Job Description We are looking for a highly skilled Data Scientist to join our Customer Analytics team. This role focuses on driving customer activation strategies by leveraging data science techniques, particularly classification models, to identify, predict, and influence customer behavior. You will work extensively with PySpark on Databricks, and lead efforts in model development, hyperparameter tuning, and performance optimization. Key Responsibilities: • Develop and deploy classification models to predict customer activation, engagement, and retention. • Design, implement, and optimize PySpark pipelines in Databricks for large-scale data processing. • Apply advanced hyperparameter tuning techniques (e.g., grid search, random search, Bayesian optimization) to enhance model performance. • Work cross-functionally with data engineering, product, and marketing teams to translate business objectives into data-driven solutions. • Monitor and evaluate model performance using robust validation techniques and real-world KPIs. • Conduct exploratory data analysis and feature engineering tailored to activation use cases. • Create dashboards, visualizations, and reports to communicate findings to non-technical stakeholders. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements • 5+ years experience as a data scientist • Strong programming skills in Python, SQL, PySpark • Hands-on experience with Azure Databricks for big data processing and automation. • Demonstrated experience in classification models (logistic regression, random forest, gradient boosting, etc.). • Strong communication skills to collaborate effectively with business and technical teams. • ML flow • Azure Data Factory • Customer activation experience • CPG/FMCG