Data Scientist - Bengaluru, India - SS Supply Chain Solutions
Description
Your role as a Data Scientist- Undertaking data collection, preprocessing and analysis
- Building models to address business problems
- Presenting information using data visualization techniques
- Identify valuable data sources and automate collection processes
- Undertake preprocessing of structured and unstructured data
- Analyse large amounts of information to discover trends and patterns
- Build predictive models and machinelearning algorithms
- Combine models through ensemble modelling
- Present information using data visualization techniques
- Propose solutions and strategies to business challenges
- Research and develop statistical learning models for data analysis
- Collaborate with product management and engineering departments to understand company needs and devise possible solutions
- Keep uptodate with latest technology trends
- Communicate results and ideas to key decision makers
- Implement new statistical or other mathematical methodologies as needed for specific models or analysis
- Optimize joint development efforts through appropriate database use and project design
- Bachelor's Degree in Computer Science, Statistics, Applied Math, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred
- 4+ years' practical experience as a Data Scientist
- Experience with programming languages such as Java/Python an asset
- Forecasting & Optimization algos and Knowledge of Optimisation Research, Solvers like Gurobi etc is a huge plus
- Understanding of advance machinelearning algorithms and operations research
- Deep Knowledge of SQL and Python; familiarity with Scala, Java or C++ is an asset
- Experience in using Python, Statistical and data mining techniques
- Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop)
- Analytical mind and business acumen
- Strong math skills (e.g. statistics, algebra)
- Extensive background in data mining and statistical analysis
- Able to understand various data structures and common methods in data transformation
- Excellent pattern recognition and predictive modelling skills
- Problemsolving aptitude
- Excellent communication and presentation skill
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