What you'll do...
The Senior Distinguished 1, Data Scientist will play a pivotal role in shaping the future of our Intelligent Store operations by leading a team of data scientists dedicated to employing advanced analytics and data-driven solutions. This leadership role requires an individual with a strong background in data science, retail operations, machine learning, predictive modeling, and statistical analysis.
About Team :
The Intelligent Store team is a dynamic and innovative group of technology professionals who are passionate about driving the intelligence and automation of Walmart's stores. As a critical part of Walmart's digital transformation, this team is responsible for developing and maintaining software applications that enable seamless shopping experiences, optimize inventory management, and enhance store operations.
Ideal Candidate :
The Senior Distinguished 1, Data Scientist is a visionary leader who will drive the development and application of data science and analytics capabilities to drive business outcomes for Walmart's stores. This hands-on leader will be responsible for developing and implementing strategies that leverage data to optimize store operations, improve the shopping experience, and drive sales growth. You will lead a team of data scientists and analysts and collaborate with cross-functional partners to identify and prioritize data-driven initiatives that deliver business impact.
What you'll do :
- Drive the strategic vision and execution for the data science team, promoting a culture of data-driven decision making.
- Independently analyze data to drive strategic direction for the business, including technical approach, investment and focus.
- Articulate complex data insights to stakeholders and senior management in a clear and concise manner.
- Accelerate the AI/ML lifecycle by optimizing the cost and velocity of training data for system improvements.
- Uphold the integrity and quality of all data analysis, modeling, and interpretation.
- Formulate and implement effective data governance and data management protocols, ensuring compliance across the organization.
- Maintain a current understanding of industry trends and advancements in data science and retail technology.
What you'll bring :
- PHD degree in Data Science, Computer Science, Statistics, or a similar field.
- 15+ years of combined experience in data science, including substantial experience in both IC & leadership roles.
- Track record of solving complicated business problems using data, not just deeply technical solutions.
- Profound knowledge of machine learning, predictive modeling, and statistical analysis techniques.
- Proficiency in data analysis tools and programming languages such as Python, R, SQL , etc. Python preferred.
- Demonstrated leadership skills and the ability to manage a high-performing team.
- Excellent communication skills with the ability to present complex data in a simple, understandable manner tailored to the stakeholder of interest.
- Proven ability to manage multiple projects in a dynamic, fast-paced environment.
- Exceptional problem-solving abilities and strategic thinking skills.
- Prior experience in the retail sector is preferred.
Minimum Qualifications...
Outlined below are the required minimum qualifications for this position:
- Option 1: Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 7 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 5 years' experience in an analytics related field.
- Option 3: 9 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, Publications or active peer reviewer in related journals or conference.
- 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...
840 W California Ave, Sunnyvale, CA 94086-4828, United States of America
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