Manager - Analytics & Data Science

Key details

Full job description

Seeking a Data Science and Machine Learning professional with 7+ years of experience in Python, ML/AI, statistics, and advanced analytics. The candidate must have expertise in developing ML models and analyzing large datasets. Key skills include Pricing Analytics, Forecasting, Segmentation, A/B Testing, and Test & Learn frameworks. Required ML techniques experience: Linear Regression, Decision Trees, Random Forest, Gradient Boosting, and K-Means Clustering. Strong proficiency in Python, SQL, Excel, and visualization tools with experience in NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, Seaborn, and Plotly. Exposure to Tableau, Power BI, Generative AI, and Prompt Engineering is a plus. The role requires strong communication, stakeholder management, problem-solving skills, and the ability to translate analytics into business recommendations. The candidate should engage in strategic discussions, balance technical delivery with business impact, communicate complex methodologies effectively, research and experiment with new approaches, and manage stakeholder expectations.