Senior Analyst

The ideal candidate must possess strong Data Scientist abilities to join our team and help build next generation machine learning solutions powering customer intelligence, marketing optimization, and sales enablement.

This role focuses on designing and operationalizing scalable ML models that drive customer acquisition, improve targeting precision, and enable data-driven decision-making across marketing and sales platforms.

Role and Responsibilities: Develop and deploy ML models such as Look-alike models, Purchase Intent models, and Propensity scoring framework Build household-level and route-level scoring models to optimize B2B sales targeting and territory planning Design scalable customer segmentation frameworks using supervised and unsupervised learning techniques Enable campaign activation by integrating model outputs into marketing platforms Work with large structured and unstructured datasets (CRM, sales, marketing, behavioral data) Collaborate with cross-functional teams to productionize models and deliver business impact

Technical and Functional Skills: Strong experience in Python, SQL, and machine learning libraries (Scikit-learn, XGBoost, LightGBM) Expertise in classification, clustering, feature engineering, and model evaluation (AUC, ROC, Lift) Experience working with large datasets and building scalable ML pipelines Strong analytical thinking and ability to translate business problems into ML solutions Preferred Experience with cloud platforms (GCP Vertex AI, AWS, or Azure ML) Experience in marketing analytics, customer analytics, or propensity modeling Exposure to model deployment and MLOps workflows