Profile Requirements
Analyze and dig out carefully vetted, actionable insights from (mostly! pre-cleaned) data.
Turn insights into precise changes in the system; applying a toolset including calculus, statistical modeling, advanced algorithms, and machine learning to create measurable dollar impact.
Scale and generalize forecasting models and optimization algorithms to handle requirements from new markets and clients.
Travel and engage clients directly to translate their business needs into implementable science.
Fundamental math and designing robust algorithms from scratch excites you (as opposed to just running boost.fit).
You care deeply about true measurable value, not just methods; and you are willing to go the many extra miles to create it.
You are hands-on, like to get in there yourself; and can take a vague problem all the way through to designing, implementing, and proving the solution.
You pay attention to writing clean, minimal code; bugs really bother you.
You are pragmatic and have an eye for detail.
Solid understanding of machine learning fundamentals, probability, and algorithms.
At least 1-year of experience coding in R/Python .
1 - 3 years of experience in building analytical models; familiarity with common machine learning techniques.
Experience in C a big plus.
Experience in statistical inference and causal experimentation design a big plus.
Knowledge of data visualization tools like Tableau/Power Bi etc will be an added advantage
Pay Scale : 4.8 Lac - 13.0 Lac
Positions : 3
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