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 degree in a quantitative discipline and 5+ years of experience, or an advanced degree and 3+ years of experience. Must have 4-7 years of experience deploying ML solutions at scale and working with big data architectures and cloud platforms.

Key Skills: Machine Learning, Deep Learning, Python, PySpark, SQL, AWS, GCP, BigQuery, Snowflake, Redshift, MLOps, DevOps, Distributed Processing, Statistical Modeling, CI/CD, Data Structures

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- and long-term disability, Voluntary AD&D coverage, Voluntary accident coverage, Voluntary life insurance, Voluntary disability insurance, Voluntary long-term care insurance, Mobile service & home internet discounts, Pet insurance, Commuter and transit programs