Data Scientist Analyst

Role : Data Scientist Analyst

Location Remote

Experience : 10+Years

Pls find the Job description

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

Requirements:

Bachelors or Master's 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

Optional

• 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