Principal, Data Scientist

Position: (USA) Principal, Data Scientist
Position Summary...

What you'll do...

Walmart Marketplace Walmart Marketplace is a key part of e-commerce  is a gateway for Third-Party Sellers to manage their operations, such as onboarding, catalogs, order fulfillment, global opportunities, and return & refund management. We are responsible for providing the best in-class marketplace experience for our sellers and customers through the design, development, and operations of highly scalable systems. We interact with multiple teams within the company to develop scalable, robust technical solutions.

The data scientist role will be part of the data science team and will play a key role working along with others within the Marketplace engineering organization, product managers and business stakeholders to build Machine Learning products. More about Marketplace:

What You Will Do:

* Consult with business stakeholders regarding algorithm-based recommendations and be a thought leader to develop these into business actions.

* Closely partner with the Senior Manager and Director of Data Science to drive data science adoption in the domain.

* Guide data scientists, senior data scientists, and 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.

* Proactively identify complex business problems that can be solved using advanced ML, finding opportunities and gaps in the current business domain.

* Evaluate proposed business cases for projects and initiatives.

* Translate business requirements into strategies, initiatives, and projects, align them with business strategy and objectives, and drive the execution of deliverables.

* Set relevant deliverables based on established success criteria and define key metrics to measure progress and effectiveness of the solution.

* Quantify business impact and ensure regular impact measurement of all ML products in the domain.

* Identify and review model evaluation metrics based on analytical requirements.

* Ensure testing information is documented and maintained by the team.

* Play a key role in solving complex problems pivotal to Walmarts business and driving actionable insights.

* Utilize a product mindset to build, scale, and deploy holistic data science products after successful prototyping.

* Demonstrate an 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 to deliver the best services to customers around the globe.

* Work with a 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 engage 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:

* Bachelors, Masters, or Ph.D. with 10-15 years of relevant experience. Educational qualifications should be in Computer Science, Statistics, Mathematics, or a related area.

* Minimum 10 years of experience as a data science technical lead.

* Ability to drive projects from conception to production in a fast-paced, dynamic environment.

* Excellent communication and leadership skills, with the ability to influence and inspire cross-functional teams.

* Deep experience in building data science solutions 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, and Gen-AI.

* In Gen-AI, it is desirable to have experience in embedding generation from training materials, storage and retrieval from vector databases, setup and provisioning of managed LLM gateways, development of retrieval-augmented generation-based LLM agents, model selection, iterative prompt engineering and fine-tuning 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.

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