Required Technical and Professional Expertise

• As a leader in Data science organization, lead multiple scrum teams to deliver innovative ML solutions in Ecommerce/Retail/CPG space


• PH.D or Master’s degree in a quantitative field such as computer science, applied mathematics, statistics, physics, engineering or finance


• Overall Data Science, Statistical Analysis, Data Analytics & Machine Learning experience of 10+ years


• 7+ years of experience within the Ecommerce/Retail/CPG domains in implementing data science or AI solutions from exploration to production


• 3+ years of experience in a responsible senior or team lead role managing a team of data scientists who develop robust machine learning models to solve actual business problems


• Expert understanding of ML Production deployments. Have atleast 3+ years of experience in production grade ML design, development & deployment


• Work closely with internal and external stakeholders, both technical and non-technical and help translate deep ML knowledge to stakeholders.


• Work closely with ML engineering/Infrastructure team to help define the vision of ML training and ML inference platforms running on Cloud as well as On-prem


• Mentor and grow Junior data scientists in the team on both DS modelling and software engineering skills


• Expert ability to define Data Science model development & MLOps process, workflows, coding practices & DevOps practices


• Extensive overview of applied methods in statistics, machine learning and artificial intelligence


• Expert understanding of various AI/ML technology stacks including Cloud Based services


• Help define the data science development workflows from coding and architecture best practices, data strategy, to ML training and Inference platforms


• Demonstrated experience in creating AI/ML solutions within the Ecommerce/Retail/CPG space:


• Ecommerce: Demand forecasting; Dynamic Pricing; Markdown optimization; Market Basket Analytics; Search Optimization; Mobile/Web analytics; Virtual Bots; Last mile Delivery optimization; Fulfilment Centre Optimization; Other customer & marketing analytics


• Retail: Store format planning & optimization; Display optimization; Video Analytics; Demand Forecasting; Market Based Analytics; Social media Analytics; Fraud & Anti-theft analytics; In-store offers/pricing optimization; Markdowns, Discounts, offers; Loyalty program optimization; Supplier analytics; Vendor-DC supply chain analytics


• CPG: Market Mix modelling; supply chain analytics; Customer segmentation; Dealer Network optimization; Dealer pricing models; Promotions & offers analytics; Social Media analytics


• Knowledge of software engineering practices such as version control, continuous delivery, unit testing, documentation, release management


• Experience in natural language processing, text analytics, data mining, text processing or other AI subdomains and techniques

Preferred Technical and Professional Expertise

• Experience with open-source distributed data processing & ML frameworks


• Experience working in a Linux environment


• Experience working within a development team setup which is building product/services


• Experience with presenting complex data science processes/information to non-data scientists


• Experience with Information Retrieval and relevant tools such as Lucene, Elasticsearch, Solr


• Prioritization skills; ability to manage ad-hoc requests in parallel with ongoing projects


• Strong experience in both classical ML modeling approaches and Deep learning based model approaches


• Data analysis, reporting, visualization expertise and experience with tools such as Tableau, Alteryx, Python and R at scale


• Good NLP knowledge and cloud experience preferred


• Passion, Drive and Can-do attitude


• Good communication skills


• Willingness to thrive in ambiguous environments