Data Scientist

Job Description

Responsibilities: Extract insights & build models to understand /predict Key metrices Work closely with stakeholders to identify business challenges and translate them into data science problems. Collect, clean, and preprocess structured and unstructured data from various sources. Focuses on Research Analysis, model development. Building models (regression, classification, clustering. Etc.) validate and deploy machine learning models to solve real-world business problems. Perform statistical analysis and generate data-driven insights and recommendations. Collaborate with engineering and product teams to implement data solutions. Automate monitoring model performance and retraining. Bachelor's or master's degree in computer science, Data Science, Statistics, Mathematics, or a related field. 5+ years of experience in a data science or machine learning role. Strong Python (PySpark, pandas, scikit-learn, TensorFlow/PyTorch). Hands-on with MLflow for model tracking & deployment. Expertise in Databricks for scalable ML workflows. Expertise in handling data issues including data gaps, duplicates, data drifts etc. Strong SQL skills and experience working with large databases. Solid understanding of statistical modelling, A/B testing, and predictive analytics. Strong grasp of supervised/unsupervised learning, deep learning, and optimization techniques. Experience with A/B testing and model performance monitoring. Experience with cloud platforms (AWS, GCP, or Azure) and working knowledge of MLOps is a plus. Excellent problem-solving skills, communication skills, and attention to detail. Experience deploying models to production using CI/CD pipelines.