Staff, Data Scientist
at Walmart Tech
Location
Bentonville, AR
Compensation
$110k–$220k USD
Type
full time
Posted
2 days ago
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Job description
Position Summary...
About Decision SciencesThe Decision Sciences team provides comprehensive analytical solutions, empowering our business customers to make data-driven decisions in areas such as Supply Chain, Store Operation, Last Mile Delivery, and Innovation & Transformation. We offer measurable value to all stakeholders by delivering accurate and actionable insights that stimulate growth, enhance efficiency, and guide strategic planning. We are dedicated to staying at the cutting edge of data & technology, constantly offering innovative solutions that enhance the experience for both associates and customers.
What you'll do...
Staff Data Scientist – Decision Sciences
We are looking for a Staff Data Scientist to join Decision Sciences team. As a Staff Data Scientist, you will be responsible for modeling complex business problems and discovering insights through machine learning, statistical modeling, simulation, and optimization that empower our customers across Walmart to make data-driven decisions. You will drive data science partnership across US, Costa Rica, and India locations. You will be tasked to set goals, create a strategy, and closely collaborate with Data Analytics, Data Engineering, Data Governance teams and business stakeholders to deliver best-in-class analytical tools and solutions.
What You’ll Do
- Identifying opportunities and business problems and framing them into advanced optimization models (e.g. linear programming, mixed-integer programming).
- Performing in-depth data exploration and analysis to uncover insights, trends and patterns that inform optimization strategies.
- Developing and refine algorithms for process improvements, resource allocation and cost optimization.
- Ensuring optimization and simulation models are scalable and robust for production deployment.
- Developing dashboards and visualizations to communicate model performance and recommendations to stakeholders.
- Staying current on industry best practices, emerging technologies, and new methodologies in optimization and simulation.
- Collaboration: Working closely with data scientists, data engineers, software engineers, product, and business stakeholders to understand requirements and translate them into technical solutions.
- Communication: Engaging in effective communication with business stakeholders regarding model insights and the strategic importance of advanced analytics.
- Mentorship: Guiding and mentoring junior associates on story types, structures, and techniques based on context.
What We’re Looking For
- 5+ years of experience in utilizing advanced analytics to solve business problems.
- Demonstrated expertise in developing advanced data science models and leading data-driven projects from conception to implementation, driving and influencing project roadmaps.
- Expertise in mathematical modeling, linear programming, mixed-integer programming, constraint programming, or stochastic optimization.
- Proficiency in programming languages like Python, Java, C, C++, with experience using optimization libraries (e.g., CPLEX, Gurobi).
- Strong experience with simulation frameworks and techniques (e.g., Monto Carlo, discrete-event, agent-based simulation).
- Solid understanding of statistical methods and machine learning concepts.
- Proficient coding in one or more languages: Java, C++, Python, Spark, Scala, or R
- Strong proficiency in SQL for data manipulation and querying.
- Proficient with data warehouse like BigQuery and cloud platforms (GCP, Azure).
- Exceptional analytical and problem-solving skills, with the ability to think strategically and innovatively.
- Excellent verbal and written communication skills, with the ability to present complex technical concepts to diverse audiences.
- Track record of successfully interacting with business stakeholders and driving productive conversations.
- Experience mentoring junior operations research or machine learning scientists.
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 duties, responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
For information about benefits and eligibility, see One.Walmart.
The annual salary range for this position is $110,000.00 - $220,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
- Stock
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Minimum Qualifications...
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 years' experience in an analytics or related fieldPreferred 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), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture.