Data Analyst II

Role Summary We are looking for a Data Scientist to join our Data Analytics & AI team and support the development of predictive models, analytical insights, and AI-driven solutions across business functions such as Sales, Finance, Operations, and Supply Chain. This is a hands-on individual contributor role suitable for a data scientist who has strong fundamentals and is ready to work on real-world enterprise data problems. Key Responsibilities • Develop, validate, and deploy machine learning and statistical models for business use cases such as forecasting, segmentation, anomaly detection, and optimization • Perform exploratory data analysis (EDA) to uncover patterns, trends, and business insights • Work with large structured datasets from data warehouses (e.g., Snowflake, Databricks) and enterprise systems (ERP, CRM, etc.) • Collaborate with Data Scientist lead, data engineers and BI teams to ensure data quality, feature readiness, and pipeline reliability • Translate business problems into analytical problem statements and measurable outcomes • Present findings and model outputs clearly to business and technical stakeholders • Support model monitoring, performance evaluation, and continuous improvement • Document models, assumptions, and methodologies following enterprise standards Required Skills & Qualifications • 4–6 years of experience in Data Science, Advanced Analytics, or a similar role • Strong proficiency in Python (pandas, NumPy, scikit-learn, statsmodels) • Solid understanding of: • Supervised & unsupervised learning • Regression, classification, clustering • Time-series forecasting (ARIMA, Prophet, ML-based approaches • Experience with SQL and working on cloud data platforms (Snowflake preferred) • Knowledge of statistics, hypothesis testing, and model evaluation techniques • Experience working with real-world noisy data and data quality issues • Ability to communicate analytical insights in a simple, business-friendly manner