at Walmart
Full TimeAbout Team:
Our Search datascience 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 will do:
As a Data scientist, Search for Walmart Global Tech, you’ll have the opportunity to
Apply and/or develop ML solutions to develop efficient and scalable models at Walmart scale.
Play a key role to solve complex problems, pivotal to Walmart’s business and drive actionable insights from terabytes of data.
Leverage data science tools and techniques, keeping abreast with the latest in the community to solve problems for Walmart.
Collaborate with counterparts in business, engineering, and science to find impactful solutions to business problems.
Present recommendations from complex analysis to business partners in clear and actionable form, influencing the future.
Develop PoC, present lucidly to the business and evolve the solutions.
Take forward the solutions into Pipelines/APIs as needed by the business.
Research, learn/disseminate & adapt new technologies to solve problems & improve upon existing solutions.
Adopt Wal-Mart’s quality standards and develop and recommend process standards and best practices across the retail industry.
Stay up to date with and extending the state-of-the-art in Machine Learning research.
Integrate data science solutions into current business processes.
Develop and recommend process standards and best practices in Machine Learning as applicable to the retail industry.
Promote and support company policies, procedures, mission, values, and standards of ethics and integrity.
What you will bring:
Bachelor's with > 5 years of relevant experience OR Masters with > 3 years of relevant experience in Computer Science/Mathematics/Statistics or any other relevant field.
Experience in analysing complex problems and translating them to data science algorithms with due attention to computational efficiency and testing at scale.
Expertise in machine learning, supervised and unsupervised: Time Series Forecasting, latest technique in NLP Deep Learning Algorithms and Reinforcement Learning
Experience in statistical learning: Predictive & Prescriptive Analytics, Web Analytics, Parametric and Non-parametric models, Regression, Time Series, Dynamic / Causal Model, Statistical Learning, Guided Decisions, Topic Modelling
Experience working with big data - identifying trends, patterns, and outliers in large volumes of data.
Worked with at least one mainstream machine learning framework such as caffe, convNet, Tensor Flow and Torch
Experience with SQL, relational databases and data warehouse
Experience with big data platforms - Hadoop(Hive, Pig, Map Reduce, HQL) / Spark / H20
Domain Knowledge : Search, Recommendation Engine
Experience with multiple stakeholder management, data based story-telling, mentoring peers and juniors, multiple project handling at the same time.
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: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics or related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field. Option 3: 4 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.
