Lead the end-to-end development of machine learning and data products from problem framing to deployment. 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 ML, deep learning, and big data architecture. Proficiency in Python, cloud platforms (AWS/GCP), and distributed data systems is essential.
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-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 & Home Internet Discounts, Pet Insurance, Commuter and Transit Programs
#J-18808-LjbffrSenior Data Science Engineer in bellevue at Unknown Company
This position is listed as full time and onsite.