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Customer Data Science
Purpose of the Role:
Customer marketing vision is to deliver the most relevant content to the right customer at the right time through their preferred channel(s) of choice.
The Organic Growth team within Enterprise Digital & Analytics(EDA) is focused on developing, innovating and integrating, information driven marketing strategy globally. The teams’ focus is on driving customer acquisitions by giving treatments to our existing customer base like upgrades, cross sells and family cards (supplementary) which have proven to increase engagement, deepen relationship and thereby give incremental revenue. The team works at developing the economic estimate of such treatments through predictive modeling which can be utilized in future ROI based investments. The team also designs personalized and timely curriculum to deliver to the customer across various customer life stages such as early tenure, organic, pre attrition and retention through advanced data science techniques.
The role requires exhibiting a high level of expertise in guiding the data strategy through statistical analysis, decision support logic and data techniques. This is an exciting opportunity for someone to step into a very challenging role. He / She will drive improvements in generating data driven actionable strategies to enable business growth initiatives.
Key focus areas will include:
Development of analytical infrastructure to improve relevance of customer marketing by identifying the right offers for each card member
Leverage the power of closed loop through Company network to make offer targeting more intelligent and relevant
Innovation with focus on developing newer and better approaches using big data & machine learning solutions The individual is expected to create holistic recommendation by pulling data from different data sources and make effective and persuasive presentations for project teams and business leaders. He/She will work directly with central marketing teams to drive above strategies.
Critical Factors to Success:
Build cutting edge and customized Machine Learning /AI algorithms to enhance modeling accuracy and efficiency
Innovate modeling techniques and variable creation to solve business problems
Support analytics across the lifecycle from pre-sales to attrition
Put enterprise thinking first, connect the role’s agenda to enterprise priorities and balance the needs of customers, partners, colleagues & shareholders.
Lead with an external perspective, challenge status quo and bring continuous innovation to our existing offerings
Demonstrate learning agility, make decisions quickly and with the highest level of integrity
Lead with a digital mindset and deliver the world’s best customer experiences every day
0-3 years of relevant experience.
Preference: Prior experience in online commerce analytics/marketing. Experience of analysis / modeling of digital data is a plus
Bachelor's in Statistics/Mathematics/Economics/Engineering with relevant experience
Post Graduate in Statistics/Mathematics/Economics/Engineering/Management
Data Science/Machine Learning/Artificial Intelligence
◦ Expertise in Coding, Algorithm.
◦ Unsupervised and supervised techniques - : active learning, transfer learning, neural models, Decision trees, reinforcement learning, graphical models, Gaussian processes, Bayesian models, map Reduce techniques