Data Scientist Analytics & Prediction

In this role as a Senior Data Scientist, you will be responsible for owning end-to-end analytics and prediction workflows. You will perform deep statistical analysis to identify trends, correlations, and causal drivers. Additionally, you will build, validate, and maintain predictive and forecasting models, apply inferential statistics to support decisions, and conduct EDA, feature engineering, and data preprocessing for high-quality predictions. Your ability to translate ambiguous business questions into quantifiable analytical and predictive frameworks and deliver clear, data-backed insights to senior leadership with strong storytelling skills will be crucial. Furthermore, you will ensure model accuracy, stability, and explainability over time. Key Responsibilities: - Own end-to-end analytics and prediction workflows from problem framing to business recommendations - Perform deep statistical analysis to identify trends, correlations, and causal drivers - Build, validate, and maintain predictive and forecasting models (time-series, regression-based, multivariate) - Apply inferential statistics (hypothesis testing, confidence intervals, variance analysis) to support decisions - Conduct EDA, feature engineering, and data preprocessing for high-quality predictions - Translate ambiguous business questions into quantifiable analytical and predictive frameworks - Deliver clear, data-backed insights to senior leadership with strong storytelling - Ensure model accuracy, stability, and explainability over time Qualification Required: - 67 years of hands-on experience in Data Science / Advanced Analytics - Strong mastery of Statistics including Descriptive & inferential statistics, Regression analysis & Probability distributions, and Hypothesis testing - Proven experience in Data Prediction & Forecasting, specifically in Time-series analysis (trend, seasonality), KPI, demand, revenue, or operational prediction - Advanced Python skills (Pandas, NumPy, Statsmodels, Scikit-learn) - Strong SQL skills for complex analytical queries and data validation - Ability to independently drive analytical projects and influence decisions It is also beneficial to have exposure to machine learning models (classification, clustering, ensemble methods), understanding of model evaluation, bias, and explainability, as well as experience with LLMs and RAG architectures. Experience integrating analytics outputs with AI-driven applications, familiarity with cloud-based data & analytics environments (AWS / Azure), and proficiency in creating executive-level dashboards and analytical reports are strong good-to-have skills. Additionally, having a Bachelors or Masters degree in Statistics, Mathematics, Data Science, or Computer Science is required for this role. In this role as a Senior Data Scientist, you will be responsible for owning end-to-end analytics and prediction workflows. You will perform deep statistical analysis to identify trends, correlations, and causal drivers. Additionally, you will build, validate, and maintain predictive and forecasting models, apply inferential statistics to support decisions, and conduct EDA, feature engineering, and data preprocessing for high-quality predictions. Your ability to translate ambiguous business questions into quantifiable analytical and predictive frameworks and deliver clear, data-backed insights to senior leadership with strong storytelling skills will be crucial. Furthermore, you will ensure model accuracy, stability, and explainability over time. Key Responsibilities: - Own end-to-end analytics and prediction workflows from problem framing to business recommendations - Perform deep statistical analysis to identify trends, correlations, and causal drivers - Build, validate, and maintain predictive and forecasting models (time-series, regression-based, multivariate) - Apply inferential statistics (hypothesis testing, confidence intervals, variance analysis) to support decisions - Conduct EDA, feature engineering, and data preprocessing for high-quality predictions - Translate ambiguous business questions into quantifiable analytical and predictive frameworks - Deliver clear, data-backed insights to senior leadership with strong storytelling - Ensure model accuracy, stability, and explainability over time Qualification Required: - 67 years of hands-on experience in Data Science / Advanced Analytics - Strong mastery of Statistics including Descriptive & inferential statistics, Regression analysis & Probability distributions, and Hypothesis testing - Proven experience in Data Prediction & Forecasting, specifically in Time-series analysis (trend, seasonality), KPI, demand, revenue, or operational prediction - Advanced Python skills (Pandas, NumPy, Statsmodels, Scikit-learn) - Strong SQL skills for complex analytical queries and data validation - Ability to independently drive analytical projects and influence decisions It is also beneficial to have exposure to machine learning models