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Form of work No. Of Vacancy : 01 Experience(In years) : 7+ City : Bangalore Job Description : Educational Qualification : Bachelors/ Masters/ PhD degree in Math, Computer Science, Information Systems, Machine Learning, Statistics, Econometric, Applied Mathematics, Operations Research or related technical degree
Relevant Experience :
7+ years of work experience in a related position, as a data scientist or Statistician building predictive analytics solutions for various types of business problems
Functional Competencies :
Must have : Advanced knowledge of statistical techniques, machine learning algorithms, data mining, text mining
Programming background and expertise in building models using at least one of the following languages : SAS, Python, R
Strong story-telling & articulation skills ability to convert analytical output into clear, concise, and persuasive insights & recommendations for technical & non-technical audience
Experience in handling big datasets (Structured or. unstructured data). Ability to understand business problems and convert them to an optimal data strategy.
Provide solutions but not limited to: Customer Segmentation & Targeting, Propensity Modelling, Churn Modelling, Lifetime Value Estimation, Forecasting, Recommender Systems, Modelling Response to Incentives, Marketing Mix Optimization, Price Optimization
Good to have :
Experience working with big data platforms, like Hadoop, Hive, HBase, Spark, etc
About Client: Our client is a fast growing VC-backed on-demand start up focused on revolutionizing the food delivery industry. We are made up of unbelievably awesome teams that are synonymous with talent, ambition, smartness, passion, versatility and focus. Hyper-productivity and creativity is what we value most as we build a start-up environment where curiosity is expected and high performance is the norm.
Their primary focus is on customer experience ensuring superfast deliveries and doing this in the most seamless fashion for their customers. They are trying to execute this vision through our smartphone equipped delivery fleet, something which is unique compared to other food ordering platforms. Guided by an app and powered by custom built routing algorithms, we are building up a wondrous network of on-demand food delivery, one city at a time! They are doing the food delivery biz in Eight cities-Bengaluru, Hyderabad, Mumbai, Gurgaon, Pune, Delhi, Chennai and Kolkata - across India. They have raised close to USD 20 million in Series A and Series B funding and USD 35 Million Dollars in a fresh round of funding this January 2016. Share CV: Please share the updated profile at [email protected],
