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Data Science Major Jobs in Georgia (NOW HIRING)

We are passionate about making science easy and accessible to retailers, helping them get more ... Work-Life Balance: 21 paid days off, major national holidays in the US * Unlimited days of Work ...

Meteorologist

Peachtree City, GA ยท On-site

$40K/yr

Degree in Meteorology, Atmospheric Science, or another natural science major that includes: * At ... Using current hydro-meteorological data to monitor conditions and assist with forecast preparation ...

Other duties may be performed, both major and minor, which are not mentioned below. Specific ... Data Science, Analytics, Computer Science, Applied Mathematics or Engineering 3. 2+ years of ...

Senior Data Scientist

Atlanta, GA ยท On-site

$120 - $170/hr

Excellent academics in computer science, math, statistics or the physical sciences. * Deep ... Workโ€‘Life Balance: 21 paid days off, major national holidays in the US * Unlimited days of Work ...

Artivion's four major groups of products include: aortic stent grafts, surgical sealants, On-X ... Bachelor's or Master's degree in Life Sciences, Data Science, Computer Science, or a related field ...

Artivion's four major groups of products include: aortic stent grafts, surgical sealants, On-X ... Bachelor's or Master's degree in Life Sciences, Data Science, Computer Science, or a related field ...

Other duties may be performed, both major and minor, which are not mentioned below. Specific ... data-driven insights powered by analytics in support of enhanced decision-making. Focus on ...

Marketing Science * Digital Analytics * Data Products * Decision Science * Executive Storytelling ... Major Tasks, Responsibilities, and Key Accountabilities * Tests, analyzes, and solves data issues ...

Marketing Science * Digital Analytics * Data Products * Decision Science * Executive Storytelling ... Major Tasks, Responsibilities, and Key Accountabilities * Tests, analyzes, and solves data issues ...

Data Platform Engineer

Atlanta, GA ยท On-site +1

$110K - $132K/yr

Work closely with data scientists, analysts, and application engineers to understand their needs ... Hands-on experience building data pipelines and ETL/ELT workflows on a major cloud provider (AWS ...

... major transformational projects or transactions. SFL Scientific, a Deloitte Business, is a U ... S. based, data science consulting firm specializing in building mission-specific, artificial ...

Showing results 21-40

Data Science Major information

What is a data science major?

A Data Science major is an academic program that focuses on teaching students how to collect, analyze, and interpret large sets of data to solve real-world problems. It combines coursework in statistics, computer science, mathematics, and domain-specific knowledge to prepare graduates for roles in various industries such as technology, healthcare, finance, and more. Students learn programming languages like Python or R, machine learning techniques, and data visualization skills. The major often includes hands-on projects and internships to provide practical experience in analyzing and extracting insights from data.

What types of projects or problems do data science majors typically work on during internships or entry-level roles?

Data Science majors in internships or entry-level positions often collaborate on projects involving data cleaning, exploratory data analysis, and building predictive models. They might work with real-world datasets to identify trends, automate reporting, or support business decision-making with data-driven insights. These roles typically require teamwork with software engineers, business analysts, and domain experts, offering valuable opportunities to apply classroom knowledge to practical challenges and to develop skills in popular tools like Python, R, and SQL.

What are the key skills and qualifications needed to thrive as a data science major, and why are they important?

To thrive as a Data Science Major, you need a solid understanding of mathematics, statistics, and programming languages such as Python or R, typically backed by coursework or a related degree. Familiarity with data analysis tools, machine learning libraries, and platforms like SQL, TensorFlow, or Jupyter Notebook is also important. Critical thinking, effective communication, and problem-solving skills help you interpret data insights and collaborate on projects. These competencies enable you to extract meaningful information from data, drive decision-making, and succeed in a data-driven environment.

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

AspectData Science MajorData Analyst
Required CredentialsDegree in Data Science, Computer Science, or related fieldsDegree in Statistics, Mathematics, or related fields
Work EnvironmentResearch, development, and complex data modelingData interpretation, reporting, and visualization
Industry UsageTech companies, finance, healthcare, academiaBusiness, marketing, finance, healthcare
Common Search/ComparisonData Science Major vs Data Analyst

While both roles involve working with data, a Data Science Major typically prepares individuals for complex data modeling, machine learning, and research tasks. In contrast, a Data Analyst focuses on interpreting data, creating reports, and visualizations to support business decisions. The roles often overlap, but the Data Science Major emphasizes advanced analytics and programming skills, whereas Data Analysts concentrate on data interpretation and communication.

What jobs can I do with a data science major?

A data science major can pursue roles such as data analyst, data scientist, machine learning engineer, business intelligence analyst, or data engineer. These positions typically require skills in programming, statistical analysis, and data visualization tools like Python, R, SQL, and Tableau, often with a focus on interpreting large datasets to support decision-making.

What kind of jobs can I get with a data science major?

A data science major can lead to roles such as data analyst, data scientist, machine learning engineer, business intelligence analyst, and data engineer. These positions typically require skills in programming, statistical analysis, and data visualization tools like Python, R, SQL, and Tableau.

What are popular job titles related to Data Science Major jobs in Georgia?

For Data Science Major jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Data Science Major jobs in Georgia look for?

The top searched job categories for Data Science Major jobs in Georgia are:

Infographic showing various Data Science Major 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.

Senior Data Scientist

Cognira

Atlanta, GA โ€ข On-site

Full-time

Medical, Retirement, PTO

Re-posted 13 days ago


Job description

About us:

At Cognira, we strongly believe that people are the biggest asset of our company. Our hand-picked team consists of passionate, collaborative, and forward-thinking individuals from all over the globe. We are passionate about making science easy and accessible to retailers, helping them get more value from people, data, and systems. We bring together expertise in retail, science, and scalable technologies to automate and enhance the quality of decision-making through software and consulting services.

We are proud to have a growing team of domain experts and data scientists, as well as a culture that fosters strong and long-lasting relationships with our clients. 


Our Locations: 

  • Atlanta, GA, US 
  • Tunis, Tunisia
  • Istanbul, Turkey
  • Paris, France
  • Porto, Portugal

Our values:

  • Be nice and trustworthy
  • Put our customers first
  • Succeed together
  • Never stop improving

Are you ready to grow with us? To find out more about Cognira, please visit our website at www.cognira.com



About this role:

The Data Scientist serves as a trusted professional that is experienced in problem-solving with real-world customer data and working with clients. At Cognira this role is expected to participate in design and implementation of client projects, as well as drive the development of general models used in forecasting. You will play an important role in shaping our forecasting processes, from architecting innovative feature sets and training cutting-edge models to refining their predictive power. You'll also partner with cross-functional teams to translate complex data into high-impact business solutions, directly influencing real-world retail strategies.  


What will you do: 

  • You will develop new models and algorithms that allow our clients to make strategic decisions for promotion and pricing.
  • You will implement new features in Cognira’s forecasting platform.
  • You will be responsible for implementing forecast and strategy solutions using Cognira’s forecasting platform.
  • You will apply a wide range of statistical and quantitative analysis in practical and valuable ways to real-world business problems.
  • You will be processing, cleansing, and verifying the integrity of data used for analysis.
  • You will help create and maintain rich visualizations through data interpretation and analysis.
  • You will write maintainable and well-documented code.
  • You will learn and work with subject matter experts from other teams and business representatives from our clients.


What you bring to the table:


  • Excellent academics in computer science, math, statistics or the physical sciences.
  • Deep understanding of machine learning and artificial intelligence.
  • Ability to innovate new solutions or design algorithms that address real-world client needs.
  • Extensive Python expertise with a minimum of 5 years in the field, including mastery of essential frameworks like Pandas, PySpark, or NumPy.
  • Ability to work on multiple projects.
  • Ability to maintain a high level of code quality and work within a shared repository.
  • Excellent written and verbal communication skills including reports and presentations.
  • A drive to learn and master new technologies and techniques.
  • You have a collaborative attitude, willingness to share and use best ideas.
  • You are persistent, focused, self-sufficient and optimistic.


 Even better if : 


  • You have past retail experience.
  • You have experience working in a distributed development environment leveraging git and Jira.
  • You have experience working in a scaled data environment leveraging Spark and Kubernetes.
  • You have experience working in a Linux environment.
  • You have a Ph.D. degree.


What we offer: 

  • In addition to joining us on our journey to build state-of-the-art, AI-enabled software, you’ll also get a ton of perks!
  • Competitive salary, benefits, and equity stock plans for all employees
  • The week between Christmas and New Year's Day as holidays
  • Great medical insurance & 401K with matching
  • On Wednesdays, we have free lunches, and our office building has a complimentary gym with free classes from yoga to kickboxing. We also have a game room so we have the occasional table tennis competition or a game of shuffleboard.
  • Work-Life Balance: 21 paid days off, major national holidays in the US
  • Unlimited days of Work From Anywhere every year. We’d like to ensure you have the time and flexibility to recharge and spend time with your loved ones. 
  • Casual dress code, free snacks, drinks, and social events!
  • Mentorship Program, where you can be a mentor or a mentee. 
  • Referral Program Bonus
  • A cool welcome pack with laptop & all necessary IT kit for work


Our Recruitment Process:

Our interview process includes an initial conversation with our Recruiting team, two technical interviews with our Data Science team, and final conversations with our COO and CEO.