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Job Description

KEY 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, 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

REQUIREMENTS • 5+ 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

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Rashmi Rameshwar
+91 (0)22 4063 4901