Product Manager, Data Scientist
Core
Define and deliver data-driven products, analytical capabilities, and intelligent workflows at the intersection of customer needs, business strategy, data, and technology.
Role type
Product Manager with strong emphasis on data science
Builds
End-to-end AI solutions, data-driven products, analytical capabilities, and intelligent workflows
Domain
Semiconductor equipment and materials science
Deliverable
production ML models
Required skills
Product vision and roadmap definition, data analysis, stakeholder management, cross-functional leadership, machine learning lifecycle management, statistical process control, SQL pipeline architecture, machine learning model development and validation
Preferred skills
Advanced degree in data science or related field, experience with enterprise/industrial/manufacturing products, familiarity with MLOps and model monitoring, experience taking ML solutions from prototype to production
Technologies
Python (Pandas, scikit-learn, PyTorch, TensorFlow), SQL, R, Java, C/C++, JavaScript, Databricks, Apache Spark, Hadoop, AWS EC2, Google Cloud Platform, Docker, PostgreSQL, MySQL, Tableau, Power BI, MATLAB, SAS, SPSS
Responsibilities
Develop and communicate product vision, strategy, and roadmap for data science-enabled products; Identify high-value customer and business problems through research and data analysis; Translate product opportunities into requirements and measurable outcomes; Partner with data science, engineering, and business teams throughout the product lifecycle; Drive development of machine learning models across the full lifecycle; Apply data mining and ML algorithms for forecasting and pattern recognition; Architect centralized intelligence hubs and optimize SQL pipelines; Automate data orchestration and implement statistical process control; Develop and validate ML models for defectivity prediction; Guide experimentation and validation plans
Seniority
Mid-Senior level, hands-on IC