Data Science Analyst

4 weeks ago

Fremont, United States Cynet Systems Full time
Pay range: $65.00 to $70.00

Job Description:

Responsibilities:
  • 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 a self starter.
Qualifications:
  • Bachelor's 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:
  • 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 .
Nice to Have:
  • 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 .

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