Position Summary... What you'll do... Walmart Golbal Tech is looking to hire a Senior Data Scientist for our Sunnyvale/Bellevue location. You would be working on challenging problems leveraging Machine Learning and Deep Learning Techniques to generate tangible and immediate business impact. As a Senior Data Scientist for Walmart Labs, you'll be required to shape and deliver on the MINT data sciences charter. Are you a technically strong and high performing individual with experience in machine learning and deep learning, excellent communication skills, proven analytical skills and strong customer focus? Do you stay updated with latest research and technology ideas and have a passion to utilize innovative ways to solve problems? Are you a good storyteller and able to simply articulate the intricacies of your models as well as explain your results clearly to stakeholders? About Team : Market Intelligence (MINT) Market Intelligence (MINT) team at Walmart Labs, delivers on the promise of EDLP (Every Day Low Prices) to our customers. It is focused on generating actionable insights for pricing, assortment, marketing optimization purpose for stores and e-commerce business across geographies leveraging market intelligence. Our systems are built leveraging cutting edge open-source technologies. What you'll do : <ul> <li> 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, NLP, Computer Vision, neural networks, SVM, Random Forest etc.) </li><li> Deep Learning : Experience in fine tuning Large Language Models and Vision Models. Experience with model compression methods like distillation and quantization and related inference optimizations methods. </li><li> 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. </li> <li> Model Deployment & Scaling : Impact of variables and features on model performance. Understanding of servers, model formats to store models. </li> <li> 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. </li> </ul> What you'll bring : <ul> <li>Master's Degree with > 4+ years of relevant experience OR PhD with > 2+ years of relevant experience in Computer Science, Statistics, Information Technology, Operations Research, or a related field </li><li>Proficiency in Python . </li><li> Hands-on experience in Large Language Models, Generative AI, NLP, Machine Learning and Deep Learning techniques . </li><li>Experience in open-source frameworks and packages like scikit-learn, Numpy, Pandas, matplotlib, and Pytorch/Tensorflow. </li><li>Knowledge of experimental design and A/B testing </li></ul> 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 expert's 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 . Bellevue, Washington US-11075:The annual salary range for this position is $108,000.00-$216,000.00 Sunnyvale, California US-07003:The annual salary range for this position is $117,000.00-$234,000.00 Bentonville, Arkansas US-10735:The annual salary range for this position is $90,000.00-$180,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include: - Stock Minimum 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, 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... 860 W California Avenue, Sunnyvale, CA 94086-0000, United States of America

Position Summary... What you'll do... ** Immigration sponsorship is not available in this role .** W e are seeking an exceptionally talented Senior Data Scientist to join our personalization team. With a strong background in Computer Vision, Computer Science, Mathematics, or Statistics, you will be instrumental in enhancing our customer experiences and contributing to our sales growth through innovative data-driven insights. As a Senior Data Scientist for our team, you'll leverage your expertise in machine learning, deep learning and reinforcement learning to create large-scale, personalized recommendation models for our omni-channel retail platform, with a focus on exploring and implementing cutting-edge technologies like Large Language Models (LLM's). This role taps into the forefront of AI, offering the opportunity to innovate and shape the future of retail personalization. About Team : Our personalization team is dedicated to crafting tailored shopping experiences that delight our customers. By leveraging the latest advancements in computer vision, machine learning, and statistics, we strive to deliver highly relevant product recommendations and seamless shopping journeys. Join our team and be a part of shaping the future of retail! What you'll do : <ul> <li>Utilize machine learning technologies such as Java, Python, Pyspark, TensorFlow, and PyTorch to design, develop, and implement high-performance, scalable applications for personalized recommendations </li><li> Develop and implement computer vision algorithms and models to solve complex business problems, such as object detection, image classification, and image segmentation. </li><li> Collaborate with data engineers and software developers to design and implement data pipelines and architectures that support computer vision applications. </li><li> Work with stakeholders across the company to understand business needs and develop data-driven solutions that drive insights and automation. </li><li> Develop and maintain technical documentation of algorithms and models, including documentation of model performance and validation. </li><li> Communicate findings and insights to stakeholders through clear and concise reports and presentations. </li><li> Stay up to date with the latest developments in computer vision and machine learning and apply this knowledge to improve our products and processes. </li> </ul> What you'll bring : <ul><li> Educational Background : PhD degree in Computer Science, Mathematics or Statistics with 3+ years of experience in computer vision and machine learning, with a focus on developing and implementing algorithms and models. </li> <li> Deep Understanding of Machine Learning and AI : The candidate should possess a robust understanding of various machine learning algorithms, artificial intelligence, and deep learning techniques. This includes but is not limited to neural networks, regression models, gradient boosting algorithms, reinforcement learning, and large language models. They should be able to develop models with both structured and unstructured data sets. </li><li> Proficiency in Programming and Data Analysis : The candidate should be highly proficient in languages such as Java, Python, Pyspark, and have experience with machine learning frameworks like Tensorflow and PyTorch. They should be capable of using these technologies to design and develop high-performance applications. Additionally, they should have strong knowledge in data analysis methods like dimensionality reduction, predictive modelling, clustering, text mining for effective feature engineering. </li><li> E xp erience in Large Scale Applied ML Model Building : The candidate should have a prior track record of successfully building, deploying, and maintaining large-scale machine learning models in a production environment. This includes handling large volumes of data, optimizing model performance, and ensuring the scalability of the solution. </li><li> Innovation and Problem-Solving Skills : As the role involves working with new technologies, the candidate should have the ability to innovate and solve complex problems. They should be able to adapt to new technologies quickly and find creative solutions for various business problems. </li></ul> 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 expert's 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-$234,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include: - Stock Minimum 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, 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... 840 W California Ave, Sunnyvale, CA 94086-4828, United States of America

Position Summary... What you'll do... Walmart is seeking a highly skilled Principal Data Scientist with strong Causal Inference background to join our Health & Wellness team in Sunnyvale, CA. As a leading retailer, Walmart is committed to improving the health and wellness of our customers. In this role , you will leverage your expertise in causal inference to develop and apply data-driven insights that drive meaningful impact in health and wellness outcomes. About Team : We are high powered team dedicated to providing innovative solutions at the intersection of retail and consumer health that empower Walmart's consumers, businesses, and partners to make informed decisions. What you'll do : * Develop and apply causal inference methods to identify relationships between various health and wellness factors, such as nutrition, physical activity, and health outcomes. * Analyze large datasets to identify patterns, trends, and correlations that inform health and wellness initiatives and programs. * Develop and maintain data visualizations and reports to communicate insights and findings to stakeholders. * Stay up-to-date with emerging trends and technologies in data science, health and wellness, and causal inference, and apply this knowledge to improve our data analytics capabilities. * Collaborate with cross-functional teams, including data engineers, data analysts, and subject matter experts to design and implement data pipelines and analytics solutions that drive insights and inform decision-making. * Collaborate with external partners and vendors to evaluate the effectiveness of health and wellness interventions and programs. What you'll bring : * Master's or PhD degree in Computer Science, Statistics, Data Science , or a related field. * 8+ years of experience in data science, with a focus on causal inference . * Strong understanding of statistical concepts such as regression, hypothesis testing, and confidence intervals. * Proficiency in programming languages such as Python, R. * Experience with data manipulation, analysis, and visualization tools such as pandas, numpy, matplotlib, seaborn, or Tableau. * Experience with machine learning algorithms and techniques such as decision trees, random forests, and clustering. * Familiarity with cloud-based data platform s such as AWS or GCP. * Excellent communication and collaboration skill s. Preferred Qualifications : * Experience working in the healthcare or retail industry . * Experience with data storytelling and presentation to non-technical audiences. * Knowledge of privacy and security principles related to health data. 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 expert's 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 $143,000.00-$286,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include: - Stock Minimum 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 5 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in an analytics related field. Option 3: 7 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, Publications or active peer reviewer in related journals or conference, 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

Senior Data Scientist (Automation Engineering)

Are you naturally curious? So are we at MKS. Our collective curiosity drives us to be an innovation leader in many industries. Our products drive technology advancements across a wide range of applications such as 5G, augmented/virtual reality, autonomous vehicles, clean drinking water and space exploration. We are a team of collaborators who value fresh thinking and believe in mutual respect, constructive candor, diversity, and inclusion. As a valued and trusted partner to our customers, we are continually pushing the boundaries of possibility. We believe in creating technology that transforms our world and are looking for like-minded individuals to join our team. If this is appealing to you, we want to meet you.

A Day in Your Life at MKS:

We are looking for an exceptional Senior Data Scientist, who will work as part of a cross-functional team leading MKS on its journey to further automate the alignment and attachment of complex opto-mechanical assemblies. We are an interdisciplinary team building the foundation for an automated future, and your role will be to apply your expertise in data management and analysis, machine learning, and statistical modeling to enhance automation systems and other processes through the company. You will work closely with the Automation Engineering Team and other cross-functional teams within MKS to optimize processes and handling of data streams. In short, you will shape data into actionable information and harness data-driven insights to improve our understanding and decision making.

You Will Make an Impact By:

Collaborate closely with automation engineers to design and develop data pipelines, process flows and real-time dashboards so that complex system behavior can be easily understood and trackable amongst a larger lake of data.

Lead data-driven initiatives to optimize and improve automated processes for aligning, attaching, and testing opto-mechanical assemblies.

Work with high-dimensional data from various sensors, cameras, and robotic systems to generate dashboards and reports as well as derive insights that can drive process efficiency and accuracy.

Develop and implement machine learning models to analyze large sets of process data, identify trends, and provide actionable insights for continuous improvement.

Skills You Bring:

Bachelor’s degree in Data Science, Computer Science, or related Engineering field.

3+ years of experience in data science or machine learning roles, with a strong focus on process optimization, final test data streams, or manufacturing processes.

Expertise in machine learning techniques, including supervised and unsupervised learning, statistical modeling, and time-series analysis.

Demonstrated experience with:

Actively contributing to complex cross-functional projects from start to finish.

Data wrangling, feature engineering, and building data pipelines for processing large datasets.

Python and related data science libraries (e.g., Pandas, Scikit-learn, TensorFlow, etc.).

Time-series databases and visualization of time-series data.

Exceptional written and oral communication skills coupled with strong analytical skills.

Preferred Skills :

An advanced degree - Master or Ph.D. Data Science, Computer Science, or related Engineering field.

Demonstrated experience with:

Data collection and analysis for optical systems, including imaging systems, laser-based metrology, and machine vision applications.

Cloud platforms (e.g., AWS, Azure) and large-scale time-series data storage/processing servers (e.g., InfluxDB).

Automated manufacturing processes, especially in the context of opto-mechanical systems.

Active alignment of optical components using motorized stages/actuators and laser metrology/image processing feedback.

A proven ability to turn data into actionable information that can be explained at an executive level.

An inherent drive to optimize processes and performance of processes, systems, and algorithms.

Experience with Python and C++ as well as other higher level software tools and frameworks.

Experience with data visualization tools (e.g., Tableau, Grafana) and statistical software (e.g., R, MATLAB).

Experience working with fiber optics and lasers, including diode lasers, solid-state lasers, and fiber lasers, from the UV to the NIR spectrum.

MKS is an equal opportunity employer, including disability, veteran status and all categories protected by law. Please review our EOE statements for additional details. MKS is generally only hiring candidates who reside in states where we are registered to do business.

We are interested in a qualified candidate who is eligible to work in the United States. However, we will not be sponsoring work visas for this position, at this time.

Globally, our policy is to recruit individuals from wide and diverse backgrounds. However, certain positions require access to controlled goods and technologies subject to the International Traffic in Arms Regulations (ITAR) or Export Administration Regulations (EAR). Applicants for these positions may need to be “U.S. persons.” “U.S. persons” are generally defined as U.S. citizens, noncitizen nationals, lawful permanent residents (or, green card holders), individuals granted asylum, and individuals admitted as refugees.

MKS Instruments, Inc. and its affiliates and subsidiaries (“MKS”) is an affirmative action and equal opportunity employer: diverse candidates are encouraged to apply. We win as a team and are committed to recruiting and hiring qualified applicants regardless of race, color, national origin, sex (including pregnancy and pregnancy-related conditions), religion, age, ancestry, physical or mental disability or handicap, marital status, membership in the uniformed services, veteran status, sexual orientation, gender identity or expression, genetic information, or any other category protected by applicable law. Hiring decisions are based on merit, qualifications and business needs. We conduct background checks and drug screens, in accordance with applicable law and company policies. MKS is generally only hiring candidates who reside in states where we are registered to do business.

MKS is committed to working with and providing reasonable accommodations to qualified individuals with disabilities. If you need a reasonable accommodation during the application or interview process due to a disability, please contact us at: accommodationsatMKS@mksinst.com .

If applying for a specific job, please include the requisition number (ex: RXXXX), the title and location of the role

Position Summary... What you'll do... **Please note Immigration Support is not available for this role & location.** Walmart Global Tech is looking to hire an exceptionally talented Senior Data Scientist for their Personalization team in Sunnyvale to support the Personalization and Recommendation development efforts with our eCommerce team. As a Senior Data Scientist for our team, you'll leverage your expertise in machine learning, deep learning and reinforcement learning to create large-scale, personalized recommendation models for our omni-channel retail platform, with a focus on exploring and implementing cutting-edge technologies like Large Language Models (LLM's). This role taps into the forefront of AI, offering the opportunity to innovate and shape the future of retail personalization. About Team : Our team works closely with our US stores and eCommerce business to better serve customers by empowering team members, stores, and merchants with technological innovation. From groceries and entertainment to sporting goods and crafts, Walmart U.S. offers an extensive selection that our customers value, whether they shop online at Walmart.com , through one of our mobile apps, or in-store. Focus areas include customers, stores and employees, in-store service, merchant tools, merchant data science, and search and personalization. What you'll do : <ul> <li>Leverage machine learning technologies such as Java, Python, Pyspark, Tensorflow, and PyTorch to design, develop, and implement high-performance, scalable applications for personalized recommendations. </li><li>Create robust machine learning models using structured and unstructured data sets and advanced algorithms, including Neural Networks, Regression Models, and Gradient Boosting Algorithms. </li><li>Collaborate with data engineers and software developers to design and implement data pipelines and architectures that support recommendations at scale. </li><li>Work with stakeholders across the company to understand business needs and develop data-driven solutions that drive insights and automation. </li><li>Communicate findings and insights to stakeholders through clear and concise reports and presentations. </li><li>Stay up to date with the latest developments in machine learning and apply this knowledge to improve our products and processes. </li></ul> What you'll bring : <ul> <li>Master's degree/PHD in Data science, Computer Science or related fields with 3-5 years of practical experience </li><li>Expertise in Machine Learning, Statistics, Personalization and Item Recommendation algorithms </li><li>Experience in data science and building and evaluating large scale machine learning & deep learning models </li><li>Experience in designing and deploying highly scalable Recommenders Systems for e-commerce </li><li>Curiosity in state-of-the-art techniques in recommendation related areas </li><li>Exceptional business acumen and problem-solving skills, a demonstrated ability to prototype and implement complex AI solutions </li><li>Outstanding communication, leadership, and written skills </li></ul> 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 expert's 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-$234,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include: - Stock Minimum 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, 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... 860 W California Avenue, Sunnyvale, CA 94086-0000, United States of America

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