(IND) DISTINGUISHED, DATA SCIENTIST
Position Summary...
What you'll do...
About Team:
The Data Science team at Walmart Global marketplace is focused on applying the latest research in machine learning, statistics and optimization to solve business problems in areas powering Marketplace growth and operation efficiency for multiple countries within Walmart’s global operations. We, build and deploy Machine Learning models and use the latest algorithms and technology to empower business decision-making. We work with engineers to build reference architectures and machine learning pipelines in a big data ecosystem to productize our solutions.
What you'II Do:
As a Distinguished Data Scientist in the Marketplace data sciences team, you'll have the opportunity to -
• Drive innovative strategic solutions for Marketplace utilizing advanced SOTA AI and ML solutions at large scale and at accelerated pace.
• Drive data-derived insights by developing advanced statistical models, machine learning algorithms and computational algorithms based on business initiatives
• Work closely with Directors, Sr. Managers of Data Science, and leaders of Architecture, Engineering, Product & business teams to drive the Organizational strategy around Marketplace.
• Direct the gathering of data, assess data validity and synthesize data into large analytics datasets to support project goals
• Mentor and guide a set of Data Scientists, Data Analysts across IDC and US to drive Marketplace growth and operation efficiency using advanced Machine Learning and Gen AI.
• 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
• Consult with product and business stakeholders regarding algorithm-based recommendations and be a thought-leader to develop these into business actions.
• Guides data scientists, senior data scientists and staff data scientists across the domain DS team to ensure on-time delivery of ML products.
• Proactive collaboration with cross-functional teams on driving the end-to-end content improvement.
• Research oriented development to find innovative solutions on content improvement, with a strong grasp of multi-lingual and multi-modal foundational models.
• Guides the data science team members to ensure on-time delivery of ML products
• Proactive identification of complex business problems that can be solved using advanced ML and Computer Vision, 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
• Guide teams to perform model deployment following MLOps guidelines.
• 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'II Bring:
- Bachelor's with > 20 years, Masters > 17 years OR Ph.D. in Comp Science/Statistics/Mathematics with > 14 years of relevant experience. Educational qualifications should be Computer Science/Statistics/Mathematics or a related area.
- Experience of acting as a tech lead for > 10 years.
- Ability to lead data science projects end to end.
- Deep experience in building data science solutions at the scale of billions of datapoints across many countries.
- Strong experience in machine learning, supervised and unsupervised: NLP, Classification, Data/Text Mining, Multi-modal supervised and unsupervised models, Neural Networks, Deep Learning Algorithms, Generative AI models.
- Experience in analyzing complex problems and translating them into analytical solutions.
- Deep experience in analyzing complex problems and translating them into analytical solutions.
- Strong experience in Computer Vision, image processing, object detection, Deep learning. Exposure to image features, edge detection, blur, sharpness, corner detection, face detection, knowledge of how image data is represented.
- Knowledge of Deep learning, CNNs, and components of CNNs, loss functions for classification, object detection, segmentation.
- Experience in machine learning: Classification models, regression models, NLP, Forecasting, Unsupervised models, Optimization, Recommendation models, deep-learning, Graph ML, Causal inference, Causal ML, Statistical Learning, experimentation
- Ability to utilize data science solutions outcomes to drive predictive and prescriptive analytics.
- Experience with big data analytics - identifying trends, patterns, and outliers in large volumes of data
- Ability to scale and deploy data science solutions.
- Experience in LLMs, VLMs, embedding generation from multimodal data, 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.
- Strong Experience in Python, PySpark, OpenCV, Python, C++, Keras, tensorflow, pytorch, big data platforms like Hadoop
- Google Cloud platform, Vertex AI, Kubeflow, model deployment, Kafka streaming, API development & deployment, CI/CD, MLOPs
About Walmart Global Tech
Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That’s what we do at Walmart Global Tech. We’re a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world’s leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered.
We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.
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.
Belonging
We aim to create a culture where every associate feels valued for who they are, rooted in respect for the individual. Our goal is to foster a sense of belonging, to create opportunities for all our associates, customers and suppliers, and to be a Walmart for everyone.
At Walmart, our vision is "everyone included." By fostering a workplace culture where everyone is—and feels—included, everyone wins. Our associates and customers reflect the makeup of all 19 countries where we operate. By making Walmart a welcoming place where all people feel like they belong, we’re able to engage associates, strengthen our business, improve our ability to serve customers, and support the communities where we operate.
Equal Opportunity Employer
Walmart, Inc., is an Equal Opportunities 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 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: Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 6 years' experience in an analytics related field. Option 2: Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field. Option 3: 8 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.