Data Scientist

Data Scientist

  • Location HOBOKEN, NJ
  • Department Operations
  • Team Operations
  • Employment Type -
  • Position -
  • Requisition GH1752256

What you'll do at

As one of our Data Scientists, you will consult with the business to help them envision the future and prioritize where to invest in their businesses based on customer needs and pain points. You will be a thought partner and trusted advisor to the business and marketing leadership as well as develop key strategic partnerships, ensuring that the customer is always at the center of strategic discussions. Your role will require not only customer advocacy but also deep industry expertise as well as a strong appreciation for Walmart’s business strategies and processes.

You will develop and deploy machine learned models, to engage and converse with our customers and to understand their goals and expectations to enable them to make the right purchase decision. Your work will be visible to millions of customers and you will have a direct impact on the goals of the Fortune #1 enterprise. If you speak and think machine learning then we want to talk to you. Come join our team and be part of this exciting journey!

Responsibilities:

  • Leads and participates in large data analytics project teams by serving as a technical point of contact for analytics projects; working with project teams and business partners to determine project goals; developing contingency plans for data analysis; determining modeling based on business needs; directing the analysis of data; gathering data and developing reports as needed; utilizing business knowledge to ensure data supports project goals; analyzing data based on identified variables; reviewing data results to ensure accuracy; and communicating results and insights to the project team and business partners.

  • Presents data insights and recommendations to key stakeholders by developing insights based on data analysis; applying analytical results to project goals; identifying trends and key insights; translating results into business actions; and presenting insights and recommendations to key stakeholders.

  • Participates in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; building and maintaining a library of reusable algorithms for future use; ensuring developed code is documented; and coaching and mentoring analysts across the division and project teams.

  • Develops analytical models to drive analytics insights by gathering data from internal and external sources; evaluating data usability based on project goals; synthesizing data into large datasets to support project goals; developing statistical models and computational algorithms to analyze data; utilizing the analytics project lifecycle process to drive predictive modeling; coding, testing, and maintaining analytical software tools; identifying trends, patterns and discrepancies in data; training statistical models for replication for future projects; and presenting data insights and recommendations to key stakeholders.

  • 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.

Travel

  • Travels domestically to and from multiple facilities or work-sites during the workday.

Requirements

  • Bachelor or Masters in computer science, statistics, mathematics and/or economics with 1-2 years of relevant experience.

  • Experience with Excel, SQL, Tableau
  • Experience with statistical programming languages (R, Python)

About Walmart eCommerce

Walmart U.S. eCommerce is comprised of Walmart.com, Jet.com, Hayneedle, Shoes.com, Moosejaw, VUDU, ModCloth & Bonobos. Here, innovators incubate next gen e-commerce solutions in real-time. We integrate online, physical, and mobile shopping experiences for billions of customers around the globe. How do we do it? We continuously build and invest in new technology including open source tools and big data innovations. The world's largest retailer is also the world's largest, fastest-growing, and most dynamic ecommerce organization. We are creating a seamless experience that lets customers shop anytime and anywhere using online, mobile, social and stores. Walmart’s mission is to become the smartest way to shop and save on pretty much anything. Combining a revolutionary pricing engine, a world-class technology and fulfillment platform, and incredible customer service, we’ve set out to create a new kind of e-commerce.

 

 

About Walmart.com

The Walmart US eCommerce team is rapidly innovating to evolve and define the future state of shopping. As the world’s largest retailer, we are on a mission to help people save money and live better. With the help of some of the brightest minds in merchandising, marketing, supply chain, talent and more, we are reimaging the intersection of digital and physical shopping to help achieve that mission.

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