Position Summary...
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.
What you'll do...
About Team
The data science team at Enterprise Business Services Pillar at Walmart Global Tech focuses on using the latest research in machine learning, statistics, and optimization to solve business problems. We mine data, distill insights, extract information, build analytical models, deploy Machine Learning algorithms, and use the latest algorithms and technology to empower business decision-making. In addition, we work with engineers to build reference architectures and machine learning pipelines in a big data ecosystem to productize our solutions. Advanced analytical algorithms driven by our team will help Walmart to optimize business operations, business practices and change the way our customers shop.
The data science community at Walmart Global Tech is active in most of the Hack events, utilizing the petabytes of data at our disposal, to build some of the coolest ideas. All the work we do at Walmart Labs will eventually benefit our operations & our associates, helping Customers Save Money to Live Better.
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 & Finance 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 Walmart's 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 Walmart's 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
- Master's with 14 years OR Ph.D. with 15 years of relevant experience. Educational qualifications should be Computer Science/Statistics/Mathematics or a related area.
- Minimum 10 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
Minimum Qualifications...
- 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.
About Walmart Global Tech
From entry-level to executive positions, Walmart provides limitless opportunities for growth, and career development. Walmart started small, with a single discount store and the simple philosophy of selling more for less. Today, we are a growing technology-enabled company founded on the same values as our first store. We establish clear expectations, empower associates to manage their work, and hold ourselves and one another to a high standard. Walmart's scale enables us to have an. No other company has the reach of Walmart, with 2.3 million associates worldwide and over 230 million weekly customers. Walmart is reshaping retail by investing in an expanding workforce. While technology is at the heart of our digital transformation, people are the reason we succeed and the force behind our innovations. We train our team in the skillsets of the future and bring in experts like you to help us grow.
Flexible, Hybrid Work
We use a hybrid way of working with primary in office presence coupled with an optimal mix of virtual presence. We use our campuses to collaborate and be together in person, as business needs require and for development and networking opportunities. This approach helps us make quicker decisions, remove location barriers across our global team, be more flexible in our personal lives.
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.
Equal Opportunity Employer
Walmart, Inc. is an Equal Opportunity Employer By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing diversity- unique styles, experiences, identities, ideas and opinions while being inclusive of all people.
Minimum Qualifications...
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
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.
Preferred Qualifications...
Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
Primary Location...
Pardhanani Wilshire Ii, Cessna Business Park, Kadubeesanahalli Village, Varthur Hobli , India R-1934503
