Statistician

Simbi Labs India Pvt Ltd.; New Delhi; On-site; INR 1,200,000 - 1,500,000; Full time

Job summary

Simbi Labs India Pvt Ltd. is seeking a skilled statistician to design and execute analyses of experimental, observational, and survey data.

You will develop and validate predictive and inferential models using regression, ANOVA, Bayesian methods, and time-series, while performing exploratory data analysis to identify key drivers. You will collaborate with data engineers and scientists to ensure data quality and provide statistical consultation to business, product, and research teams,

Qualifications

• Master's or Ph.D. in Statistics, Applied Mathematics, or a related field.
• 3 - 6 years of hands-on experience in applied statistics, data analysis, or quantitative research.
• Strong command of statistical software and programming languages such as R, SPSS, AMOS, MPlus, SAS, Mathematica, or Stata.
• Proficiency in SPSS, AMOS, MPlus, Stata, R, etc.
• Solid understanding of hypothesis testing, sampling methods, experimental design, regression modeling, and multivariate analysis.

Responsibilities

• Design and execute statistical analyses for experimental, observational, and survey data.
• Develop and validate predictive and inferential models using advanced statistical techniques (regression, ANOVA, Bayesian methods, time-series, etc.).
• Perform exploratory data analysis (EDA) to identify trends, patterns, and key drivers of outcomes.
• Collaborate with data engineers and scientists to ensure data quality, accuracy, and consistency.
• Provide statistical consultation to business, product, and research teams, translating technical results into clear, actionable insights.
• Prepare technical reports, visualizations, and presentations for both technical and non-technical audiences.
• Mentor junior statisticians and data analysts, promoting best practices in statistical modeling and data interpretation.
• The successful candidate will be responsible for collecting, organizing, analyzing, and interpreting numerical data from various internal departments.
• Using advanced statistical tools and techniques, you will extract actionable insights to support strategic decision-making at the executive level.

Skills

Statistical analysis

Data interpretation

Analytical thinking

Problem solving

Communication skills

Independence

Education

Master's or Ph.D. in Statistics/Applied Mathematics

Tools

R

SPSS

AMOS

MPlus

SAS

Mathematica

Stata

Job description

Job Summary

Design and execute statistical analyses for experimental, observational, and survey data. Develop and validate predictive and inferential models using advanced statistical techniques (regression, ANOVA, Bayesian methods, time-series, etc.). Perform exploratory data analysis (EDA) to identify trends, patterns, and key drivers of outcomes. Collaborate with data engineers and scientists to ensure data quality, accuracy, and consistency. Provide statistical consultation to business, product, and research teams, translating technical results into clear, actionable insights. Prepare technical reports, visualizations, and presentations for both technical and non-technical audiences. Mentor junior statisticians and data analysts, promoting best practices in statistical modeling and data interpretation.

Responsibilities

• Design and execute statistical analyses for experimental, observational, and survey data.
• Develop and validate predictive and inferential models using advanced statistical techniques (regression, ANOVA, Bayesian methods, time-series, etc.).
• Perform exploratory data analysis (EDA) to identify trends, patterns, and key drivers of outcomes.
• Collaborate with data engineers and scientists to ensure data quality, accuracy, and consistency.
• Provide statistical consultation to business, product, and research teams, translating technical results into clear, actionable insights.
• Prepare technical reports, visualizations, and presentations for both technical and non-technical audiences.
• Mentor junior statisticians and data analysts, promoting best practices in statistical modeling and data interpretation.
• The successful candidate will be responsible for collecting, organizing, analyzing, and interpreting numerical data from various internal departments.
• Using advanced statistical tools and techniques, you will extract actionable insights to support strategic decision-making at the executive level.

Requirements

• Master's or Ph.D. in Statistics, Applied Mathematics, or a related field.
• 3 - 6 years of hands-on experience in applied statistics, data analysis, or quantitative research.
• Mandate - Strong command of statistical software and programming languages such as R, SPSS, AMOS, MPlus, SAS, Mathematica, or Stata.
• Proficiency in SPSS, AMOS, MPlus, Stata, R, etc.
• Solid understanding of hypothesis testing, sampling methods, experimental design, regression modeling, and multivariate analysis.
• Excellent problem-solving, analytical thinking, and communication skills.
• Ability to work independently and manage multiple projects in a fast-paced environment.