Position- Data Scientist Location Fremont, California (Day 1 Onsite Position ) Experience-9+ Years Duties
Identify business problems and solve them by using various numerical techniques, algorithms, and models in Operations Research, Data Science, and Data Mining.
Tackle problems on a broad spectrum of areas: Supply Chain Optimization, Inventory & Capacity Planning, Process Design & Optimization, Financial Modeling, Demand Forecasting.
Design and develop creative and innovative Business Intelligence/Analytic solutions from the data coming from various custom systems and databases.
Partner with internal stakeholders to understand business requirements, work with cross-functional data and business teams across Enterprise Operations to build efficient and scalable data solutions.
Analyze current business processes using operational dashboards and identify levers for improving overall performance. Recommend and drive process changes based on robust analysis of operational data and user behavior.
Collaborate with cross-functional data and business teams across Enterprise Operations to access and manipulate data, explain data gathering requirements, display results, and build efficient and scalable analytics solutions
Define, compute, track, and continuously validate business metrics with descriptive and predictive analytics
See beyond the data to identify solutions that will raise the bar for all things operations related. Need to be self-starter
Building analytics solutions and developing algorithms for machine learning, statistics, mathematical programming, and simulation in industry and/or academia
Business intelligence and data warehousing
Data visualization tools, specifically Tableau and statistical analysis tools such as R or Python
SQL development and statistical data analysis
Building dashboards and utilizing data to build reporting solutions