Data Scientist (AI/ML)

10 - 17 years

45 - 55 Lacs

Posted:3 hours ago| Platform: Naukri logo

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Work Mode

Hybrid

Job Type

Full Time

Job Description

Position Title:

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About General Mills

  • 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

  • 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.
  • Bachelor's or master's 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 expectationsExpert levelIntermediate LevelBasic Level

  • 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


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General Mills logo
General Mills

Manufacturing

Minneapolis Minnesota

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