STAFF, DATA SCIENTIST
Position Summary...
What you'll do...
About the team
International Data Science team at Walmart Global Tech is focused on using the latest research in machine learning, statistics and optimization to solve business problems in assortment, pricing, sourcing, customer, supply chain, and replenishment areas for multiple countries within Walmart’s global operations. 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. 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.
What You’ll Do
Consult with business stakeholders regarding algorithm-based recommendations and be a thought-leader to develop these into business actions.
Guides data scientists and senior data scientists across the domain DS team to ensure on-time delivery of ML products
Lead multiple complex ML products and guide senior tech leads in the domain in efficiently leading their products.
Proactive identification of complex business problems that can be solved using advanced ML and Generative AI, 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’ll bring
Bachelor's with > 10 years /Masters > 8 years /Ph.D. in Comp Science/Statistics/Mathematics/Quantitative discipline with > 5 years of relevant experience. Educational qualifications should be Computer Science/Statistics/Mathematics or a related area.
Ability to lead data science projects end to end.
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.
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
Google Cloud platform, Vertex AI, model deployment, MLOPs
Respect the Individual:
Demonstrates and encourages respect for all builds a high performing team seeks and embraces differences in people cultures ideas and experiences creates a workplace where all associates feel seen supported and connected through culture of belonging so associates thrive and perform drives a positive associate and customer member experience for all identifies attracts and retains the best team members
Creates a discipline and focus around developing talent through feedback coaching mentoring and developmental opportunities promotes an environment allowing everyone to bring their best selves to work empowers associates and partners to act in the best interest of the customer member and company and regularly recognizes others contributions and accomplishments
Builds strong and trusting relationships with team members and business partners works collaboratively and cross functionally to achieve objectives and communicates and listens attentively with energy and positivity to motivate influence and inspire commitment and action
Act with Integrity:
Maintains and promotes the highest standards of integrity ethics and compliance models the Walmart values and leads by example to foster our culture supports Walmarts goal of becoming a regenerative company by making a positive impact for associates customers and the world around us eg creating a sense of belonging eliminating waste participating in local giving
Follows the law our code of conduct and company policies and sets expectations for others to do the same promotes an environment where associates feel comfortable sharing concerns and reinforces our culture of nonretaliation listens to concerns raised by associates takes action and encourages others to do the same holds self and others accountable for achieving results in a way that is consistent with our values
Acts as an altruistic servant leader and is consistently humble selfaware honest and transparent
Serve our Customers and Members:
Delivers expected business results while putting the customermember first and consistently applying an omnimerchant mindset and acts with an Every Day LowCost mindset to drive value and Every Day Low Prices for customers members
Adopts a holistic perspective that considers data analytics custo mer member insights and different parts of the business when making plans and shaping the teams strategy
Strive for Excellence:
Consistently raises the bar and seeks to improve demonstrates curiosity and a growth mindset seeks feedback asks thoughtful questions fosters an environment that supports learning innovation and learning from mistakes and intelligent risk taking and exhibits resilience in the face of setbacks
Seeks and implements continuous improvements and encourages the team to leverage new digital tools and ways of working
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.
Walmart’s culture sets us apart, and we know being together helps us innovate, learn and grow great careers. This role is based in our Bangalore office for daily work, with the flexibility for associates to manage their 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: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 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.