  $91,000-119,000.

The range shown represents a grouping of relevant ranges currently in use at Publicis Sapient. Actual range for this position may differ, depending on location and specific skillset required for the work.

Benefits of Working Here: 

An inclusive workplace that promotes diversity and collaboration.

  • Access to ongoing learning and development opportunities.
  • Competitive compensation and benefits package.
  • Flexibility to support work-life balance.
  • Comprehensive health benefits for you and your family.
  • Generous paid leave and holidays.
  • Wellness program and employee assistance.
  • An inclusive workplace that promotes diversity and collaboration.

As part of our dedication to an inclusive and diverse workforce, Publicis Sapient is committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity, or religion. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at hiring@publicis.sapient.com

Employment Type: FULL_TIME

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