Unlock Your Career Potential with Walmart's Innovative Tech Team
At Walmart Worldwide Tech, we're revolutionizing the retail industry through cutting-edge technology and innovative solutions. As a Staff Information Researcher, you'll play a crucial role in driving business success by leveraging your expertise in AI, Machine Learning, and Data Science. Join our dynamic team and be part of a company that's shaping the future of retail.
About the Role
We're seeking a highly skilled Staff Information Researcher to lead Information Science projects and drive exceptional business results. As a key member of our team, you'll work closely with stakeholders to develop "smart" features and deliver impactful insights using AI, Deep Learning, NLP, and CV. Our Information Adventures team is building a state-of-the-art suite of Information Items to provide actionable, customer-driven insights and help vendors and suppliers make informed business decisions on Omni-channel 360 execution.
Key Responsibilities
- Collaborate with stakeholders to identify ML/Deep Learning opportunities for solutions and develop project requirements.
- Design and build solutions that can be seamlessly integrated into external frameworks or existing applications.
- Select and apply suitable ML modeling techniques for complex problems with large-scale data.
- Develop and iterate on features collaboratively with colleagues, leading model development and guiding team members through building, testing, and deploying ML models at scale.
- Establish best practices for model deployment, monitoring, and interpretability, ensuring production-ready ML solutions with low latency inference times and risk evaluation.
Essential Qualifications
- Proficiency in Statistics, AI, Machine Learning, NLP, and Computer Vision (optional).
- Proven industry experience in tackling Retail and Customer Science problems.
- Skilled in Python/R, PyTorch, TensorFlow, SQL, Big Data, and cloud technologies.
- Experience leading and coaching data science teams, with effective technical communication to non-technical stakeholders.
- Knowledge of Deployment and Scaling best practices.
Preferred Qualifications
- Data Science, Machine Learning, optimization models, PhD in AI, Computer Science, Data Technology, Operations Research, Statistics, Applied Mathematics, Econometrics.
- Successful completion of at least one certification in Python, Flash, Scala, or R.
- Utilizing open-source frameworks (e.g., scikit-learn, TensorFlow, Light).
What We Offer
At Walmart Worldwide Tech, we're committed to providing a comprehensive benefits package and a supportive work environment that fosters growth and innovation.
Compensation and Benefits
- Competitive salary ($30/hour) and performance-based incentives.
- 401(k) retirement plan with company match.
- Stock purchase plan for employees.
- Paid maternity and parental leave.
- PTO, multiple health plans, and more.
Career Growth and Development
- Training and advancement programs.
- Opportunities for progression within the organization.
- Parental Leave: Maternity and paternity leave for eligible employees.
Work Environment and Culture
We utilize a hybrid approach to working, combining in-office collaboration with virtual flexibility. Our campuses serve as a hub to enhance cooperation, unite us for purpose, and follow through on business needs. This approach enables us to make faster decisions, eliminate location barriers across our global team, and be more flexible in our personal lives.
Why Join Us?
At Walmart Worldwide Tech, you'll have the opportunity to launch an extraordinary career in tech, gain new skills, and experience working on projects that impact millions. We're an Equal Opportunity Employer, committed to diversity, equity, and inclusion. Our team is passionate about innovation, and we're looking for talented individuals like you to join our journey.
Simple Application Process
Ready to join us? The first step is easy. Click apply now, and we'll be in touch soon!
Don't miss this opportunity to be part of a company that's redefining the retail industry. Apply now and take the first step towards a rewarding career with Walmart Worldwide Tech!
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