Understanding project requirements and business goals.
Conceptualize & develop detailed analytical framework for business problem at hand. Involves detailing out heuristics/hypothesis to be tested, potential data points (derived/raw) needed, machine learning techniques to be used.
Data preparation using tools like SQL, R/Python etc. Candidate is expected to be comfortable with at least 2 programming languages with SQL as mandatory.
Develop statistical models for achieving desired business outcomes. This involves trying out multiple algorithms and finding best outcome.
Documentation of entire analytical process starting with raw data to final insights.
Degreefrom reputed University in Maths, Data Science or similar fieldor other quantitative field such as Statistics or Engineering.
Programming skills (Python and SQL are a must have)
Analytical Techniques and Technology.Logical thinking and problem solving.
Statistical Modelling and experience of applying data science into client problems
2 to 4years of experience requiredin advance analytics within consulting environment.
Good theoretical and practical knowledge of tools SAS, R, Python, SQL, VBA etc.
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