Job description
• Experience understanding key performance levers and metrics to highlight operational issues and drive improvement. Proven history of designing and developing in-depth analytical solutions • Expert knowledge and practical experience in building and communicating results of forecasting models. • Strong sense of levers impacting forecast accuracy and ability to gain trust with stakeholders • Practical experience solving real world problems and understanding of predictive modeling and algorithms for classification, regression, clustering, and anomaly detection • Innate curiosity and bias for action with expert ability to identify, define and execute project plans and develop modeling approaches suitable for the problem • Self-sufficient with an ability to thrive in an environment of autonomy amidst ambiguity. Strong critical thinking and problem solving ability • Sound communication skills - adept at messaging domain and technical content, at a level appropriate for the audience. • Phenomenal team player - invested in the collective success of the team and project outcomes • Experience with data acquisition tools (e.g. SQL), data mining and data visualization. Familiarity with big data technologies eg: Hadoop, Spark, Hive. Strong background in machine learning libraries and frameworks such as Scikit Learn, TensorFlow, PyTorch • Familiarity with optimization algorithms and tools (Gurobi/ Cplex/ Xpress) is a plus • Experience prototyping, developing software and implementing data science pipelines and applications in programming languages (Python/Java/C++)
Address
Cupertino, CA
