Walmart
Staff, Data Scientist - Data Ventures
Walmart, California, Missouri, United States, 65018
Position Summary:Data Ventures, akin to a nimble startup incubated within Walmart, is building the best-in-class suite of Data Products to deliver actionable, customer-centric insights and help merchants and suppliers make better business decisions on omni-channel 360 performance.As a
Staff Data Scientist,
you will lead data science projects/products and take ownership of project delivery and responsibilities and be the technical SPOC for your team. You will work closely with product stakeholders and deliver outstanding business outcomes. Provide leadership with constant updates and align with directions and expectations.This is not an entry-level position.What You’ll Do:Work in customer data science space building models for customer segmentation, customer LTV, etc.Work with the marketing team to build algorithms that would help in better customer targeting.Analyze the business problem and recommend approaches to resolve the business problem.Select appropriate modeling techniques for complex problems with large scale, multiple structured and unstructured data sets.Select and develop variables and features iteratively based on model responses in collaboration with the business.Conduct exploratory data analysis activities (for example, basic statistical analysis, hypothesis testing, statistical inferences) on available data.Work on ad-hoc data science projects.Mentor junior data scientists in the team and act as a tech SPOC from your area.What You’ll Bring:Passion for problem-solving, with an analytical mindset, critical-thinking, and data skills.Expertise in Machine Learning and Deep Learning (CNN, RNN, etc.), GAN, Transformers, NLP, and LLMs.Strong technical skills in
SQL, Python, R, PyTorch, TensorFlow
or other programming languages.Deep expertise in
Customer Data Science
viz. customer segmentation, churn analysis, repeat purchase, market basket, A/B testing, etc.Awareness of software engineering principles, ability to develop and deploy appropriate analytic code suitable for production.Working knowledge of
CI/CD and MLOps, large scale model deployment and integration.Experience working with
large datasets , finding insights, and telling stories using data.Good knowledge in working with
distributed datastores
(e.g.,
SQL, NoSQL ), and
Big Data
and
Cloud technologies
like
GCP BQ.Experience in leading and mentoring a team of data scientists.Excellent communication skills and ability to effectively communicate technical concepts to non-technical stakeholders.Prior experience working with retail datasets is strongly preferred.About Walmart Global Tech:Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That’s what we do at Walmart Global Tech. We’re a team of software engineers, data scientists, cybersecurity experts, and service professionals within the world’s leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions, and reimagine the future of retail.Flexible, hybrid work:We use a hybrid way of working that is primarily in-office coupled with virtual when not onsite. Our campuses serve as a hub to enhance collaboration, bring us together for purpose and deliver on business needs. This approach helps us make quicker decisions, remove location barriers across our global team, and be more flexible in our personal lives.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:Walmart, Inc. 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, 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. The full Job Description can be made available as part of the hiring process.Minimum Qualifications:Option 1: Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 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 2 years' experience in an analytics-related field. Option 3: 6 years' experience in an analytics or related field.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.Primary Location:840 W California Ave, Sunnyvale, CA 94086-4828, United States of America
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Staff Data Scientist,
you will lead data science projects/products and take ownership of project delivery and responsibilities and be the technical SPOC for your team. You will work closely with product stakeholders and deliver outstanding business outcomes. Provide leadership with constant updates and align with directions and expectations.This is not an entry-level position.What You’ll Do:Work in customer data science space building models for customer segmentation, customer LTV, etc.Work with the marketing team to build algorithms that would help in better customer targeting.Analyze the business problem and recommend approaches to resolve the business problem.Select appropriate modeling techniques for complex problems with large scale, multiple structured and unstructured data sets.Select and develop variables and features iteratively based on model responses in collaboration with the business.Conduct exploratory data analysis activities (for example, basic statistical analysis, hypothesis testing, statistical inferences) on available data.Work on ad-hoc data science projects.Mentor junior data scientists in the team and act as a tech SPOC from your area.What You’ll Bring:Passion for problem-solving, with an analytical mindset, critical-thinking, and data skills.Expertise in Machine Learning and Deep Learning (CNN, RNN, etc.), GAN, Transformers, NLP, and LLMs.Strong technical skills in
SQL, Python, R, PyTorch, TensorFlow
or other programming languages.Deep expertise in
Customer Data Science
viz. customer segmentation, churn analysis, repeat purchase, market basket, A/B testing, etc.Awareness of software engineering principles, ability to develop and deploy appropriate analytic code suitable for production.Working knowledge of
CI/CD and MLOps, large scale model deployment and integration.Experience working with
large datasets , finding insights, and telling stories using data.Good knowledge in working with
distributed datastores
(e.g.,
SQL, NoSQL ), and
Big Data
and
Cloud technologies
like
GCP BQ.Experience in leading and mentoring a team of data scientists.Excellent communication skills and ability to effectively communicate technical concepts to non-technical stakeholders.Prior experience working with retail datasets is strongly preferred.About Walmart Global Tech:Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That’s what we do at Walmart Global Tech. We’re a team of software engineers, data scientists, cybersecurity experts, and service professionals within the world’s leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions, and reimagine the future of retail.Flexible, hybrid work:We use a hybrid way of working that is primarily in-office coupled with virtual when not onsite. Our campuses serve as a hub to enhance collaboration, bring us together for purpose and deliver on business needs. This approach helps us make quicker decisions, remove location barriers across our global team, and be more flexible in our personal lives.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:Walmart, Inc. 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, 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. The full Job Description can be made available as part of the hiring process.Minimum Qualifications:Option 1: Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 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 2 years' experience in an analytics-related field. Option 3: 6 years' experience in an analytics or related field.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.Primary Location:840 W California Ave, Sunnyvale, CA 94086-4828, United States of America
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