Data Scientist - Analytics & Prediction

As a Senior Data Scientist at our company, you will be responsible for utilizing your expertise in statistics, data analytics, and predictive modeling to drive impactful outcomes. Your role will be analytics-first and outcome-driven, focusing on owning data interpretation, forecasting, and decision support. You will be expected to independently solve complex business problems with statistical rigor and construct reliable prediction models. Exposure to machine learning and GenAI (RAG) will be advantageous for this position. Your core responsibilities will include: - Owning end-to-end analytics and prediction workflows, from problem framing to providing business recommendations - Performing deep statistical analysis to identify trends, correlations, and causal drivers - Building, validating, and maintaining predictive and forecasting models such as time-series, regression-based, and multivariate models - Applying inferential statistics, including hypothesis testing, confidence intervals, and variance analysis, to support decision-making - Conducting exploratory data analysis (EDA), feature engineering, and data preprocessing to ensure high-quality predictions - Translating ambiguous business questions into quantifiable analytical and predictive frameworks - Delivering clear, data-backed insights to senior leadership through effective storytelling - Ensuring model accuracy, stability, and explainability over time Must-Have Skills (Non-Negotiable): - 6-7 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, including time-series analysis (trend, seasonality) and prediction of KPIs, demand, revenue, or operational metrics - Advanced Python skills (Pandas, NumPy, Statsmodels, Scikit-learn) - Strong SQL proficiency for complex analytical queries and data validation - Ability to independently lead analytical projects and influence decisions Good-to-Have Skills (ML & GenAI Exposure): - Experience with machine learning models such as classification, clustering, and ensemble methods - Understanding of model evaluation, bias, and explainability - Exposure to LLMs and RAG architectures, including embeddings and semantic search, vector databases (FAISS, Pinecone, Chroma), LangChain / LlamaIndex frameworks - Experience integrating analytics outputs with AI-driven applications - Familiarity with cloud-based data & analytics environments (AWS / Azure) Visualization & Communication: - Experience creating executive-level dashboards and analytical reports - Strong data storytelling skills for non-technical stakeholders - Ability to explain statistical and predictive results clearly and confidently Education: - Bachelor's or Master's degree in Statistics, Mathematics, Data Science, Computer Science Join us in our mission to leverage data and analytics for driving informed decision-making and business growth. As a Senior Data Scientist at our company, you will be responsible for utilizing your expertise in statistics, data analytics, and predictive modeling to drive impactful outcomes. Your role will be analytics-first and outcome-driven, focusing on owning data interpretation, forecasting, and decision support. You will be expected to independently solve complex business problems with statistical rigor and construct reliable prediction models. Exposure to machine learning and GenAI (RAG) will be advantageous for this position. Your core responsibilities will include: - Owning end-to-end analytics and prediction workflows, from problem framing to providing business recommendations - Performing deep statistical analysis to identify trends, correlations, and causal drivers - Building, validating, and maintaining predictive and forecasting models such as time-series, regression-based, and multivariate models - Applying inferential statistics, including hypothesis testing, confidence intervals, and variance analysis, to support decision-making - Conducting exploratory data analysis (EDA), feature engineering, and data preprocessing to ensure high-quality predictions - Translating ambiguous business questions into quantifiable analytical and predictive frameworks - Delivering clear, data-backed insights to senior leadership through effective storytelling - Ensuring model accuracy, stability, and explainability over time Must-Have Skills (Non-Negotiable): - 6-7 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, including time-series analysis (trend, seasonality) and prediction of KPIs, demand, revenue, or operational metrics - Advanced Python skills (Pandas, NumPy, Statsmodels, Scikit-learn) -