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Senior, Data Scientist - Machine Learning - job 1 of 2

Position Summary...What you'll do...We are looking for a Senior Machine Learning Engineer to lead the scaling and deployment of cutting-edge machine learning and deep learning models powering Data Ventures team.About The TeamData 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. You will play a lead technical role in architecting scalable data science solutions working with business, product, and engineering partners and deliver outstanding business outcomes. You'll spend your days advocating and implementing MLOPs best practices and guiding other DS team members through the processes of optimizing and deploying various ML models and solutions. You will help establish best practices for model deployment, monitoring, and risk assessment, and be instrumental in productionizing and optimizing ML solutions for low latency inference times.What You'll Do:• The Senior Machine Learning Engineer is responsible for building scalable end-to-end data science solutions for our data products.• Works closely with data engineers, data analysts, data scientists and application developers to help build ML and statistics driven models and continuous model monitoring workflows.• Solve business problems by scaling advanced Machine Learning algorithms and complex statistical models on large volumes of data.• Own the MLOps lifecycle, from data monitoring to refactoring data science code to building robust ML model lifecycle.• Demonstrate strong thought-leadership and consult with product and business stakeholders to build, scale and deploy holistic machine learning solutions after successful prototyping.• Guide team members in achieving MLOps driven data science outcomes and handle multiple products and initiatives.• Follow industry best practices, stay up to date with and extend the state of the art in machine learning research and practice.• Participate in internal technical councils and represent the organization in forums that involve community of machine learning engineers.What You'll Bring:• You have engineering mindset and exposure to software engineering principles, Agile methodologies, CICD, distributed systems and implemented that in Machine Learning projects.• You have experience in NLP/NLU, Forecasting and Anomaly detection DS solution development and deployment in real world scenarios.• You have strong knowledge of Machine Learning, MLOps, MLflow, Kubeflow, Python/R, SQL, Big Data, GCP, Shell scripting.• Experience in scaling infrastructure to support high-throughput data-intensive applications using PySpark/GPU• You worked on integrating ML models with webservices.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.About Global TechImagine working in an environment where one line of code can make life easier for hundreds of millions of people and put a smile on their face. That's what we do at Walmart Global Tech. We're a team of 15,000+ software engineers, data scientists and service professionals within Walmart, the world's largest retailer, delivering innovations that improve how our customers shop and empower our 2.2 million associates. To others, innovation looks like an app, service, or some code, but Walmart has always been about people. People are why we innovate, and people power our innovations. Being human led is our true disruption.Benefits & PerksBeyond competitive pay, 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 EmployerWalmart, 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.At Walmart, we offer competitive pay as well as performance-based bonus 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, 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.For information about PTO, see https://one.walmart.com/notices .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 .Sunnyvale, California US-11349:The annual salary range for this position is $117,000.00-$234,000.00Bentonville, Arkansas US-10735:The annual salary range for this position is $90,000.00-$180,000.00Additional compensation includes annual or quarterly performance bonuses.Additional compensation for certain positions may also include:- StockMinimum Qualifications...Outlined below are the required minimum qualifications for this position. If none are listed, there are no 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...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)Primary Location...2501 Se J St, Ste A, Bentonville, AR 72716-3724, United States of America
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What You Should Know About Senior, Data Scientist - Machine Learning, Walmart

Join Walmart's Global Tech team as a Senior Data Scientist - Machine Learning in beautiful Cassville, MO! At Walmart, we're building the next generation of data science applications to empower our merchants and suppliers with actionable insights. As part of our Data Ventures team, you’ll lead the charge in crafting and scaling cutting-edge machine learning and deep learning models. You'll collaborate closely with engineers, analysts, and stakeholders to build robust, end-to-end data science solutions. Here, your MLOps expertise will shine as you foster best practices in model deployment and optimize for low latency inference times. Engage in diverse projects, while also guiding fellow data scientists to ensure our machine learning solutions are top-notch. Your strong engineering mindset, agile experience, and proficiency in tools like MLflow, Kubeflow, and Python/R will be pivotal in solving complex business problems and transforming how we leverage data. If you’re looking for a stimulating environment where your work makes a difference, this is your opportunity! We care about making life easier for our customers and creating innovative solutions that reflect our commitment to people-powered technology. Apply now and let's make an impact together!

Frequently Asked Questions (FAQs) for Senior, Data Scientist - Machine Learning Role at Walmart
What are the responsibilities of a Senior Data Scientist - Machine Learning at Walmart?

As a Senior Data Scientist - Machine Learning at Walmart, you'll lead the development of advanced ML models, architect scalable data solutions, and collaborate with cross-functional teams to deliver insights. You’ll also focus on deploying processes that enhance model performance through continuous monitoring and improvement. Owning the MLOps lifecycle to ensure efficient operations is a key responsibility.

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What qualifications are needed for the Senior Data Scientist - Machine Learning position at Walmart?

To qualify for the Senior Data Scientist - Machine Learning role at Walmart, candidates typically need a Bachelor’s degree with relevant experience in analytics, or a Master’s degree in a similar field with less experience. An ideal candidate should have substantial hands-on experience with machine learning, strong programming skills in Python or R, and a solid understanding of MLOps practices.

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What technologies should I be familiar with for the Senior Data Scientist - Machine Learning role at Walmart?

In the Senior Data Scientist - Machine Learning position at Walmart, familiarity with a range of technologies is crucial. You should have a good grasp of Python/R, SQL, distributed systems, and big data tools, alongside experience with MLops technologies such as MLflow or Kubeflow. Knowledge of libraries like TensorFlow or PyTorch for model development is also highly advantageous.

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What is the team culture like for the Senior Data Scientist - Machine Learning at Walmart?

The team culture within Walmart's Data Ventures is fast-paced and innovative, resembling a startup environment. Collaboration is encouraged, and employees are empowered to share ideas and take initiative. This approach ensures that everyone contributes to delivering data-driven solutions that truly make a difference in the business.

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How does Walmart support the career development of its Senior Data Scientists - Machine Learning?

Walmart actively invests in the career development of its Senior Data Scientists - Machine Learning. You will gain access to various training programs, mentorship opportunities, and internal councils that focus on fostering talent. Continuous learning is at the forefront, and you'll have numerous pathways to advance your skills and career moving forward.

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Common Interview Questions for Senior, Data Scientist - Machine Learning
Can you describe your experience with deploying machine learning models?

When answering this question, highlight specific projects where you deployed models successfully. Discuss the methodologies you utilized, any challenges faced during deployment, and how you ensured model performance through monitoring strategies and adjustments.

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How do you approach solving business problems with data?

Outline a structured approach when responding, starting from identifying the business challenge, collecting relevant data, and involving stakeholders to understanding their needs. Detail your process of model selection and validation to ensure comprehensive solutions.

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What MLOps practices have you implemented in past projects?

Discuss the MLOps framework you applied, such as versioning, automation through CI/CD pipelines, and monitoring efficiency post-deployment. Illustrate how these practices led to enhanced results in previous projects.

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How do you stay updated with trends in machine learning and data science?

Convey your strategies for staying informed, such as following leading machine learning journals, participating in relevant forums, or attending conferences. Be specific about how these sources have influenced your current knowledge and practices.

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Can you discuss a particularly complex data science project you worked on?

Choose a project that demonstrates a range of skills. Clearly articulate the problem, your role, methods employed, and the successful outcome, focusing on what you learned and how it can be applied in the new role at Walmart.

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What tools and technologies do you prefer for data analysis and model building?

Highlight your proficiency in tools relevant to the role, like Python, R, PySpark, and cloud platforms. Share examples of how these tools were effectively utilized in your past projects to solve complex problems.

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How do you ensure the accuracy and reliability of your models?

Detail the validation techniques you use, like cross-validation and performance metrics assessments. Discuss how you interpret data to minimize bias and ensure your models are aligned with business objectives.

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Describe your experience with data visualization and communication of findings.

Share specific tools like Tableau or Matplotlib that you've used, and provide examples of how you presented your findings clearly to stakeholders, encouraging decisions that were data-driven.

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How do you handle stakeholder disagreements on data outcomes?

Discuss your approach to resolving conflicts through open communication and data-backed arguments. Emphasize your ability to listen, understand differing viewpoints, and find common ground.

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What do you believe is the future of machine learning?

Provide an insightful answer reflecting on trends such as the evolution of AI ethics, increasing automation, and the continuous integration of machine learning in various industries, underscoring your enthusiasm for ongoing advancements.

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Full-time, on-site
DATE POSTED
December 16, 2024

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