Senior Data Scientist

We are searching for a skilled Senior Data Scientist/Engineer to help fuel our team's data-driven impact. The ideal candidate is passionate about leveraging data to solve complex business problems, has hands-on experience across the modern data engineering and data science stack, and contributes as a dependable, collaborative team member. In this role, you’ll work extensively with Snowflake, including advanced features such as Snowflake Cortex, Cortext Code, Snowflake Intelligence, Snowflake Horizon, and Snowpipe, to build robust data solutions and deploy AI/ML models at scale. In this role, you will… Partner across business functions to drive actionable insights and impactful data solutions through clear communication and storytelling. Design and develop comprehensive dashboards, analytics pipelines, and machine learning models to support critical business objectives. Implement and optimize data workflows using Snowflake (including features like Cortex, Intelligence, Horizon, and Snowpipe). Build and deploy machine learning models using Python and relevant frameworks, focusing on applications such as predictive analytics, recommendation engines, and automation. Collaborate with engineering and analytics teams to drive experimentation, feature engineering, model evaluation, and deployment processes. Write scalable and efficient SQL to analyze and transform data; construct trusted datasets and data products in Snowflake. Build and deploy workflow automations using Python. Mentor junior team members, review their work, and ensure delivery quality and reliability. Translate evolving business requirements into effective data solutions to enable strategic and tactical decision making. Champion data quality and governance, addressing issues proactively and maintaining high data standards. Empower business users to access data and insights through modern self-service tools You have what it takes if you have… Excellent communication skills; experience collaborating across business and technical teams. Demonstrated expertise in BI, data science, and deployment of AI/ML models in business environments. 6+ years of hands-on experience in data analysis, engineering, and visualization. 2+ years of strong hands-on experience with Snowflake, including in-depth exposure to Snowflake Cortex, Snowflake Intelligence, Horizon, and Snowpipe. Proficiency with Python and/or R for data analysis, model building, and pipeline automation. Certification in Snowflake or AI/ML technologies is a plus. Familiarity with MLOps, cloud platforms, and deploying ML models at scale. Solid understanding of data warehousing, ETL processes, and building scalable data products. Exposure to various tools across the modern data engineering and data science ecosystem. Bachelor’s degree in Computer Science, Data Science, or a related discipline (advanced degrees or relevant certifications add an advantage). A dependable attitude—committed, collaborative, and motivated to help the team succeed. Extra dose of awesome if you have… Skills in dbt, Fivetran, Airflow, or similar ETL/data orchestration tools. Exposure to predictive analytics in domains such as customer analytics, Finance, customer service, or revenue modeling. Familiarity with GenAI, LLMs, or vector databases for innovative enterprise use cases. #LI-Onsite