Sr. D&T Data Scientist

• 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.

• 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.

• 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.

• 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 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