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Senior Manager II, Data Science

Company: Wal-Mart
Location: Sunnyvale
Posted on: June 7, 2021

Job Description:

Position Summary...

What you'll do...

The personalization team at Walmart is dedicated to the mission of knowing our customers better and making it frictionless and faster for them to get what they want while building a trusted partner to Walmart. We help bring a seamless experience to our customers irrespective of how and where they engage with us - while shopping online or picking groceries at stores. We thrive to provide each customer with a journey tailored to their individual needs, preferences and routines. We operate at the intersection of huge Walmart assortment, millions of customers, thousands of stores and Walmart associates - a multi-layer multi-objective problem space which has a unique impact on Global customer base and powers assisted AI for our associates.

The Personalization team consists of big data geeks, application engineers, scientists and product visionaries all working together to design, prototype and build technology-driven products and experiences that will change the future landscape of e-commerce. We are focused on building an intelligent system that will enable 1:1 personalized customer experience, from finding the product to delivering it to the customer. We are building state-of-the-art probabilistic models and engineering marvels to serve our customer needs by leveraging cutting edge machine learning, deep learning, reinforcement learning, natural language processing, entity-relationship extraction and knowledge representation. This will span many markets, business models and form factors; therefore, we are looking for scientists and engineers who will bring not only an abundance of experiences in technologies, but an abundant curiosity to innovate.

You'll make an impact by:

  • Research and develop novel data-driven capabilities to power Personalization experiences across site, app, stores, voice commerce.
  • Work closely with business and product stakeholders to define strategy, vision and roadmap for top initiatives in Personalization and Recommendations.
  • Lead a team of talented data scientists, machine learning engineers and analysts to design, implement, test and launch omni-channel personalized experiences.
  • Actively contribute to research community through participation at conferences, seminars, workshops, university relations.
  • Collaborate with team leads to deliver end-to-end scalable architecture for cross-functional projects.
  • Lead and innovate in building state-of-the-art algorithms and machine learning systems to ingest, analyze and serve terabytes of customer data from various Walmart channels.
  • Lead, mentor and grow team members while working in an agile environment.
  • Actively propose, review and present technical solutions including architecture design, implementation details and customer and business impacting KPIs.

You'll sweep us off our feet if:

  • You're experienced with traditional, as well as modern machine learning/statistical techniques, including Regression, Classification, Ensemble Methods, Deep Learning and Reinforcement Learning.
  • You have strong development experience with at least one programming language (Python or Java preferred).
  • You have strong hands-on skills in sourcing, cleaning, manipulating, and analyzing large volumes of data using distributed computing platform.
  • You have 2+ years of experience mentoring junior data scientists or machine learning teams.
  • You have strong written and oral communication skills.
  • You have a Ph.D. with 3+ years of experience or a Masters Degree with 5+ years of experience in a computational science discipline with an emphasis on Machine Learning or Data Mining.
  • You have experience working on ranking, online advertising, recommender systems, ecommerce or relevant areas.
  • You're experienced with end-to-end modeling projects emerging from research efforts.
  • You have an excellent industrial or academic track record of proposing, conducting, and reporting results of original research, plus collaborative research with publications.

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 2.2 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're virtual

Working virtually this year has helped us make quicker decisions, remove location barriers across our global team, be more flexible in our personal lives and spend less time commuting. Today, we are reimagining the tech workplace of the future by making a permanent transition to virtual work for most of our team. Of course, being together in person is an important part of our culture and shared success. We'll collaborate in person at a regular cadence and with purpose.

Minimum Qualifications...

Outlined below are the required minimum qualifications for this position.

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.

Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch)

Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no 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.

Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch)

Primary Location...

680 WEST CALIFORNIA AVENUE, SUNNYVALE, CA 94086-4834, United States of America

About Walmart

At Walmart, we help people save money so they can live better. This mission serves as the foundation for every decision we make, from responsible sourcing to sustainability-and everything in between. As a Walmart associate, you will play an integral role in shaping the future of retail, tech, merchandising, finance and hundreds of other industries-all while affecting the lives of millions of customers all over the world. Here, your work makes an impact every day. What are you waiting for?

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.

Hello, Silicon Valley

You don't have to choose between your career and your lifestyle in Silicon Valley. Here, you can have both.

Discover Silicon Valley

  • Beauty

Filoli Gardens, Woodside

View an art exhibit, take a nature hike, explore the historic Filoli House, or take a class at this gorgeous 654-acre property.

  • Art

SFMOMA

Get your art fix at this internationally recognized collection of over 30,000 works of modern and contemporary art.

  • Education

Computer History Museum

Large-scale exhibits, an acclaimed speaker series, docent-led tours and an award-winning education program bring computer history to life.

  • Purpose

The Dish

Hike or jog throughout the year on terrain dedicated to academic programs, environmental restoration and habitat conservation.

  • Explore

Golden Gate Park, SF

Events, attractions, meadows, lakes, and a Japanese Tea Garden provide for a true escape, without leaving the city.

  • Imagine

The Tech Museum

This family-friendly interactive science and technology center in San Jose provides a glimpse into the most inventive place on Earth - Silicon Valley.

  • Shop

Santana Row - San Jose

Stylish boutiques, world-class shopping, and delectable cuisine = a San Jose shopping trifecta.

  • Disconnect

Pacifica State Beach

Learn to surf or visit the "World's Most Scenic Taco Bell" at this 0.75 mile long crescent shaped escape, a symbol of successful habitat restoration.

  • Reflect

Golden Gate Cemetery

This national cemetery comprises 161 acres dedicated to all the members of the armed forces who served our country.

All the benefits you need for you and your family

  • Multiple health plan options, including vision & dental plans for you & dependents
  • Financial benefits including 401(k), stock purchase plans, life insurance and more
  • Associate discounts in-store and online
  • Education assistance for Associate and dependents
  • Parental Leave
  • Pay during military service
  • Paid Time off - to include vacation, sick, parental
  • Short-term and long-term disability for when you can't work because of injury, illness, or childbirth

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific plan or program terms. For information about benefits and eligibility, see One.Walmart.com/Benefits.

Frequently asked questions

  • On average, how long does it take to fill out an application?

On average, it takes 45-60 minutes to complete your application for the first time. Subsequent applications will take less time to apply as our system saves some of your application information. Please note that some positions require the completion of assessments in order to receive consideration for that role. Those would take additional time.

  • Can I change my application after submitting?

No, you cannot change your application after submitting, so please make sure that everything is finalized before you hit the submit button.

  • How do you protect my personal information?

Processing of information on paper is minimal, and Walmart processes application information using an applicant tracking system (ATS). Access to the data within the ATS is restricted to authorized personnel, and the system itself is held to high security standards by Walmart.

  • What are the recommended Internet Browsers for applying for open roles?
  • Internet Explorer 8.0+
  • Firefox 4.0+
  • Safari 4.0+
  • Chrome 12+

See All FAQs

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Keywords: Wal-Mart, Sunnyvale , Senior Manager II, Data Science, Other , Sunnyvale, California

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