Location
Mumbai | India
Job description
Role Responsibilities
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
Must - have technical skills and experience
(Expert in section 1 with expsoure to section 2 )
Section1-Operations Research
- Experienced in constructing and solving Linear, Mixed integer, Constraint and non linear programming problems
- Must have hands on experience in solving large scale enterprise level optimization problems and knows how to optimize run time and memory utilization while solving large scale problem
- Should be comfortable in designing 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
Section-2- 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 Google Cloud Platform, SQL, Python and R
Other expertise and experience
- Total analytics experience required 10-12 Years.
- Bachelors (Full time) 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
- Proficiency in 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
Good to have skills
- Knowledge of Advanced AI/Deep Learning techniques
Skill proficiency expectations
- Supply chain analytics
- Google Cloud Platform - Vertex AI, BQ, Composer
- ML supervised algorithms
- LP/MIP mathematical modelling
- FMCG/CPG domain
- Python, SQL
- MLOps
- Google Cloud Architecture
- Deep Learning
Job tags
Salary
