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Data Statistician Jobs in Georgia (NOW HIRING)

Prepare sample designs, conduct data analysis and interpretation, and power analyses of environmental data for multi-disciplined project teams * Communicate statistical evaluations and results with ...

MMS is a award-winning, data-focused clinical research organization (CRO). We pride ourselves on ... Our experienced statisticians and programmers develop intellectual property and assets to support ...

Senior Data Analyst

Atlanta, GA · On-site

$82K - $104K/yr

Ability to use additional data/statistical tools: Python, R, etc. * Support implementation of business intelligence and marketing automation solutions * Strong understanding of data hygiene, merge ...

Independently produce basic data statistics, coverage metrics, and field population analysis * Run data profiles and perform routine data review and verification * Investigate, track, and report data ...

Data Analyst II

Alpharetta, GA · On-site

$59K - $98K/yr

Independently produce basic data statistics, coverage metrics, and field population analysis * Run data profiles and perform routine data review and verification * Investigate, track, and report data ...

Responsibilities • Interpret data, analyze results using statistical techniques and provide ongoing reports • Develop and implement databases, data collection systems, data analytics and other ...

Responsibilities Interpret data, analyze results using statistical techniques and provide ongoing reports Develop and implement databases, data collection systems, data analytics and other strategies ...

Must be proficient in statistics and at least one programming language (typically R or Python). Responsibilities include data wrangling, data analysis, and data exploration. Should be familiar with a ...

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 ...

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

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 ...

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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 1, 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 does a data statistician do?

A data statistician analyzes and interprets complex data sets to help organizations make informed decisions. They use statistical methods, software tools, and data visualization techniques to identify trends, patterns, and insights, often working with large databases and ensuring data accuracy and integrity.

What are the key skills and qualifications needed to thrive as a Data Statistician, and why are they important?

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.

Can I be a data analyst with no experience?

Data analysts typically need some experience with data analysis tools like Excel, SQL, or Python, but entry-level positions may accept candidates with relevant coursework or certifications. Building skills through online courses, internships, or projects can help you qualify for such roles without prior professional experience.

Is 40 too late for data science?

A data statistician or data scientist can start a career at age 40, as many employers value skills, experience, and continuous learning over age. Gaining proficiency in programming languages like Python or R, and understanding statistical tools, can help transition into the field regardless of age.

Is AI replacing statisticians?

AI is transforming the role of data statisticians by automating routine data analysis tasks and enabling more complex modeling. However, statisticians are still essential for designing experiments, interpreting results, and ensuring data quality, as human expertise remains critical in understanding context and making informed decisions. Skills in statistical methods, programming, and data visualization continue to be valuable in this evolving field.
What job categories do people searching Data Statistician jobs in Georgia look for? The top searched job categories for Data Statistician jobs in Georgia are:
Infographic showing various Data Statistician job openings in Georgia as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $73,395 per year, or $35.3 per hour.

Environmental Statistician

Wood Plc

Kennesaw, GA • On-site, Remote

Other

Re-posted yesterday


Job description

Overview / Responsibilities

Wood is seeking a Scientist with a Statistics background to join our growing Environmental team and support environmental investigation, remediation, and restoration projects.  This position provides the opportunity for the qualified candidate to work on high profile projects in office or remotely.

Key responsibilities:

  • Prepare sample designs, conduct data analysis and interpretation, and power analyses of environmental data for multi-disciplined project teams
  • Communicate statistical evaluations and results with the project team, client, and/or regulatory agencies (EPA and state agencies). Typical projects will be performed under CERCLA (Superfund) or RCRA administrative orders and/or guidance
  • Develop sampling designs with input from the project team and communication of the sampling design strategy to our clients and the regulators and other stakeholders
  • Compile, analyze, and summarize environmental data, using modern methods for data management and data analytics. Compilation and preparation of datasets will be in collaboration with database managers using EQuIS or other database software
  • Work and travel safely, follow company and site safety standards, learn and practice company codes for ethics and business conduct
  • Grow as a consultant, demonstrating ability to manage multiple projects at one time while building successful client relationships
Skills / Qualifications
  • Minimum of B.S. in statistics, mathematics, or a science or engineering field
  • Well-versed in R, MATLAB, or other similar statistical software, familiarity with USEPA's ProUCL and/or PNNL's Visual Sample Plan
  • At least 5 years of experience with non-normally distributed data and statistical analyses including regressions, t-tests, nonparametric tests, power analyses, multivariate and/or ordination techniques
  • Experience in investigations and/or remediation of sediment, surface water, biotic tissue, air, groundwater, and/or other related topics
  • Statistical analysis of chemicals/wastes (e.g., mercury, pesticides, PCBs, chlorinated organics, LNAPL/DNAPL organics, coal ash, PFAS) and environmental media (e.g., sediment, fish, groundwater, soil, surface water)
  • Strong skills in technical writing, presentations, and communications
  • Attention to detail, organization abilities and strong time-management capabilities required
  • Geospatial statistical skills (e.g., kriging, interpolations, geostatistical simulation) a plus
  • Experience with Bayesian statistics a plus
  • Experience with censored datasets a plus
  • Master's degree or PhD a plus
  • Must pass drug test, physical, background check, and must have a satisfactory driving record in accordance with the Wood's driving policy

Remote work options available.

Company Overview

Wood is a global leader in engineering and consultancy across energy and the built environment, helping to unlock solutions to some of the world's most critical challenges. We provide consulting, projects and operations solutions in more than 60 countries, employing around 40,000 people. www.woodplc.com

Diversity Statement

We are an equal opportunity employer that recognises the value of a diverse workforce. All suitably qualified applicants will receive consideration for employment on the basis of objective criteria and without regard to the following (which is a non-exhaustive list): race, colour, age, religion, gender, national origin, disability, sexual orientation, gender identity, protected veteran status, or other characteristics in accordance with the relevant governing laws.

Employment Type: OTHER