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Senior Statistical Data Scientist

Remote
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Lead end-to-end R&D analytics from data cleaning and statistical analysis through insights and stakeholder-ready presentations. Requires 10+ years of hands-on experience in statistical methods, predictive modeling, and data visualization using Python and SQL. Strong expertise in hypothesis testing, regression, ANOVA, and machine learning with Scikit-learn is essential.

Key Highlights
10+ years of hands-on experience in statistical data analysis required
Strong Python expertise with Pandas, NumPy, SciPy, Matplotlib, and Seaborn
Experience in predictive modeling using Scikit-learn for classification and regression
Good SQL skills for data extraction, joins, filtering, and aggregation
Ability to independently deliver end-to-end R&D analytics with stakeholder presentations
Key Responsibilities
Deliver end-to-end R&D analytics from data cleaning and statistical analysis through insights, reports, and stakeholder-ready presentations
Perform statistical data analysis using methods including hypothesis testing, regression, correlation, ANOVA, t-test, Mann-Whitney, Kruskal-Wallis, and non-parametric testing
Build and evaluate predictive models using Scikit-learn including classification and regression models
Extract, filter, join, and aggregate data using SQL on large and multi-variable datasets
Create presentation-ready visualizations using Python libraries such as Matplotlib and Seaborn
Document analysis, assumptions, decisions, and results independently
Technical Skills Required
Python SQL Statistical Analysis
Benefits & Perks
Remote work
Nice to Have
Experience with cosmetics, FMCG, pharmaceutical, scientific, sensory, instrumental, formulation data, or Design of Experiments (DoE)

Job Description

Senior Statistical Data ScientistLocation: RemoteExperience: 10+ Years Job Type: Full TImeRequired Skills:10+ years of hands-on experience in statistical data analysis, with strong expertise in statistical methods, distributions, hypothesis testing, regression, correlation, ANOVA, t-test, Mann-Whitney, Kruskal-Wallis, non-parametric testing, and variable transformations.Strong hands-on Python expertise using Pandas, NumPy, SciPy, Matplotlib, and Seaborn for data cleaning, in-depth EDA, statistical analysis, and presentation-ready visualizations. Experience in predictive modeling using Scikit-learn, including classification/regression models, model evaluation, and supporting model testi...

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