| Immediate Interview || Data Scientist || Fremont, CA || Onsite at Fremont, California, USA |
| Email: [email protected] |
| Role: Data Scientist Location: Fremont, CA EXP: 10+Years Please share resume at [email protected] Skill : SQL, PYTHON, Operations Research, Data Science, and Data Mining. 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 datasolutions. 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 datagathering 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 Requirements : Bachelors or Masters degree in Operations Research, Supply Chain Management, Computer Science, Systems Engineering, Mathematics, Statistics, Quantitative Finance or related field and 5 years of work experience in any analytics-related occupation. Experience in: 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 Handling large volumes of data, and performance tuning Developing with R/Python, SQL Familiarity with optimization software such as Gurobi/Xpress Simulation Modeling using Anylogic(Highly preferable), Arena, simpy or simmeR Solving problems by providing practical business insights from large, complex data sets Presenting technical content to general audiences -- Keywords: rlang information technology California |
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| Tue Jan 30 03:34:00 UTC 2024 |