[Hiring] Senior Statistical Data Scientist @Slimelabs

Role Description

The Senior Statistical Data Scientist will be responsible for delivering end-to-end R&D analytics, including:

• Statistical data analysis using various methods and techniques.
• Data cleaning and in-depth exploratory data analysis (EDA).
• Creating presentation-ready visualizations.
• Predictive modeling and model evaluation.
• Documenting analysis, assumptions, decisions, and results.

Qualifications

• 10+ years of hands-on experience in statistical data analysis.
• 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.
• Experience in predictive modeling using Scikit-learn.
• Good SQL skills for data extraction, joins, filtering, and aggregation.
• Ability to work independently on large/multi-variable datasets.
• Experience with cosmetics, FMCG, pharmaceutical, scientific, sensory, instrumental, formulation data, or DoE is preferred.

Requirements

• Ability to independently deliver end-to-end R&D analytics.
• Experience in stakeholder-ready presentations.