1

Data Statistician Jobs in Georgia (NOW HIRING)

Required Qualifications: · Bachelor's degree in Data Analytics, Computer Science, Statistics, Mathematics, Business Analytics, or a related field. · 2-5+ years of experience as a Data Analyst or in ...

Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products. * Selecting features, building ...

Utilize statistical and machine learning techniques to predict trends and future outcomes. * Statistical Analysis : Apply statistical methods to test hypotheses and analyze data. * A/B Testing

Proficiency in statistical programming languages such as R, Python, SAS, or similar, alongside ... Skilled in data wrangling, quality evaluation, transformation, and cleaning for analysis.

Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products. * Selecting features, building ...

The Data Scientist performs analysis of multiple data sources using statistical analysis and computer science to solve business problems. Able to communicate analytical results generate improved ...

The Data Scientist performs analysis of multiple data sources using statistical analysis and computer science to solve business problems. Able to communicate analytical results generate improved ...

Apply statistical techniques to support data-driven decisions Predictive Modeling & Machine Learning * Develop and deploy machine learning models to predict future trends and outcomes * Apply ...

Masters in mathematics, statistics or computer science or related field - Ph D. degree preferred 5 ... data frameworks, Java), statistical modeling (like SAS or R) Experience using machine learning ...

Data Scientist

Atlanta, GA · On-site

$85K - $90K/yr

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 ...

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 ...

Use statistical techniques to uncover meaningful information from data. Predictive Modeling: Develop and deploy machine learning models to predict future trends, behaviors, and outcomes. Apply ...

This role requires strong technical expertise in data analysis, visualization, and statistical modeling, along with the ability to translate data into clear, impactful insights for stakeholders. Key ...

Data Scientist Location: Atlanta, GA / Dallas, TX Duration: 12+ Months • Oversees and performs ... statistics or computer science or related field - Ph D. degree preferred • 5 or more years of ...

Complete familiarity with various statistical and machine learning techniquesincluding ... Data exploration, hypothesis creation (from business and product goals), testing algorithms ...

Complete familiarity with various statistical and machine learning techniquesincluding ... Data exploration, hypothesis creation (from business and product goals), testing algorithms ...

Data Science is a driver of significant competitive advantage for Kemper and is critical to the ... PhD inMathematics,Statistics,Engineering, or other STEMfieldwith related ...

Data Scientist

Alpharetta, GA · On-site

$95.30 - $158.80/hr

We are looking for a Sr. Data Scientist I with strong expertise in statistics/modeling and machine learning to join our diverse team of data scientists on the Auto Insurance Rating Analytics team.

Showing results 21-40

Data Statistician information

See Georgia salary details

$42.6K

$73.4K

$98.4K

How much do data statistician jobs pay per year?

As of Aug 12, 2026, the average yearly pay for data statistician in Georgia is $73,395.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,600.00 and $83,200.00 per year, depending on experience, location, and employer.

What is the difference between Data Statistician vs Data Analyst?

AspectData StatisticianData Analyst
Required CredentialsBachelor's or Master's in Statistics, Mathematics, or related fieldBachelor's in Statistics, Mathematics, Economics, or related field
Work EnvironmentResearch institutions, government agencies, large corporationsBusiness, marketing, finance, healthcare sectors
Employer & Industry UsageUsed for designing experiments, advanced modeling, and statistical analysisFocuses on interpreting data, creating reports, and supporting decision-making

While both roles involve analyzing data, Data Statisticians typically focus on designing experiments and developing complex statistical models, often requiring advanced degrees. Data Analysts tend to interpret data sets, generate reports, and support business decisions. The roles overlap in skills and tools but differ in scope and depth of statistical expertise.

What are the key skills and qualifications needed to thrive as a data statistician?

To thrive as a Data Statistician, you need a strong background in mathematics, statistical analysis, and data modeling, typically supported by a degree in statistics, mathematics, or a related field. Proficiency with statistical software such as R, SAS, or Python, and familiarity with data visualization tools, are commonly required. Attention to detail, problem-solving ability, and effective communication skills help distinguish top performers in this role. These skills ensure accurate data interpretation, actionable insights, and clear presentation of findings to stakeholders.

What are some common challenges faced by data statisticians when working with large, complex datasets?

Data Statisticians often encounter challenges such as data quality issues, missing or inconsistent values, and integrating data from multiple sources. Ensuring the accuracy and reliability of data before analysis can be time-consuming but is crucial for meaningful results. Additionally, statisticians must be adept at using statistical software and programming languages to efficiently process and visualize large datasets, often collaborating with data engineers and analysts to address these challenges. Staying up-to-date with the latest analytical techniques and tools is also essential in this rapidly evolving field.
Infographic showing various Data Statistician job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 1% Temporary, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $73,395 per year, or $35.3 per hour.

Other

Posted 6 days ago


Job description

Job Title: Data Analyst Location: Alpharetta, GA Job Type: Only W2 Job Description: · Collect, clean, and validate data from multiple sources. · Analyze large datasets to identify trends, patterns, and business insights. · Develop and maintain dashboards, reports, and visualizations using tools such as Power BI, Tableau, or Excel. · Write and optimize SQL queries to extract and manipulate data. · Collaborate with business stakeholders to understand reporting requirements. · Monitor key performance indicators (KPIs) and provide actionable recommendations. · Perform ad hoc analysis to support strategic initiatives. · Ensure data accuracy, consistency, and integrity. · Document data definitions, processes, and reporting standards. Required Qualifications: · Bachelor's degree in Data Analytics, Computer Science, Statistics, Mathematics, Business Analytics, or a related field. · 2–5+ years of experience as a Data Analyst or in a similar analytical role. · Strong proficiency in SQL. · Experience with Microsoft Excel, Power BI, Tableau, or similar BI tools. · Knowledge of data modeling and data visualization best practices. · Strong analytical, problem-solving, and communication skills. · Ability to work independently and manage multiple priorities. · Preferred Qualifications · Experience with Python or R for data analysis. · Familiarity with cloud platforms such as AWS, Azure, or Google Cloud. · Experience working with ETL processes and data warehouses. · Knowledge of statistical analysis and predictive modeling. Technical Skills: · SQL · Microsoft Excel (Advanced) · Power BI or Tableau · Python or R (Preferred) · Data Visualization · Data Cleaning & Validation · Statistical Analysis · ETL Concepts · Data Warehousing