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 promoting a belonging mindset in the workplace. 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 Walmart Global Tech focuses on using the latest research in machine learning, statistics, and optimization to solve business problems. We mine data, distil 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 Senior Manager of Data Science for Walmart Global Tech, you'll have the opportunity to
- Lead a team of talented data scientists in a variety of engagements
- 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 Cross-Functional teams 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 > 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
Our Ideal Candidate
You are a technically strong and high-performing individual with excellent communication skills, a proven analytical skillset, and customer focus. Have proven experience in leading data science initiatives in areas like fraud prevention, forecasting, shrink and waste reduction, inventory management, recommendation, assortment and price optimization. You stay updated with the latest research and technology ideas and have a passion for utilizing innovative ways to solve problems. You are a good storyteller and able to articulate the intricacies of your models and explain your results clearly to stakeholders. In addition, you have industry knowledge of the retail space, with a keen interest in keeping up to date on the latest happenings in this space.
Additional Preferred Qualifications:
- Domain Knowledge of one or more divisions in Retail
- Published papers or given talks in leading academic and research journals
- Published papers or given talks in Data Science Forums
- Hold data science related patents
Leadership Expectations Respect the Individual:
- Demonstrates and encourages respect for all builds a higher 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 Walmart's 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 self aware honest and transparent
Serve our Customers and Members
- Delivers expected business results while putting the customer member first and consistently applying an omni merchant mindset and acts with an Every Day Low Cost mindset to drive value and Every Day Low Prices for customers members
- Adopts a holistic perspective that considers data analytics customer 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 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...
Block- 1, Prestige Tech Pacific Park, Sy No. 38/1, Outer Ring Rd Kadubeesanahalli , India