Sr. D&T Data Scientist

KEY ACCOUNTABILITIES Deliver on business problems: Partners with business stakeholders to deliver value add insights and intelligent solutions through ML and AI. Collaborates with ML engineers and systems engineers to ensure the models are deployed in a scaled and optimized way. Additionally ensure support the post-production to ensure model performance degrades are proactively managed. Expected to be an expert in the business domain spaces to understand and interact with the business stakeholders. Provide consultation and review the deliveries for the junior data scientists. Recognizes opportunities to apply external industry trends and implements them within role. Is considered an expert in at least one of functional areas; brings together business knowledge, resources, people, and technology to create more effective solutions. Consultation: Lead Interactions with stakeholders to learn on problem statement and drive results. Be an advocate for data science team. Constructively challenge the other data scientists on approach Contribute to best practices as we evaluate new platforms, tools and pipelines. Mentor Jr. Data Scientist / Interns / Contractors Collaborate with analytic leaders across functions. Stakeholder Management: Manage the assigned priorities, consistency of execution and managing resources. Develop trust and credibility with business leaders. Educate stakeholders on the GCP analytic practices. Closely collaborates with the stakeholders on projects and data science leaders to ensure practices are developed and enhanced to support accelerated analytic development and maintainability. Collaboration: Works on problems of diverse scope. Demonstrates good judgment in selecting methods and techniques. Networks with senior internal and external personnel in own area of expertise. Lead research work to new analytic trends aligned to business. Demonstrates learning agility and ability to apply to work. Leverage and contribute to new open-source innovation. MINIMUM QUALIFICATIONS Minimum qualification- bachelor s degree (full time) Total analytics experience required 10-12 Years. Bachelor s or Master degree in computer science/Statistics/Applied Mathematics/Operations research/Industrial engineering from Tier 1 institute. 5+ yrs in a supply chain analytics with strong understanding of supply chain operations inventory management, manufacturing, and distribution Proven implementation of ML and AI practices Expertise in supervised ML algorithms, OLS regression, naive bayes approach, linear attribution model, time decay model, markov chains along with linear optimization and performance tuning Proficiency in FMCG/CPG domain along with experience on cyber security fundamentals is a plus. Technical Platform- include proficiency on Google Cloud Platform, SQL, Python and R Technical Concepts- MLOps, Containerization, Data Lineage and Visualization Experience working with an Agile development methodology featuring sprints, point estimation and daily stand-ups. Excellent stakeholder management skills and storytelling skills Bachelor s degree in computer science/Statistics/Applied Mathematics from Tier 1 institute. AI/ML Expertise in supervised ML algorithms, regression, decision trees, ensemble models, time series, forecasting, neural networks Proven implementation of ML and AI practices Exposure to unsupervised learning and NLP Technical concepts and platforms- MLOps, Containerization, Data Lineage and Visualization. Proficiency on Cloud Platform( GCP preferable), SQL, Python and R PREFERRED QUALIFICATIONS Knowledge of Advanced AI/Deep Learning techniques