(USA) Senior, Data Scientist

4 weeks ago

Newark, United States Walmart Full time
Position Summary...

What you'll do...

At Walmart Global Tech, our search algorithm team is on a mission to assist millions of customers in finding the perfect products every day. As a member of this team, you'll tackle fascinating and impactful challenges in machine learning, information retrieval, NLP, and computer vision. By developing cutting-edge algorithms, you'll empower customers to effortlessly express their preferences across various devices and modalities (voice, text, image, etc.). Your work will involve creating machine-learned models to engage with customers, understand their goals, and help them make informed purchase decisions. With your contributions, your work will directly impact the goals of the Fortune #1 enterprise, reaching millions of customers. If you're passionate about machine learning and want to make a difference, we'd love to have you join our team and embark on an exciting journey.

About Team:
Our team works closely with our US stores and eCommerce business to better serve customers by empowering team members, stores, and merchants with technological innovation. From groceries and entertainment to sporting goods and crafts, Walmart U.S. offers an extensive selection that our customers value, whether they shop online at Walmart.com, through one of our mobile apps, or in-store. Focus areas include customers, stores and employees, in-store service, merchant tools, merchant data science, and search and personalization.

What you'll do:
  • Strong educational background: A PhD in computer science or a related field, along with at least 3 years of experience, provides the necessary expertise for success in this role.
  • Proficiency in programming: Highly proficient in Python or Java, enabling efficient development and implementation of machine learning projects.
  • Hands-on experience with large datasets: Extensive experience in building machine learning projects with terabytes of data, demonstrating the ability to handle and process complex data sets effectively.
  • Leadership skills: Experience working as a tech lead, showcasing the ability to guide and mentor a team, manage projects, and ensure successful outcomes.
  • Community involvement: Active participation in the community through blog posts, papers, or conference talks, highlighting a commitment to knowledge sharing and staying at the forefront of advancements in the field.


What you'll bring:

1. Thought leadership: Act as a thought leader to identify and understand the right problems to solve for customers, ensuring that the solutions developed align with their needs and expectations.

2. Machine learning implementation: Design and implement state-of-the-art machine learning approaches, utilizing your expertise in Python or Java to develop innovative and effective solutions.

3. Tech lead and roadmap development: Take on the role of a tech lead, guiding and mentoring co-workers, and defining the roadmap for yourself and the team. This involves setting goals, prioritizing tasks, and ensuring the successful execution of projects.

4. End-to-end ownership: Develop end-to-end ownership of major customer-facing technologies, taking responsibility for their design, development, and deployment. This includes monitoring their performance, addressing issues promptly, and continuously improving the technology for optimal customer satisfaction.

5. Specialization in NLP, search ranking, or computer vision: Become an expert in one of these specific areas - natural language processing (NLP), search ranking, or computer vision - by staying updated with the latest advancements, conducting research, and implementing cutting-edge techniques to solve related problems.

About Walmart Global Tech
Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That's what we do at Walmart Global Tech. We're a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world's leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. 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:
Benefits: Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, 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.

Minimum Qualifications...

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

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, Using open source frameworks (for example, scikit learn, tensorflow, torch)

Primary Location...
221 RIVER ST, HOBOKEN, NJ 07030, United States of America

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