Position Summary...
Demonstrates up-to-date expertise and applies this to the development, execution, and improvement of action plans by providing expert advice and guidance to others in the application of information and best practices; supporting and aligning efforts to meet customer and business needs; and building commitment for perspectives and rationales. Provides and supports the implementation of business solutions by building relationships and partnerships with key stakeholders; identifying business needs; determining and carrying out necessary processes and practices; monitoring progress and results; recognizing and capitalizing on improvement opportunities; and adapting to competing demands, organizational changes, and new responsibilities. Models compliance with company policies and procedures and supports company mission, values, and standards of ethics and integrity by incorporating these into the development and implementation of business plans; using the Open Door Policy; and demonstrating and assisting others with how to apply these in executing business processes and practices.
What you'll do...
About Team
Imagine working in an environment where one line of code can make life easier for hundreds of millions of people and put a smile on their face. That’s what we do at Walmart Global Tech. We’re a team of 15,000+ software engineers, data scientists and service professionals within Walmart, the world’s largest retailer, delivering innovations that improve how our customers shop and empower our 2.3 million associates. To others, innovation looks like an app, service or some code, but Walmart has always been about people. People are why we innovate, and people power our innovations. Being human-led is our true disruption.
Walmart continues to be a leader in sustainability, corporate philanthropy and employment opportunity. It's all part of our unwavering commitment to creating opportunities and bringing value to customers and communities around the world.
Team and Position Summary:
US OPT Data and Customer Analytics
This is the team building the data foundation infrastructure, core platform and services that drive Walmart US business. The objective of the customer analytics organization is to build the best in class engineering, analytics and data science solutions that power the best shopper experience for our customers, adhering to the Walmart philosophy - Everyday Low Cost. In addition to ushering in affordability, we also create personalized experiences for customers the omnichannel way, across all channels - in-store, on the mobile app and websites. The data scientist will play a prominent technical role in architecting data science solutions working with business stakeholders and deliver outstanding business outcomes for problems across Walmart.
- You will work directly on the AI problems that have the most impact on Walmart's entire supply chain, forecasting and merchandising.
- We love open source! Many of our team members contribute to open source communities and get to do it during work time. We try to contribute back to our communities where we can and are grateful to be able to open source some of our own projects!
- We value diversity. We believe that diversity and inclusion is of core importance when try to create positive in-store experiences for our guests, and we think it is also critically important when building our teams. Read more about our commitment to diversity and inclusion
- We value our team members for who they are, not just what they can get done. We treat out team members like people, not like cogs in a machine. We are parents, hobbyists, enthusiasts, family members, and community members, and can offer flexibility to our team members' schedules and work arrangements so that they can flourish both inside and outside of work.
- You have a deep interest and passion for technology. You love writing and owning codes and enjoy working with people who will keep challenging you at every stage. You have strong problem solving, analytic, decision-making and excellent communication with interpersonal skills. You are self-driven and motivated with the desire to work in a fast-paced, results-driven agile environment with varied responsibilities.
What You Will Do
- We are looking for Full-Stack Data Scientists to join us in building world class solutions at Walmart scale. You will play a key role in developing, automating, scaling, and implementing solutions that tackle diverse business problems.
- There are ample opportunities to enrich your knowledge and skillset that will accelerate your ML Engineering career.
- The senior machine learning engineer will play a lead technical role in architecting scalable end-to-end data science solutions that are closely tied to business outcomes for our various data science products.
- This is a role that combines machine learning leadership, organizational ability, technical strength, product focus and business understanding.
- Our team works closely with Data Scientists, App Developers and Product teams to architect the ML system, deploy ML models as real-time inferencing web services and/or batch inference jobs, scale the services to meet production needs, monitor the service health and predictive performance, and re-train the models as needed.
- A Senior Machine Learning Engineer is responsible for building scalable end-to-end data science solutions for our data products.
- Work closely with data engineers and data analysts to help build ML- and statistics-driven data quality and continuous data monitoring workflows
- Solve business problems by scaling advanced Machine Learning algorithms and complex statistical models on large volumes of data
- Own the MLOps lifecycle, from data monitoring to refactoring data science code to building robust model monitoring workflows for model lifecycle management
- Demonstrate strong thought-leadership and consult with product and business stakeholders to build, scale and deploy holistic machine learning solutions after successful prototyping.
- Guide team members in achieving MLOps-driven data science outcomes and handle multiple products and initiatives.
- Follow industry best practices, stay up to date with and extend the state of the art in machine learning research and practice, drive innovation by contributing towards publications and patents.
- Participate in internal technical councils and represent the organization in forums that involve community of machine learning engineers across industry and academia.
- Promote and support company policies, procedures, mission, values, and standards of ethics and integrity.
What You will Bring
- Knowledge of the foundations of machine learning and statistics and has made core contributions to the area in practice.
- Expertise in web service standards and related patterns (REST, gRPC)
- Expertise in architecting solutions with Continuous Integration and Continuous Delivery in mind
- Expertise in distributed in-memory computing technologies
- Solid experience working with state-of-the-art supervised and unsupervised machine learning algorithms on real-world problems
- Strong Python coding skills and able to work with at least one other programming language such as Java/Scala.
- Experience with Big Data and analytics in general leveraging technologies like Hadoop, Spark, and MapReduce; Ability to work in a big data ecosystem - expert in SQL/Hive and ability to work with Spark.
- Strong ability on refactoring data science code and has mentored data scientists in developing ML solutions.
- Experience playing the role of full-stack data scientist and taking solutions to production.
- Experience developing proper metrics instrumentation in software components, to help facilitate real-time and remote troubleshooting/performance monitoring.
- Educational qualifications should be preferably in Computer Science, Statistics, Engineering or a related area.
- Strong interpersonal and leadership skills with effective communication (both written and verbal) skills and the ability to present complex ideas in a clear & concise way, to different audiences. A team player with good work ethics. Years Of Experience: 6 to 10 Years
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- Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 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 1 years' experience in an analytics related field. Option 3 - 5 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...
4,5,6, 7 Floor, Building 10, Sez, Cessna Business Park, Kadubeesanahalli Village, Varthur Hobli , India R-2028129
