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Principal Data Scientist - Bengaluru/Bangalore @ Walmart

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 Principal Data Scientist - Bengaluru/Bangalore

Job Description

  • Drives the execution of multiple business plans and projects by identifying customer and operational needs; developing and communicating business plans and priorities; removing barriers and obstacles that impact performance; providing resources; identifying performance standards; measuring progress and adjusting performance accordingly; developing contingency plans; and demonstrating adaptability and supporting continuous learning
  • Provides supervision and development opportunities for associates by selecting and training; mentoring; assigning duties; building a team-based work environment; establishing performance expectations and conducting regular performance evaluations; providing recognition and rewards; coaching for success and improvement; and ensuring diversity awareness
  • Promotes and supports company policies, procedures, mission, values, and standards of ethics and integrity by training and providing direction to others in their use and application; ensuring compliance with them; and utilizing and supporting the Open Door Policy
  • Ensures business needs are being met by evaluating the ongoing effectiveness of current plans, programs, and initiatives; consulting with business partners, managers, co-workers, or other key stakeholders; soliciting, evaluating, and applying suggestions for improving efficiency and cost-effectiveness; and participating in and supporting community outreach events
Your Opportunity
  • As a Principal Data Scientist for Walmart Global Tech, you'll have the opportunity to
  • Drive data-derived insights across a wide range of retail divisions by developing advanced statistical models, machine learning algorithms and computational algorithms based on business initiatives
  • Direct the gathering of data, assess data validity and synthesize data into large analytics datasets to support project goals
  • Utilize big data analytics and advanced data science techniques to identify trends, patterns, and discrepancies in data. Determine additional data needed to support insights
  • Build and train AI/ML models for replication for future projects
  • Deploy and maintain the data science solutions
  • Communicate recommendations to business partners and influence future plans based on insights
What You Will Do
  • Consult with business stakeholders regarding algorithm-based recommendations and be a thought-leader to develop these into business actions.
  • Closely partners with the Senior Manager & Director of Data Science to drive data science adoption in the domain
  • Guides. data scientists, senior data scientists & staff data scientists across multiple sub-domains to ensure on-time delivery of ML products
  • Drive efficiency across the domain in terms of DS and ML best practices, ML Ops practices, resource utilization, reusability and multi-tenancy.
  • Lead multiple complex ML products and guide senior tech leads in the domain in efficiently leading their products.
  • Drive synergies across different products in terms of algorithmic innovation and sharing of best practices.
  • Proactive identification of complex business problems that can be solved using advanced ML, finding opportunities and gaps in the current business domain
  • Evaluates proposed business cases for projects and initiatives
  • Translates business requirements into strategies, initiatives, and projects and aligns them to business strategy and objectives, and drives the execution of deliverables
  • Sets relevant deliverables based on the established success criteria and define key metrics to measure progress and effectiveness of the solution
  • Quantifies business impact and ensures regular impact measurement of all ML products in the domain.
  • Identifies and reviews model evaluation metrics based on analytical requirements
  • Ensures testing information is documented and maintained by the team
  • Play a key role to solve complex problems, pivotal to Walmarts business and drive actionable insights
  • Utilize product mindset to build, scale and deploy holistic data science products after successful prototyping
  • Demonstrate incremental solution approach with agile and flexible ability to overcome practical problems
  • Articulate and present recommendations to business partners and influence plans based on insights
  • Partner and engage with associates in other regions for delivering the best services to customers around the globe
  • Work with the customer-centric mindset to deliver high-quality business-driven analytic solutions.
  • Drive innovation in approach, method, practices, process, outcome, delivery, or any component of end-to-end problem solving
  • Proactively engages in the external community to build Walmarts brand and learn more about industry practices
  • Promote and support company policies, procedures, mission, values, and standards of ethics and integrity
What You Will Bring
  • Masters with > 12 years OR Ph.D. with > 10 years of relevant experience. Educational qualifications should be Computer Science/Statistics/Mathematics or a related area.
  • Minimum 5 years of experience as a data science technical lead
  • Ability to lead multiple data science projects end to end.
  • Deep experience in building data science solution in areas like fraud prevention, forecasting, shrink and waste reduction, inventory management, recommendation, assortment and price optimization
  • Deep experience in simultaneously leading multiple data science initiatives end to end - from translating business needs to analytical asks, leading the process of building solutions and the eventual act of deployment and maintenance of them Strong experience in machine learning: Classification models, regression models, NLP, Forecasting, Unsupervised models, Optimization, Graph ML, Causal inference, Causal ML, Statistical Learning, experimentation & Gen-AI
  • In Gen-AI, it is desirable to have experience in embedding generation from training materials, storage and retrieval from Vector Databases, set-up and provisioning of managed LLM gateways, development of Retrieval augmented generation based LLM agents, model selection, iterative prompt engineering and finetuning based on accuracy and user-feedback, monitoring and governance.
  • Ability to scale and deploy data science solutions.
  • Strong Experience with one or more of Python and R.
  • Experience in GCP/Azure
  • Strong Experience in Python, PySpark
  • Google Cloud platform, Vertex AI, Kubeflow, model deployment
  • Strong Experience with big data platforms - Hadoop (Hive, Map Reduce, HQL, Scala)
  • Experience with GPU/CUDA for computational efficiency
Benefits
Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include a host of best-in-class benefits maternity and parental leave, PTO, health benefits, and much more.
 
Minimum Qualifications
Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years experience in an analytics related field.
Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years experience in an analytics related field.
Option 3: 7 years experience in an analytics or related field.

Job Classification

Industry: IT Services & Consulting
Functional Area: IT Services & Consulting
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time

Contact Details:

Company: Walmart
Location(s): Bengaluru

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Keyskills:   data science Analytical Consulting Monitoring Python Networking Machine learning GCP Agile

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