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Locations

NCR (Delhi | Gurgaon | Noida)

Experience

1 - 4 years

Salary

{{1500000 / ('' == 'MONTH' ? 12 : 100000) | number}} - {{3500000 / ('' == 'MONTH' ? 12 : 100000) | number}} {{'' == 'MONTH' ? '/mo' : 'lpa'}}

Skills

Python
Machine Learning (ML)
Data Science
MySQL

Job description

Are you passionate about discovering insights hidden in vast amounts of data? Does your curiosity lead you to play with data to decipher an observed pattern? Do you constantly think about how machine learning, statistical modelling and optimization methodologies can help create top-notch consumer experience? If yes, Data Science team at Shuttl is a perfect fit for you. Key Deliverables :- 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 :- 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

About Shuttl

Shuttl is a bus aggregating platform offering shuttle bus service to its commuters in cities like Noida and Gurgaon. The effort is to address the daily commute problem faced by office goers. It's a mobile based minibus service aimed at making your daily commute more convenient. The vehicles are air-conditioned and operate with high frequency on fixed routes freeing you from the hassles of existing public transport options at a very economical price point.

 

Founded

2015

Type

Product

Size

51-250 employees

Stage

Raised funding
View company

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