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Statistical Data Jobs (NOW HIRING)

Staffingine LLC

Statistical Data Scientist

Edison, NJ · On-site

Statistical Data Scientist Job Location: Edison Job Type: Contract * Design, develop, and implement statistical models and machine learning solutions to solve complex business problems. * Apply deep ...

Washington University of St. Louis

$65K - $112K/yr

Performs data analysis and/or data management using the latest and best methodologies as implemented in statistical packages (SAS) including generation of tables and graphs. * Advises and assists ...

Exponent

Statistical Scientist (Ph.D.)

Bellevue, WA · On-site

The Statistical Scientist will work within the Data Sciences Practice, focusing on data collection, management, visualization, and inferential analysis, while also applying risk analysis ...

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Statistical Data information

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

To thrive as a Statistical Data Analyst, you need strong quantitative skills, expertise in statistics, and a relevant degree such as mathematics, statistics, or data science. Proficiency with tools like R, Python, SQL, and statistical software (e.g., SPSS, SAS) as well as data visualization platforms is typically required. Critical thinking, attention to detail, and effective communication skills help analysts interpret data accurately and share insights with stakeholders. These competencies ensure reliable data analysis, support evidence-based decisions, and drive organizational success.

What are some common challenges faced by professionals working in statistical data roles, and how can they be addressed?

Professionals in statistical data roles often encounter challenges such as managing large, complex datasets, ensuring data quality, and effectively communicating statistical findings to non-technical stakeholders. Dealing with incomplete or inconsistent data is common, and requires strong analytical and problem-solving skills to clean and validate information. Collaborating closely with cross-functional teams, staying updated on the latest statistical software, and developing clear data visualization skills can help address these challenges and enhance the impact of your work.

What is the difference between Statistical Data vs Data Analyst?

AspectStatistical DataData Analyst
Required CredentialsNone specific; often involves understanding data collectionBachelor's degree in statistics, data science, or related field
Work EnvironmentData collection, storage, and management environmentsAnalyzing data, creating reports, and visualizations
Industry UsageUsed across industries for data collection and storageApplied in business, finance, healthcare, and more for insights
Search & Comparison IntentUnderstanding raw data types and sourcesComparing roles focused on data analysis and interpretation

Statistical Data refers to raw or processed data used for analysis, while Data Analyst is a professional role that interprets and visualizes this data to support decision-making. Both are integral to data-driven industries but serve different functions within the data lifecycle.

What is a statistical data analyst?

Statistical data analysts are professionals who collect, process, and interpret quantitative data to help organizations make informed decisions. They use statistical techniques and software tools to analyze datasets, identify trends, and solve problems. Their work is crucial in fields such as business, healthcare, government, and research, where data-driven insights are essential. Statistical data analysts often present their findings in reports or visualizations to guide strategic planning.
More about Statistical Data jobs
What cities are hiring for Statistical Data jobs? Cities with the most Statistical Data job openings:
What states have the most Statistical Data jobs? States with the most job openings for Statistical Data jobs include:
What job categories do people searching Statistical Data jobs look for? The top searched job categories for Statistical Data jobs are:
Statistical Data jobs near you
Infographic showing various Statistical Data job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Statistical Data Scientist

Staffingine LLC

Edison, NJ • On-site

Contractor

Re-posted 4 days ago

Job description

Job Title: Statistical Data Scientist
Job Location: Edison
Job Type: Contract

Job Description:

  • Design, develop, and implement statistical models and machine learning solutions to solve complex business problems.
  • Apply deep learning techniques including LSTM, N-BEATS, CNN, and RNN for time series forecasting and other predictive tasks.
  • Utilize LLMs for natural language processing and generative AI applications.
  • Develop and optimize mathematical models using Linear Programming and Mixed Integer Programming.
  • Work with optimization tools such as OpenSolver and Gurobi to solve large-scale business problems.
  • Collaborate with business teams and customer FTEs to understand requirements and deliver impactful data-driven solutions.
  • Build and maintain scalable data pipelines and models using platforms like Databricks and Snowflake.
  • Participate in end-to-end modeling lifecycle including data exploration, feature engineering, model development, validation, and deployment.