Senior Data Science Engineer

Job Description

Lead the end-to-end development of machine learning and data products from problem framing to deployment and monitoring. Build scalable data pipelines and apply statistical methods to ensure solution quality and business impact.

Requirements: Requires a Bachelor's or Advanced degree in a quantitative discipline with 3-7 years of experience in deploying ML solutions at scale. Must have expertise in big data architectures, cloud platforms (AWS/GCP), and production-quality Python coding.

Key Skills: Machine Learning, Deep Learning, Python, PySpark, SQL, AWS, GCP, MLOps, Big Data Architecture, Distributed Processing, Statistical Modeling, CI/CD, Pandas, Scikit-learn, BigQuery, Snowflake

Benefits: Medical Insurance, Dental Insurance, Vision Insurance, Flexible Spending Account, 401(k), Employee Stock Grants, Employee Stock Purchase Plan, Paid Time Off, Paid Holidays, Paid Parental and Family Leave, Family Building Benefits, Back-up Care, Enhanced Family Support, Childcare Subsidy, Tuition Assistance, College Coaching, Short-term Disability, Long-term Disability, Voluntary AD&D Coverage, Voluntary Accident Coverage, Voluntary Life Insurance, Voluntary Disability Insurance, Voluntary Long-term Care Insurance, Mobile Service and Home Internet Discounts, Pet Insurance, Commuter and Transit Programs