Overview
On Site
USD 144,075.00 - 234,000.00 per year
Full Time
Skills
Operations Research
Data Science
Data Processing
Management
Data Modeling
Data Flow
Cloud Computing
Database Administration
Network Design
Supply Chain Management
Collaboration
Network
Monetization
Facilitation
Accessibility
Workflow
Heuristic Analysis
Use Cases
Economics
Mathematics
Computer Science
Information Technology
Analytics
Database
SQL
Google Cloud
Google Cloud Platform
Machine Learning (ML)
scikit-learn
Optimization
CPLEX
Statistics
Linear Regression
Python
Tableau
RESTful
Web Applications
Django
Visualization
A/B Testing
Geospatial Analysis
Research
Finance
Life Insurance
Military
Job Details
What you'll do...
Position: Senior Data Scientist, Operations Research
Job Location: 1375 Crossman Avenue, Sunnyvale, CA 94089
Duties: Develop highly scalable data science solutions including building supply chain models, performing data processing, and overseeing end-to-end data modeling pipelines. Automate the variant grouping pipeline, design database structure, and establish a streamlined data flow from diverse input sources using cloud computing services and database management software. Leverage advanced statistical analysis, machine learning, simulation, and optimization techniques to identify patterns, trends, and correlation within data, thereby facilitating strategic, long-term supply chain network design. Design and maintain visualizations to effectively communicate intricate supply chain data findings to non-technical stakeholders. Collaborate cross-functionally with teams in operations, product, finance, and engineering to identify optimization opportunities and provide valuable insights. Develop intelligent solutions for Network transformation, such as capital allocation, flow optimization, and monetization strategies. Design user-friendly interface and develop interactive web applications, including facilitating self-service for stakeholders, enabling seamless model accessibility, and streamlining the execution of complex model workflows. Employ heuristic analysis to determine the potential impact of initiatives, and apply causal inference methodologies to design experiments, including A/B testing, synthetic control, and difference-in-differences techniques, to evaluate strategic initiatives and measure their market influence. Utilize geospatial systems and tools to build geometric database for last mile use cases and develop frameworks for last mile optimization. Create dynamic visualizations to effectively communicate geographic and data-driven insights to stakeholders.
Minimum education and experience required: Master's degree or equivalent in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, Engineering (any), or related field; OR Bachelor's degree or equivalent in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, Engineering (any), or related field and 2 years of experience in an analytics or related field.
Skills required: Experience designing and implementing database structures using SQL, Python, and Google Cloud Platform. Experience building machine learning models using Python and Scikit-learn. Experience building optimization models using CPlex. Experience conducting statistical analysis to interpret data using Python and linear regression. Experience visualizing model results using Python, Seaborn, Folium, and Tableau. Experience executing simulation and deploying REST API. Experience developing web applications using Django and StreamLit. Experience creating dynamic visualization using Kepler and Leafmap. Experience designing experiments using causal inference methods, including A/B test, synthetic control, and difference-in-differences. Experience with geospatial indexing systems, including the uber H3 geospatial system. Employer will accept any amount of graduate coursework, graduate research experience or professional experience with the required skills.
Salary Range: $144,075/year to $234,000/year. Additional compensation includes annual or quarterly performance incentives. Additional compensation for certain positions may also include: Regional Pay Zone (RPZ) (based on location) and Stock equity incentives.
Benefits: At Walmart, we offer competitive pay as well as performance-based incentive awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty and voting. Other benefits include short-term and long-term disability, education assistance with 100% company paid college degrees, company discounts, military service pay, adoption expense reimbursement, and more.
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.com.
Wal-Mart is an Equal Opportunity Employer.
#LI-DNP #LI-DNI
Position: Senior Data Scientist, Operations Research
Job Location: 1375 Crossman Avenue, Sunnyvale, CA 94089
Duties: Develop highly scalable data science solutions including building supply chain models, performing data processing, and overseeing end-to-end data modeling pipelines. Automate the variant grouping pipeline, design database structure, and establish a streamlined data flow from diverse input sources using cloud computing services and database management software. Leverage advanced statistical analysis, machine learning, simulation, and optimization techniques to identify patterns, trends, and correlation within data, thereby facilitating strategic, long-term supply chain network design. Design and maintain visualizations to effectively communicate intricate supply chain data findings to non-technical stakeholders. Collaborate cross-functionally with teams in operations, product, finance, and engineering to identify optimization opportunities and provide valuable insights. Develop intelligent solutions for Network transformation, such as capital allocation, flow optimization, and monetization strategies. Design user-friendly interface and develop interactive web applications, including facilitating self-service for stakeholders, enabling seamless model accessibility, and streamlining the execution of complex model workflows. Employ heuristic analysis to determine the potential impact of initiatives, and apply causal inference methodologies to design experiments, including A/B testing, synthetic control, and difference-in-differences techniques, to evaluate strategic initiatives and measure their market influence. Utilize geospatial systems and tools to build geometric database for last mile use cases and develop frameworks for last mile optimization. Create dynamic visualizations to effectively communicate geographic and data-driven insights to stakeholders.
Minimum education and experience required: Master's degree or equivalent in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, Engineering (any), or related field; OR Bachelor's degree or equivalent in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, Engineering (any), or related field and 2 years of experience in an analytics or related field.
Skills required: Experience designing and implementing database structures using SQL, Python, and Google Cloud Platform. Experience building machine learning models using Python and Scikit-learn. Experience building optimization models using CPlex. Experience conducting statistical analysis to interpret data using Python and linear regression. Experience visualizing model results using Python, Seaborn, Folium, and Tableau. Experience executing simulation and deploying REST API. Experience developing web applications using Django and StreamLit. Experience creating dynamic visualization using Kepler and Leafmap. Experience designing experiments using causal inference methods, including A/B test, synthetic control, and difference-in-differences. Experience with geospatial indexing systems, including the uber H3 geospatial system. Employer will accept any amount of graduate coursework, graduate research experience or professional experience with the required skills.
Salary Range: $144,075/year to $234,000/year. Additional compensation includes annual or quarterly performance incentives. Additional compensation for certain positions may also include: Regional Pay Zone (RPZ) (based on location) and Stock equity incentives.
Benefits: At Walmart, we offer competitive pay as well as performance-based incentive awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty and voting. Other benefits include short-term and long-term disability, education assistance with 100% company paid college degrees, company discounts, military service pay, adoption expense reimbursement, and more.
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.com.
Wal-Mart is an Equal Opportunity Employer.
#LI-DNP #LI-DNI
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.