(USA) Senior, Data Scientist - Last Mile Delivery
for section headings. Use - for any list of duties/requirements/benefits. Use
for prose.
We must preserve all substantive information, not invent or summarize away detail. Remove boilerplate: cookie/navigation/legal/EEO etc. There's a drug-free workplace statement at end; that's legal boilerplate, should remove. Also location maybe keep? It's substantive? It's location; could be included maybe as a short paragraph under About the role? Not a heading. We'll keep location as a paragraph.
We must not include application instructions. There's none.
We must not include duplicated lines.
We need to ensure we don't create sections with filler like "commensurate with experience". Not present.
Now craft HTML.
Structure:
About the role
Role summary: The Senior Data Scientist will leverage advanced analytical techniques and domain expertise to identify, develop, and deploy data-driven solutions that support strategic business objectives. This role involves sourcing and validating data, designing predictive models, and ensuring scalable implementation while collaborating with cross-functional teams. The position requires proficiency in programming, statistical methods, and data visualization to translate complex data into actionable insights. The successful candidate will mentor peers, uphold high standards of integrity, and contribute to continuous improvement initiatives that enhance business performance and customer value.
About the team: The Walmart Last Mile team leads proactive logistics by utilizing an Automated Recommendation Agent that monitors network health, detects anomalies, diagnoses root causes, and suggests corrective actions. Combining expertise in data science, machine learning, and data visualization, the team transforms complex data into actionable insights. As a Senior Data Scientist, you will develop methods to identify key signals, analyze causal factors, and recommend solutions. The team values analytical rigor, collaboration, and innovation to enhance operational efficiency and deliver impactful business outcomes in a dynamic environment.
Primary Location: 802 Respect Dr, Bentonville, AR 72716, United States of America
Responsibilities
- Architect Anomaly Detection: Flag delivery irregularities using time-series forecasting, clustering, or statistical limits.
- Automate Root Cause Analysis: Deploy causal inference agents to isolate systemic network issues from localized friction.
- Build Prescriptive Engines: Translate insights into action by algorithmically recommending optimal interventions (e.g., re-routing, incentives).
- Leverage Forecasting: Predict operational states to establish baselines and simulate the impact of proposed solutions.
- Scale Data Operations: Write production-grade Python, SQL, and PySpark to process massive distributed datasets.
- Define Technical Roadmap: Advise leadership on modeling trade-offs and drive the strategic path to value.
What you'll bring
Extensive experience in data science, including advanced statistical methods and predictive modeling. Proficiency in programming languages such as Python, R, and SQL for data analysis and model development. Strong knowledge of machine learning techniques and model assessment, validation, and deployment. Expertise in data visualization tools and best practices to effectively communicate insights. Ability to identify and source relevant business data, ensuring data quality and alignment with business needs. Understanding of data strategy, governance, and scalable model implementation in production environments. Proven capability to translate complex business problems into data-driven solutions and actionable recommendations.
We could also treat this as Skills section. But we already have What you'll bring; maybe better as Skills. However instructions: Use headings for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). So we should map content to those headings. We have:
- About the role: role summary + about team + location.
- Responsibilities: what you'll do list.
- Requirements: maybe minimum qualifications? But we also have Qualifications heading separate. Could treat Requirements as "What you'll bring" (skills/experience). Qualifications as minimum/preferred.
- Skills: maybe we could split "What you'll bring" into Skills and Requirements? But we have limited headings; we can choose to use Requirements for "What you'll bring" and Qualifications for minimum/preferred.
Thus:
Requirements
Extensive experience in data science, including advanced statistical methods and predictive modeling. Proficiency in programming languages such as Python, R, and SQL for data analysis and model development. Strong knowledge of machine learning techniques and model assessment, validation, and deployment. Expertise in data visualization tools and best practices to effectively communicate insights. Ability to identify and source relevant business data, ensuring data quality and alignment with business needs. Understanding of data strategy, governance, and scalable model implementation in production environments. Proven capability to translate complex business problems into data-driven solutions and actionable recommendations.
Qualifications
We need to list minimum and preferred qualifications. Use - for each.
Minimum Qualifications:
- Option 1: Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 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 1 years' experience in an analytics related field.
- Option 3: 5 years' experience in an analytics or related field.
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),
- 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.
We need to preserve all detail; we can keep as paragraphs or list items. Use
- for list.
We'll create two sub-sections? Could just list all as items with indication. But better to have headings inside? Not allowed; only h3 headings. Could embed paragraphs before lists.
We'll do:
Qualifications
Minimum Qualifications
- Option 1- Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 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 1 years' experience in an analytics related field.
- Option 3 - 5 years' experience in an analytics or related field.
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)
- 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.
Now Benefits:
Benefits
- 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, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.
- You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable.
- Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment.
But we need to preserve all detail; we have truncated sentence. Let's copy full text: "Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart. 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." Also there is line: "For information about PTO, see https://one.walmart.com/notices." We should include that as part of benefits.
Thus Benefits section will have multiple items; we can keep as paragraphs or list items. Use - for any list of duties/requirements/benefits. So we should list each benefit as
- . However some sentences are long; we can still put them in
- . We'll break them logically.
Let's extract benefits bullet points:
- 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, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.
- You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws
for prose. We must preserve all substantive information, not invent or summarize away detail. Remove boilerplate: cookie/navigation/legal/EEO etc. There's a drug-free workplace statement at end; that's legal boilerplate, should remove. Also location maybe keep? It's substantive? It's location; could be included maybe as a short paragraph under About the role? Not a heading. We'll keep location as a paragraph. We must not include application instructions. There's none. We must not include duplicated lines. We need to ensure we don't create sections with filler like "commensurate with experience". Not present. Now craft HTML. Structure:
About the role
Role summary: The Senior Data Scientist will leverage advanced analytical techniques and domain expertise to identify, develop, and deploy data-driven solutions that support strategic business objectives. This role involves sourcing and validating data, designing predictive models, and ensuring scalable implementation while collaborating with cross-functional teams. The position requires proficiency in programming, statistical methods, and data visualization to translate complex data into actionable insights. The successful candidate will mentor peers, uphold high standards of integrity, and contribute to continuous improvement initiatives that enhance business performance and customer value.
About the team: The Walmart Last Mile team leads proactive logistics by utilizing an Automated Recommendation Agent that monitors network health, detects anomalies, diagnoses root causes, and suggests corrective actions. Combining expertise in data science, machine learning, and data visualization, the team transforms complex data into actionable insights. As a Senior Data Scientist, you will develop methods to identify key signals, analyze causal factors, and recommend solutions. The team values analytical rigor, collaboration, and innovation to enhance operational efficiency and deliver impactful business outcomes in a dynamic environment.
Primary Location: 802 Respect Dr, Bentonville, AR 72716, United States of America
Responsibilities
- Architect Anomaly Detection: Flag delivery irregularities using time-series forecasting, clustering, or statistical limits.
- Automate Root Cause Analysis: Deploy causal inference agents to isolate systemic network issues from localized friction.
- Build Prescriptive Engines: Translate insights into action by algorithmically recommending optimal interventions (e.g., re-routing, incentives).
- Leverage Forecasting: Predict operational states to establish baselines and simulate the impact of proposed solutions.
- Scale Data Operations: Write production-grade Python, SQL, and PySpark to process massive distributed datasets.
- Define Technical Roadmap: Advise leadership on modeling trade-offs and drive the strategic path to value.
What you'll bring
Extensive experience in data science, including advanced statistical methods and predictive modeling. Proficiency in programming languages such as Python, R, and SQL for data analysis and model development. Strong knowledge of machine learning techniques and model assessment, validation, and deployment. Expertise in data visualization tools and best practices to effectively communicate insights. Ability to identify and source relevant business data, ensuring data quality and alignment with business needs. Understanding of data strategy, governance, and scalable model implementation in production environments. Proven capability to translate complex business problems into data-driven solutions and actionable recommendations.
We could also treat this as Skills section. But we already have What you'll bring; maybe better as Skills. However instructions: Use headings for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). So we should map content to those headings. We have: - About the role: role summary + about team + location. - Responsibilities: what you'll do list. - Requirements: maybe minimum qualifications? But we also have Qualifications heading separate. Could treat Requirements as "What you'll bring" (skills/experience). Qualifications as minimum/preferred. - Skills: maybe we could split "What you'll bring" into Skills and Requirements? But we have limited headings; we can choose to use Requirements for "What you'll bring" and Qualifications for minimum/preferred. Thus:Requirements
Extensive experience in data science, including advanced statistical methods and predictive modeling. Proficiency in programming languages such as Python, R, and SQL for data analysis and model development. Strong knowledge of machine learning techniques and model assessment, validation, and deployment. Expertise in data visualization tools and best practices to effectively communicate insights. Ability to identify and source relevant business data, ensuring data quality and alignment with business needs. Understanding of data strategy, governance, and scalable model implementation in production environments. Proven capability to translate complex business problems into data-driven solutions and actionable recommendations.
Qualifications
We need to list minimum and preferred qualifications. Use- for each.
Minimum Qualifications:
- Option 1: Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 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 1 years' experience in an analytics related field.
- Option 3: 5 years' experience in an analytics or related field.
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),
- 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.
We need to preserve all detail; we can keep as paragraphs or list items. Use
- for list.
We'll create two sub-sections? Could just list all as items with indication. But better to have headings inside? Not allowed; only h3 headings. Could embed paragraphs before lists.
We'll do:
Qualifications
Minimum Qualifications
- Option 1- Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 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 1 years' experience in an analytics related field.
- Option 3 - 5 years' experience in an analytics or related field.
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)
- 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.
Benefits
- 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, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.
- You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable.
- Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment.
- for any list of duties/requirements/benefits. So we should list each benefit as
- . However some sentences are long; we can still put them in
- . We'll break them logically. Let's extract benefits bullet points: - 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, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. - You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws
- for list.
We'll create two sub-sections? Could just list all as items with indication. But better to have headings inside? Not allowed; only h3 headings. Could embed paragraphs before lists.
We'll do: