
Sr. Data Scientist | Digital & Technology
- Mumbai, Maharashtra
- Permanent
- Full-time
- Partners with business stakeholders to deliver value-added 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 for the post-production to ensure model performance degradation is 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 the role
- Is considered an expert in at least one of the functional areas; brings together business knowledge, resources, people, and technology to create more effective solutions.
- Lead Interactions with stakeholders to learn about the problem statement and drive results
- Be an advocate for the data science team
- Constructively challenge the other data scientists on the 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 manage 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 their own area of expertise
- Lead research work on new analytic trends aligned to business
- Demonstrates learning agility and ability to apply to work
- Leverage and contribute to new open-source innovation
- 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 in Google Cloud Platform, SQL, Python, and R
- Experienced in constructing and solving Linear, Mixed integer, Constraint, and nonlinear programming problems
- Must have hands-on experience in solving large-scale enterprise-level optimization problems and know how to optimize run time and memory utilization while solving large-scale problems.
- Should be comfortable in designing their own heuristic algorithms or implementing any known heuristic approach.
- Have worked in areas like network optimization, cutting stock, knapsack kind of problems
- Must have worked in at least a couple of major commercial/open source OR tools and software like Python, Google OR tools, IBM Ilog Cplex, Gurobi, AIMMS, FICO Express, etc.
- Total analytics experience required: 10-12 Years.
- Bachelor’s or master’s degree in computer science/Statistics/Applied Mathematics/Operations research/Industrial engineering from a Tier 1 institute.
- 5+ years in supply chain analytics with a strong understanding of supply chain operations, inventory management, manufacturing, and distribution
- Proficiency in the FMCG/CPG domain
- Experience working with an Agile development methodology featuring sprints, point estimation, and daily stand-ups.
- Excellent stakeholder management skills and storytelling skills
- Expert experience in Google Cloud Platform - VertexAI, BQ, Compose, ML supervised algorithms, LP/MIP mathematical modeling, MGCG/ CPG domain, Python, and SQL
- Intermediate experience with MLOps, Google Cloud Architecture, and Deep Learning
- Knowledge of Advanced AI/Deep Learning techniques