Lenskart was founded with a vision to help people see the beautiful world by revolutionizing the eyewear category in India and beyond. The ten-year-old company now delivers 7 million + spectacles a year in India and Singapore and plans to ship out over a billion glasses over the next ten years. Lenskart being an Omni-channel direct to consumer retail brand provides a unique ecosystem of a full spectrum of analytics use cases which very few companies in the world provide. This creates a unique challenge and opportunity for professionals to learn and contribute, at the same time solve a 2 billion+ problem.
Analytics and data science are core to Lenskart’s business across several aspects: retail & store analytics, digital & e-commerce analytics, marketing analytics, supply chain analytics, customer service, text analytics and more.
While the DS team works centrally, we are deeply embedded with the functional teams and have a very strong say in the operational strategy. We are looking for a strong Data Scientist to work on Advanced Analytics use cases who will enable the use of advanced analytics for the area of Customer analytics, Marketing analytics, Text analytics for helping improve marketing ROI and
About Lenskart Analytics Team - https://blog.lenskart.com/introducing-analytics-lenskart-f007bd3b9c02
Experience using machine learning libraries or platforms such as Tensorflow, Scikit-Learn, Spark ML, Python, SQL, Redshift, and knowledge of AWS environment.
Synthesize large volumes of data with attention to granular details and present findings and recommendations to senior-level stakeholders using advanced modelling & algorithm.
Perform online reporting, collection and analysis of digital metrics, process large clickstream data sets from Google Analytics/Big query to provide online user experience improvement.
Analyze the customer base and build a strong customer segmentation framework to look at our customer base in a strategic manner.
Leverage customer data to build churn models, propensity models etc. to increase the efficiency of our marketing spend.
Working closely with the channel teams on campaign optimization.
Leverage customer chat data for applications in text analytics such as sentiment analysis, NPS prediction, topic modelling etc.
Ability to translate advanced analytics problems into an ML model (deep learning, decision trees, Random forest, GBM, Bayesian models, etc.).
Knowledge of MMM Modelling and MTA Modelling is good to have.
Experience in Retail, Ecommerce, and Marketing advanced analytics ML problems is a must with a deep understanding of one area.
Strong analytical and communication skills. Should be self-driven, highly motivated and able to learn quickly.
Strong understanding of analytics needs and proactive-ness to build generic solutions to improve efficiency.
Lead/Work with many global teams, communicate effectively, both written and verbal, with technical and non-technical multi-functional teams.
Strong project management and communication skills, Excel / PowerPoint / Agile /Jira experience.
Most important - Passion for solving business problems with the use of algorithms, analytics and technology.
Good to have: