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Masters Statistics Jobs in Georgia (NOW HIRING)

Data Scientist

Atlanta, GA · On-site

$85K - $90K/yr

Masters Degree in Computer Science or Statistics Experience : 1 year in Data Science Compensation The compensation range for this position is $85,000.00 - $90,000.00 annually. This position will be ...

Masters in mathematics, statistics or computer science or related field - Ph D. degree preferred 5 or more years of relevant quantitative and qualitative research and analytics experience Solid ...

Masters Degree in Computer Science or Statistics Experience: 1 year in Data Science Compensation The compensation range for this position is $85,000.00 - $90,000.00 annually. This position will be ...

CI Project Manager

Acworth, GA · On-site

$81K - $109K/yr

Utilize statistical analysis and software tools to evaluate manufacturing * Coordinate and manage ... Masters degree or MBA * Lean Champion Certification and Six Sigma Green/Black Belt Working ...

Masters, MBA, JD, MD) * Extensive experience in the card or financial services industry, with ... Experience with process documentation and statistical analysis to support data driven decision ...

Director, Supply Chain Engineering

Atlanta, GA · On-site

$180K - $204K/yr

Strong analytical skills with proficiency in engineering economics, simulation modeling, business case development, statistical analysis and advanced data & analytic skills Preferred Skills * Masters ...

Strong analytical skills with proficiency in engineering economics, simulation modeling, business case development, statistical analysis and advanced data & analytic skills Preferred Skills * Masters ...

... Masters in mathematics, statistics or computer science or related field - Ph D. degree preferred • 5 or more years of relevant quantitative and qualitative research and analytics experience • ...

Showing results 41-60

Masters Statistics information

See Georgia salary details

$34.2K

$70.6K

$98.8K

How much do masters statistics jobs pay per year?

As of Aug 22, 2026, the average yearly pay for masters statistics in Georgia is $70,638.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,100.00 and $97,900.00 per year, depending on experience, location, and employer.

What is a masters statistics?

A Masters in Statistics is a graduate-level degree focused on the study of statistical theory, methods, and applications. The program typically covers topics such as probability, data analysis, statistical modeling, and computational statistics. Graduates are prepared for careers in fields like data science, research, finance, government, and healthcare, where analyzing and interpreting data is essential. The degree can also serve as a foundation for further academic research or a PhD in statistics or related disciplines.

What skills and qualifications are needed to thrive as a statistician with a master's degree in statistics?

To thrive as a statistician with a master's in statistics, you need a solid background in statistical theory, data analysis, and quantitative research methods, typically supported by an advanced degree in statistics or a related field. Proficiency in statistical software such as R, SAS, SPSS, or Python, along with experience in data management systems, is commonly required. Strong problem-solving, attention to detail, and effective communication skills help convey complex findings to diverse audiences. These competencies ensure rigorous data-driven decision-making and the ability to translate analytical insights into actionable business or research outcomes.

What types of projects or collaborations can I expect to be involved in as a statistician with a master's degree in statistics?

As a statistician with a master's degree, you can expect to work on a variety of data-driven projects, often collaborating with professionals from fields such as healthcare, finance, technology, or government. Your role may involve designing experiments, analyzing large datasets, and interpreting results to support decision-making. Teamwork is common, as you'll often partner with data scientists, subject matter experts, and managers to ensure analyses are relevant and actionable. This collaborative environment fosters both professional growth and the development of specialized expertise in your chosen industry.

What is the difference between Masters in Statistics vs Data Analyst?

CriteriaMasters in StatisticsData Analyst
Required CredentialsMaster's degree in Statistics or related fieldBachelor's degree often sufficient; some roles prefer a master's
Work EnvironmentResearch, academia, data science teamsBusiness, finance, healthcare, and tech companies
Industry UsageAcademic, research institutions, specialized analytics rolesCorporate settings, data-driven decision making

Masters in Statistics typically involves advanced statistical theory and research, preparing individuals for specialized or academic roles. Data Analysts focus on interpreting data to inform business decisions, often requiring less advanced statistical training. Both roles overlap in data handling but differ in depth of statistical expertise and work context.

Is a master's in statistics a good idea?

A master's in statistics prepares individuals for roles such as data analyst, statistician, or data scientist, often requiring proficiency in programming languages like R or Python and knowledge of statistical methods. It can enhance job prospects and earning potential in data-driven industries, but the value depends on career goals and industry demand.

What can I do with a master's in statistics?

A master's in statistics prepares individuals for roles such as data analyst, statistician, data scientist, or quantitative analyst. These positions involve analyzing data, building models, and interpreting results using tools like R, Python, or SAS, often requiring strong analytical and programming skills.
Infographic showing various Masters Statistics job openings in Georgia as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $70,638 per year, or $34 per hour.

$85K - $90K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 15 days ago


Deluxe rating

7.9

Company rating: 7.9 out of 10

Based on 32 frontline employees who took The Breakroom Quiz

9th of 21 rated payment service providers


Job description

Why Join Us
Be part of an organization that's driving change and consistently recognized as a top employer. At Deluxe, we know that great people build great companies-and we invest in you accordingly.
  • We're proud to be recognized as a Great Place to Work and a top workplace for Moms, Dads, LGBTQ+ employees, and Veterans.
  • We offer competitive benefits starting on day one, designed to support your life both in and out of work.
  • 42% of our employees have stayed for 10+ years, citing our people, benefits, work-life balance, inclusive culture, and team support as key reasons why.

Are you a data scientist who enjoys working directly with clients and making a direct and verifiable impact to their business and the success of your team? Come fill that role on a growing team of data professionals serving large clients across the U.S.
The Data Scientist is responsible for leading the development of data-driven solutions for our clients. The role utilizes analytical, statistical, and programming skills to clean, aggregate, and analyze large data sets and interpret results. This position requires a strong command of statistical techniques and machine learning algorithms, as well as a demonstrated practical ability to determine where to invest time, synthesize actionable findings across diverse assignments, and present findings to audiences with diverse agendas and varying levels of technical expertise
Responsibilities Include:
  • Querying, pre-processing, data cleaning, feature engineering and analyzing large amounts of structured and Unstructured data(terabytes/petabytes) across multiple data sources using structured query language(SQL), Python, Pytorch, Pyspark, R, Spark and Scala. In a Cloud Native AWS environment.
  • Deliver custom and commercial scalable solutions for internal and external customers. Combine business requirements and existing processes and data knowledge to create analytical solutions by building and deploying unsupervised and supervised machine learning and deep learning models. Including combining models using ensemble modeling techniques. Required to have knowledge and experience in unsupervised learning, principle component analysis(PCA), GLM, lasso/ridge regression, random forest, gradient boosted machines(GBM's), XGBoost, Baysian optimization, natural language processing(NLP) and deep neural networks/ back propagation.
  • Use advance statistical concepts for sampling, descriptive statistics, hypothesis testing, data quality, performance testing, attribution analysis, multi variate segmentation and recommender systems.
  • Collaborate with other data scientists to solve demanding and complicated business problems by applying machine learning, deep learning to large data sets. Partner with Data Engineering on product development(proof of concept to commercial product), SDLC and CI/CD pipelines to process data, train models, test predictions within a MLOPS framework all at scale and be able to provide requirements for deployment. Must be able to work within an agile framework.

Basic Qualifications:
Education and Experience : Bachelor's degree in C omputer Science, Math, Statistics, Machine Learning, Analytic, Data Science and 0 to 2 years experience.
Must be 18 years of age or older
Preferred Qualifications:
Education : Masters Degree in Computer Science or Statistics
Experience : 1 year in Data Science
Compensation
The compensation range for this position is $85,000.00 - $90,000.00 annually. This position will be eligible for commission or an annual performance incentive plan. The base pay actually offered will vary depending on job-related knowledge, skills, location, experience and take into account internal equity.
Benefits
In line with our commitment to employee wellbeing, our total rewards benefits package is designed to support the physical, financial, and emotional health of our employees, tailored to meet their unique and evolving needs. Our approach considers our employees' whole selves, ensuring they can thrive both in and outside of work. Here are some of the benefits we offer, which may vary based on role, location, or hours worked:
  • Healthcare (Medical, Dental, Vision)
  • Paid Time Off, Volunteer Time Off, and Holidays
  • Employer-Matched Retirement Plan
  • Employee Stock Purchase Plan
  • Short-Term and Long-Term Disability
  • Infertility Treatment, Adoption and Surrogacy Assistance
  • Tuition Reimbursement

These benefits are designed to enhance the health, protect the financial security, and provide peace of mind to our employees and their families.
Deluxe Corporation is an Equal Employment Opportunity employer:
All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, disability, sex, age, ethnic or national origin, marital status, sexual orientation, gender identity or presentation, pregnancy, genetics, veteran status or any other status protected by state or federal law.
Please view the electronic EEO is the Law Poster which serves to inform you of your equal employment opportunity protections as part of the application process.
Reasonable Accommodation for Job Seekers with a Disability: If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to deluxecareers@deluxe.com .

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