Position Summary:
What you'll do:
- Work with business stakeholders and product manager to convert qualitative requirements to quantitative requirements and design end-to-end ML solutions that are scalable and robust.
- Have experience in experimental design and understand general testing frameworks in E-commerce and marketing space.
- Based on business requirements, propose technical solutions and ML architecture.
- Identify data sources that are optimal for the project needs.
- Design and implement data strategies for both short-term and long-term plans.
- Deploy and scale ML models for personalization and recommendation projects.
- Develop efficient and reusable code components.
- Develop and validate ML models that improve business objectives.
What You'll Bring:
- Acute business intuition in personalization and recommendation space.
- Strong and efficient data engineering capability leveraging SQL and PySpark.
- Equipped with experimental design knowledge such as AB testing.
- Experience with both supervised and unsupervised learning modeling techniques.
- Experience with ML Ops concepts and implementation.
- Experience with model deployment and model monitoring frameworks.
- Strong communication skills with both engineering and business partners on topics such as data science achievements and challenges.
Minimum Qualifications:
- Master's Degree in statistics/mathematics, engineering, computer science, economics, or related field and 2-3 years of industrial working experience in data and modeling related positions OR PhD Degree in a quantitative related field.
- Proficient coding skills; 4+ years of professional experience with SQL and Python.
- Deep knowledge of relational database capabilities.
- Experience with cloud computing services like GCP, AWS, or Azure.
- Experience in integrating, structuring, and analyzing large amounts of data from diverse sources.
- Experience with supervised and unsupervised predictive modeling algorithms.
- Strong project management skills and attention-to-detail documentation skills.
- Strong written & verbal communication skills with the ability to communicate complex technical topics clearly to a range of audiences and to 'tell a story' that provides insight into the business.
- A passion for working in a fast-paced agile environment.
- A collaborative mindset and sense of curiosity.
About Walmart:
Sam Walton opened the first Sam's Club in 1983 to meet a growing need among customers who wanted to buy merchandise in bulk. Since then, Sam's Club has grown rapidly, opening more than 600 clubs in the U.S. and 100 clubs internationally. By offering affordable, wholesale merchandise to members, Sam's Club helps make saving simple for families and small business owners.
Future Ways Of Working:
Our company's success can be attributed to our employees. While technology has allowed us to be effective while working remotely, there is no substitute for being in the office together; it helps to shape our culture, collaborate, innovate, build relationships, and move more quickly. We strive to provide flexibility in order to promote a healthy work-life balance but recognize that in-person interactions are important to our culture and shared success.
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:
Sam's Club 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, abilities, 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.
Salary: The annual salary range for this position is $90,000.00-$180,000.00. Additional compensation includes annual or quarterly performance bonuses.
Preferred Qualifications:
- Data science, machine learning, optimization models, Master's degree 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).
- Knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly.
Primary Location: 603 Munger Ave Ste 400, Dallas, TX 75202, United States of America.
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