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Job Description
Job Description
Identifying and modeling the key drivers of consumer behavior using internal and external data.
Developing prediction models to deliver key business outcomes.
Problems include working on demand forecasting, demand driven supply planning etc.
Developing optimized transportation network design for Shuttl operations to drive strategic growth
Developing algorithms to predict static and dynamic schedule of Shuttl arrival times.
Presenting clear and actionable recommendations to Products and Engineering leadership.
Relentless pursuit of achieving business goals using the power of data
4+ years of experience.
Ability to crisply define the business problem and translate it into analytical/empirical problem
Experience in building ML models or statistical models in R or Python
Knowledge of underlying mathematical foundations of statistical inference/ forecasting/ Optimization
Prior experience on network optimization problems if preferred.
Proficiency in Python, CPLEX, SQL, NoSQL, Cassandra
Qualities Needed for This Jobs
Python, Sql
Candidate Profile
Job Descriptionkey Result Areas (kras)identifying And Modeling The Key Drivers Of Consumer Behavior Using Internal And External Data.developing Prediction Models To Deliver Key Business Outcomes.problems Include Working On Demand Forecasting,
Looking for Ml/llm graduates profile.
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More Information
Location Delhi
Education Ml/llm
Experience 4 (yrs)
Industry Human Resources
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