Senior Data Scientist

What you'll do

• Lead the design and development of scalable ETL pipelines across platforms such as Snowflake, Hive, Athena
• Partner with cross-functional teams to optimize data architecture and workflows
• Design, develop, evaluate, and deploy ML/AI models in production environments
• Build scalable ML pipelines for training, validation, deployment, and scoring
• Develop advanced predictive models and recommendation engines
• Optimize model performance through experimentation, feature engineering, and ensemble techniques
• Implement automation frameworks to improve productivity and reproducibility
• Leverage AWS technologies including EC2, EMR, S3, Airflow, and Athena
• Build and maintain robust workflows in distributed computing environments
• Generate client-facing modeling insights dashboards and performance reports with a strong focus on accuracy, consistency, and explainability
• Support marketing automation initiatives using Python, Snowflake, Apache Superset, and related technologies
• Work on multiple concurrent projects in a fast-paced, high-growth environment
• Communicate complex findings clearly to both technical and non-technical stakeholders
• Mentor junior team members and contribute to best practices across the data science function

Requirements

• Strong expertise in supervised learning and advanced ML techniques (Random Forest, GBM, regression, neural networks, boosting and bagging methods, ensemble models)
• Proven experience building and productionizing ML pipelines
• Advanced Python proficiency and experience with ML libraries
• Strong data preparation and feature engineering skills
• Experience with Snowflake and distributed data systems
• Working knowledge of Unix and shell scripting
• Strong analytical thinking, attention to detail, and communication skills
• MSc/MS in a quantitative field with 4+ years of experience or BSc with 7+ years of relevant experience

Tech stack