Unlock Your Potential as a Staff Data Scientist at Walmart Global Tech
Imagine being part of a team that harnesses the power of data science and machine learning to revolutionize the retail industry. At Walmart Global Tech, we're not just building the future of retail; we're shaping the way millions of people around the world shop, live, and interact with technology. As a Staff Data Scientist focused on MLOps and AI-powered ad solutions, you'll be at the forefront of this innovation, driving impactful member interactions and pioneering advancements in ad technology.
About the Role
Walmart International, comprising over 5,200 retail units across 23 countries, is seeking a highly skilled Staff Data Scientist to spearhead the development of backend ML models that power AI-driven ad solutions. This role is not just about developing cutting-edge technology; it's about collaborating with product and engineering leaders to create more personalized and effective member experiences. You'll oversee the entire project lifecycle, from data analysis and model development to prototyping and implementation, ensuring seamless communication with all stakeholders.
Key Responsibilities
- Spearhead the development of sophisticated backend ML models that drive AI-powered ad solutions, enhancing member interactions and personalization.
- Collaborate with cross-functional teams, including product and engineering leaders, to pioneer innovations in ad technology through deep insights, analytics, and ML prototypes.
- Oversee the project lifecycle, ensuring smooth data analysis, model development, prototyping, and implementation, while maintaining effective communication with stakeholders.
- Establish and lead the implementation of an MLOps framework to facilitate the ongoing enhancement, testing, and deployment of algorithms, optimizing ad personalization and effectiveness.
- Utilize advanced skills in developing and deploying large-scale ML models, focusing on ad targeting, relevance, and optimization.
- Leverage public cloud platforms (Azure, AWS, Google Cloud) to deploy scalable ML solutions efficiently.
- Apply proficiency in programming languages (Python, Java, Scala) and ML frameworks (TensorFlow, PyTorch, Scikit-Learn), underpinned by a solid grasp of MLOps practices.
Essential Qualifications
To excel in this role, you'll need:
- Advanced skills in the development and deployment of large-scale ML models, with a focus on ad targeting, relevance, and optimization.
- Experience with public cloud platforms (Azure, AWS, Google Cloud) for deploying scalable ML solutions.
- Proficiency in programming languages (Python, Java, Scala) and ML frameworks (TensorFlow, PyTorch, Scikit-Learn), along with a solid understanding of MLOps practices.
- Agile project management capabilities, with adept use of tools like JIRA.
- A driven problem-solver with a passion for impacting the retail sector at scale.
- 8+ years of experience in a similar domain or tech stack.
- Background in digital advertising, marketing personalization, recommendation algorithms, or similar fields.
You can qualify for this role through:
- Option 1: Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field, and 4 years of experience in an analytics-related field.
- Option 2: Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field, and 2 years of experience in an analytics-related field.
- Option 3: 6 years of experience in an analytics or related field.
Preferred Qualifications
While not mandatory, the following qualifications can significantly enhance your candidacy:
- Data science, machine learning, and optimization models expertise.
- PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, or Econometrics.
- Successful completion of assessments in Python, Spark, Scala, or R.
- Experience with open-source frameworks like scikit-learn, TensorFlow, and PyTorch.
- Knowledge of accessibility best practices and experience with implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards.
Career Growth and Learning Benefits
At Walmart Global Tech, we're committed to the growth and development of our team members. As a Staff Data Scientist, you'll have access to:
- Opportunities to work on cutting-edge projects that impact millions of people worldwide.
- Professional development programs and training in the latest technologies and methodologies.
- A collaborative and dynamic work environment that encourages innovation and creativity.
- Career advancement opportunities in a rapidly evolving industry.
Work Environment and Culture
We pride ourselves on a culture that is people-led and tech-empowered. Our work environment is designed to foster collaboration, innovation, and flexibility. As a remote role, you'll enjoy the freedom and flexibility to work from anywhere, while still being part of a vibrant and connected team.
Compensation, Perks, and Benefits
We offer a comprehensive compensation package that includes:
- A competitive salary ranging from $110,000 to $220,000 annually.
- Annual or quarterly performance bonuses.
- Stock purchase plans.
- 401(k) match.
- Paid maternity and parental leave.
- PTO and various health plans.
- Short-term and long-term disability benefits.
- Company discounts and much more.
Additionally, our Live Better U program offers Walmart-paid education benefits for full-time and part-time associates, covering tuition, books, and fees for high school completion to bachelor's degrees, including English Language Learning and short-form certificates.
Join Our Team
If you're a motivated and experienced data scientist looking to make a significant impact in the retail industry, we want to hear from you. Apply now to become a part of Walmart Global Tech and help us shape the future of retail.
At Walmart, we're not just a company; we're a community that values diversity, inclusion, and the unique perspectives of our associates. We believe in creating a workplace where everyone can thrive and contribute to our mission of helping people live better.
Ready to propel your career forward? Apply now for this exciting opportunity to join our team as a Staff Data Scientist and be at the forefront of innovation in retail technology.
Apply Now