Job description

About the Role

As a Statistician, you will specialize in developing and applying statistical theories and methods to gather, assess, and interpret quantitative data. This role supports organizations in making decisions grounded in evidence across a variety of domains.

Daily Activities

Prepare and clean datasets by eliminating incomplete records and errors, confirming data formats before analysis.
Collaborate with product teams to design experiments, establish participant numbers, and define success criteria.
Evaluate experiment outcomes to check for statistical significance versus random variation and summarize findings.
Participate in team meetings to review preliminary results and decide on further analytical inquiries.
Create visual presentations like charts and dashboards that simplify complex model outputs for stakeholders.
Assess predictive models for issues such as overfitting or redundant variables and suggest improvements.
Compose forecast reports projecting future trends, including assumptions and insights for engineering teams.

Technologies and Tools

Data Management Tools: SQL, Microsoft Access, Amazon Redshift, IBM DB2, Apache Hadoop, Teradata, Apache Pig
Cloud Platforms: AWS
Statistical Software: IBM SPSS, SAS, MATLAB, Stata, Aptech GAUSS
Programming Languages: Python, R, C++, Java, VBA, FORTRAN, COBOL
Business Intelligence: Tableau, Apache Spark, QlikView
Development Environments: Microsoft Visual Basic, SAP PowerBuilder

Salary Insights

Median annual compensation is approximately $103,000, with typical earnings ranging broadly from $60,000 to $171,000 depending on experience and location. Highest salaries are observed in states like New York, Washington D.C., and Maryland, while lower ranges are seen in Mississippi, Missouri, and South Carolina.

Educational and Certification Requirements

A Master's degree is generally required for this role, though requirements vary by employer.
Recommended certifications include SAS Certified Statistical Business Analyst, Certified Analytics Professional, Microsoft Azure Data Scientist Associate, and Google Data Analytics Professional Certificate.
Membership in professional organizations like the American Statistical Association can provide networking and development benefits.

Work Environment and Schedule

This role supports fully remote work with standard office hours.
The work is predominantly sedentary but involves frequent collaboration and communication within teams.

Skills and Attributes

Strong abilities in mathematics, critical thinking, and reading comprehension are essential.
Good communication skills including active listening and clear speaking are valued for teamwork and reporting.

Statistician