About Team:
Our Search data science team is building a world class search system for Walmart e-comm customers. We use cutting edge machine learning, data mining and optimization algorithms to ingest, model, and analyze Walmart’s proprietary online and in-store data, encompassing 95% of American households. Importantly, we build smart data systems that deliver relevant search results and experiences that connect our customers with the brands and products they love.
What you'll do:
As a Senior Data scientist, you’ll have the opportunity to
* Lead the development and implementation of advanced analytics and machine learning models to drive business growth, improve operational efficiency, and enhance customer experience.
* Collaborate with cross-functional teams to identify business needs and develop data-driven solutions that deliver insights and drive actionable results.
* Design and conduct experiments to test hypotheses, analyze results, and communicate findings to stakeholders. * Develop and maintain complex data models and algorithms to solve business problems and improve decision-making processes.
* Work with large datasets to identify patterns, trends, and correlations, and communicate insights to stakeholders.
* Develop and implement data visualization tools to communicate insights and findings to stakeholders. * Stay up to date with emerging trends and technologies in data science and machine learning, and apply this knowledge to improve Walmart's analytics capabilities.
* Collaborate with data engineers and data analysts to ensure seamless data flow and analysis. * Develop and maintain data governance policies and standards to ensure data quality and compliance with regulatory requirements.
* Mentor and guide junior data scientists and analysts to develop their skills and knowledge.
*Exposure to GenAI and computer vision related problem statements
What you'll bring:
Qualifications:
* Master's or Ph.D. degree in Computer Science, Statistics, Mathematics, or a related field.
* At least 5 years of experience in a data science or analytics role, preferably in a retail or e-commerce environment.
* Strong experience in machine learning and advanced analytics techniques, including regression, classification, clustering, and decision trees.
* Proficient in programming languages such as Python, R, or SQL, and familiarity with data visualization tools such as Tableau or Power BI.
* Experience with cloud-based data platforms such as AWS or Azure. * Strong understanding of statistical modeling and experimental design.
* Excellent communication and collaboration skills, with the ability to explain complex technical concepts to non-technical stakeholders.
* Strong problem-solving skills and ability to work independently and in a team environment.
* Familiarity with data architecture and analytics tools, including SQL, Python, and Tableau.
* Ability to work in a fast-paced, dynamic environment with changing priorities and deadlines.
* Past experience in application of computer vision and related algorithms.
* Strong commitment to diversity, equity, and inclusion, with a focus on creating a workplace culture that is welcoming and inclusive to all.
About Global Tech.
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. 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 that is primarily in office coupled with virtual when not onsite. Our campuses serve as a hub to enhance collaboration, bring us together for purpose and deliver on business needs. This approach helps us make quicker decisions, remove location barriers across our global team and 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.
The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.
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.Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
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