Role Description
Designs, prototypes, and builds models - which act as engines for all the use cases
Maintains models including updates on monthly basis to support use cases
Profile
Degree: Postgraduate from a quantitative field (Engineering, Statistics, Mathematics, Sciences, Finance)
Minimum experience:
2 years' experience in a statistical and/or data science role
Working with large data sets, simulation/ optimization and distributed computing tools
Minimum skills:
Deep knowledge of machine learning, statistics, optimization or related fields
Experience with one of: SAS, SPSS, Matlab, Map/Reduce, Hadoop, Hive, Spark, Gurobi, Arena, Alteryx and SQL
Language proficient in one of: R, Python
Other considerations: Excellent written and verbal communication skills along with strong desire to work in cross functional teams in a fun, fast-paced environment
Responsibilities
Engine Creator
Understands business problems and designs end-to-end analytics models
Ensures that these models create value for business units Implements and deploys scalable solutions; maintains models Performance Management
KPIs & Performance management based on use cases delivery and value contribution
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