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Data Scientist III

Position Summary...What you'll do...Walmart Global TechWe are seeking a highly skilled Data Scientist to join our team at Walmart.About the team:Customer Digital Identity is an intelligent data platform that processes customer activity across markets, programs, devices, apps and to some extent over the Internet, in close to real time, to produce a coherent epitome, that is both representative and predictive. While recent advances in storage technology along with the proliferation of sensors have made collection of vast amounts of data very easy, the central challenge is in privacy preserving inference, be it deterministic or probabilistic. The platform offers superior insights into customer understanding, while enabling new applications.Our team believes in being EDHR - i.e., Everyday Holiday Ready - symbolizing the readiness for the scale/redundancy as if it's Black-Friday/Cyber Monday/Big Billion day every day. If you thrive in solving business problems with highly tangible and enormous business impact, love working with fabulous team members who just click, this is the place!What you'll do:• Analytical Modeling - Feature relevance and selection. Exploratory data analysis methods and techniques. Advanced statistical methods and best- practice advanced modelling techniques (e.g., graphical models, Bayesian inference, basic level of NLP, Vision, neural networks, SVM, Random Forest etc.). Programming languages like R/Python.• Model Assessment & Validation - Model fit testing, tuning, and validation techniques (e.g., Chi square, ROC curve, root mean square error etc.). Impact of variables and features on model performance.• Model Deployment & Scaling - Impact of variables and features on model performance. Understanding of servers, model formats to store models.• Data Visualization: Generates appropriate graphical representations of data and model outcomes under guidance. Supports the understanding of customer requirements and designs data representations for simple data sets. Presents to and influences the team using the appropriate frameworks and conveys messages through basic business understanding.What you'll bring:• Sound knowledge of machine learning and deep learning concepts• Applied knowledge in ML (decision trees, random forests, boosting, etc.) and DL (CNNs, RNNs, attention mechanisms, etc.)• Sound knowledge of managing data for experiments (sampling, labelling, EDA, etc.)• Statistical Measurement, A/B Testing• Experience working with large data sets in big data environments (preferably Hadoop based)• Working proficiency in Python, SQL and Linux/UNIX environmentsImmigration sponsorship is not available in this roleAbout Walmart Global TechImagine 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: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.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 .The annual salary range for this position is $117,000.00-$234,000.00Additional 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: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics or related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field. Option 3: 4 years' experience in an analytics or related field.As permitted by applicable law, provide evidence of full vaccination as defined by CDC guidelines OR secure approval of medical or religious accommodation for the vaccination mandate.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, 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.Primary Location...640 W California Avenue, Sunnyvale, CA 94086-4828, United States of America
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$117000K
$234000K

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What You Should Know About Data Scientist III, Walmart

Are you ready to elevate your data science career with Walmart Global Tech? As a Data Scientist III based in Mountain View, CA, you'll dive into the world of Customer Digital Identity, a cutting-edge data platform that analyzes customer interactions across multiple channels. In this dynamic role, you will utilize your prowess in analytical modeling, such as feature selection, exploratory data analysis, and advanced statistical methods, while working with languages like Python and R. You'll be pivotal in model assessment, employing techniques like ROC curve and root mean square error to ensure optimal model performance. Your insights will help shape how we view customer data, presenting your findings in a way that resonates with the team and influences decision-making. We're not just looking for someone who can crunch numbers; we want a collaborative team player who thrives in a high-stakes environment. If you're passionate about machine learning, deep learning, and creating impactful solutions in real-time, this is the place for you! At Walmart Global Tech, we believe in a diverse, inclusive atmosphere where your skills can shine, and you can contribute to innovation that touches millions of lives. Join us in this journey of reshaping retail experiences while enjoying a hybrid work culture and a robust benefits package that values your hard work and creativity.

Frequently Asked Questions (FAQs) for Data Scientist III Role at Walmart
What are the responsibilities of a Data Scientist III at Walmart Global Tech?

As a Data Scientist III at Walmart Global Tech, your responsibilities include performing analytical modeling, conducting model assessments and validations, deploying scalable models, and generating impactful data visualizations. You'll leverage your knowledge of machine learning and deep learning techniques to solve business problems and provide insights that drive strategic decisions.

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What qualifications do I need to apply for the Data Scientist III position at Walmart Global Tech?

To apply for the Data Scientist III position at Walmart Global Tech, you should have a Bachelor's degree in a relevant field along with two years of experience in analytics, or a Master's degree, or four years of relevant experience. Additionally, proficiency in Python, SQL, and big data environments is essential for this role.

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How does Walmart Global Tech approach data privacy for a Data Scientist III?

At Walmart Global Tech, data privacy is paramount, especially for a Data Scientist III. You'll be tasked with privacy-preserving inference in your analytical work, ensuring compliance with data protection regulations while delivering insights that drive customer understanding and innovation.

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What programming languages should a Data Scientist III at Walmart Global Tech be familiar with?

A Data Scientist III at Walmart Global Tech should be proficient in programming languages such as Python and R. Knowledge in SQL and familiarity with Linux/UNIX environments will also be beneficial, enabling effective data manipulation and analysis.

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What kind of projects will a Data Scientist III at Walmart Global Tech work on?

As a Data Scientist III at Walmart Global Tech, you'll engage in projects that involve advanced statistical modeling, machine learning algorithm development, and creating data visualizations that yield insights from vast datasets. Your work will influence customer experiences across different platforms, making a tangible impact on the business.

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Common Interview Questions for Data Scientist III
Can you describe a machine learning project you've worked on?

When answering this question, focus on the significance of the project and your specific role. Discuss the challenges you faced, the methodologies you employed (like decision trees or neural networks), and the outcomes regarding insights gained or efficiency improved. Highlight your hands-on experience with the tools and how this project illustrates your problem-solving skills.

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How do you ensure the accuracy of your data models?

To ensure accuracy, I rigorously test models using techniques such as cross-validation and ROC curves, focusing on metrics like precision and recall. I also engage in regular model retraining when new data emerges, ensuring that the model remains relevant and predictive over time.

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What experience do you have with big data technologies?

In my previous roles, I've worked extensively with Hadoop-based environments, enabling efficient handling of large datasets. I am familiar with tools that allow for distributed computing and have utilized them in predictive modeling tasks, which enhances scalability and performance.

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Describe your experience with data visualization tools.

I have hands-on experience with visualization tools such as Tableau and Matplotlib, which I use to create compelling visuals that translate complex data into understandable insights. I prioritize designing clear, concise visuals that effectively communicate key findings to both technical and non-technical stakeholders.

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How do you stay current with developments in machine learning?

I stay updated on machine learning advancements by subscribing to relevant journals and blogs, participating in online courses, and attending industry conferences. Engaging with professional communities helps me exchange knowledge and learn about emerging trends and best practices.

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What are your thoughts on A/B testing?

A/B testing is a powerful technique for understanding the effectiveness of changes made to products or services. I believe it is crucial for making data-driven decisions. I actively promote rigorous A/B testing in my work to validate hypotheses and gauge the impact of variations before full implementation.

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Tell us about a time you worked with a cross-functional team.

In my last position, I collaborated with product managers and software engineers on a project aimed at enhancing customer recommendations. We held regular sync-ups to discuss progress, challenges, and insights, ensuring alignment and the successful delivery of the project. This experience taught me the importance of communication and teamwork in achieving common goals.

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How do you handle missing or corrupt data?

I believe in being proactive about data quality. For missing data, I typically use imputation methods depending on the context, while also evaluating the potential impact of missing values on my analysis. For corrupt data, I work to identify the root cause and implement cleaning strategies to ensure the integrity of my datasets.

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What is your experience with Python for data analysis?

I have strong proficiency in Python, utilizing libraries like Pandas and NumPy for data manipulation, as well as Scikit-learn for implementing machine learning algorithms. My experience ranges from exploratory data analysis to model deployment, illustrating my ability to apply Python effectively in various stages of the data science lifecycle.

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Why do you want to work for Walmart Global Tech?

I am eager to work for Walmart Global Tech because it stands at the intersection of technology and retail, where I can make an immediate impact. The values of innovation and inclusivity resonate with me, and I admire Walmart's commitment to leveraging data to improve customer experiences. This opportunity aligns perfectly with my passion for data science and my desire to contribute to strategic decisions that affect millions.

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"To save people money so they can live better.”

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Full-time, hybrid
DATE POSTED
December 10, 2024

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