Position Summary...

What you'll do...

You will join a group focusing on developing data-driven models and services and bringing high quality demand from a wide variety of digital sites (google, bing, facebook, pinterest, etc.) to Walmart E-Commerce sites at low cost in order to sustain and accelerate the growth of Walmart E-Commerce. We also work on ML based customer-centric retention solutions to cultivate a loyal base of omni-channel Walmart customers.

Responsibilities...

As a machine learning platform team, we are responsible for

Building and maintaining a robust, scalable machine learning platform for machine learning operations end to end from developing, versioning and deploying machine learning models.
Developing, deploying, and maintaining high-quality web-based dashboard systems to extract visual insights from an ever-growing dataset, monitor machine learning models, evaluate model performance by A/B test etc.
Developing, testing, and deploying big-data pipelines and machine learning pipelines from ingestion, model productionisation to visualization.
Building and deploying scalable machine learning API services.
Managing public cloud services, utilizing public cloud tools and resources efficiently to scale our storage and computation in Google Cloud Platform.
You will be working as Tech Lead on our backend services for end to end machine learning platform.

You Should Have...      Proficiency in at least one programming language, such as python, Java, C++, JavaScript
Good understanding of data structures and algorithms
Strong knowledge and experience in big-data techniques, such as spark, hive, spark-sql, noSQL, Big Query, etc.
Knowledge and experience in Linux, public cloud computing, docker, kubernetes
Experience in REST API service development
Experience in machine learning operations and model serving platform will be a plus

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 .

Sunnyvale, California US-08479: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, 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...

640 W California Avenue, Sunnyvale, CA 94086-4828, United States of America

Our client, a Financial Company, is seeking a Data Scientist to join its team! The Brand Strategy team is looking for someone who will be responsible for designing and implementing a comprehensive customer segmentation strategy. The successful candidate will have a proven track record of building and rolling out customer segmentations, experience with market research, and expertise in leveraging transactional data. This role requires effective collaboration with various stakeholders including marketing, operations, and market research partners. Key Responsibilities: Customer Segmentation Development: - Design and execute a robust customer segmentation framework using internal transactional data and external market research - Apply statistical and machine learning techniques to identify meaningful customer segments that align with marketing and product objectives and ensure segmentation models are practical and actionable - Validate and refine segmentation models to ensure accuracy and relevance Stakeholder Collaboration: - Collaborate with marketing and operation teams to understand their segmentation needs and integrate these into the segmentation strategy - Communicate effectively with internal market research teams to incorporate research insights and validate findings Data Analysis and Reporting: - Analyze customer behavior, preferences, and transactional data to derive actionable insights - Create detailed reports and visualizations to present segmentation findings and recommendations to stakeholders - Monitoring the performance of segmentation models and provide recommendations for continuous improvement Project Management: - Manage the end-to-end customer segmentation project, ensuring timely delivery and alignment with company goals. - Develop project plans, track progress, and address any issues or roadblocks that arise. Qualifications: - Education: Bachelor’s degree in Data Science, Statistics, Computer Science, Marketing, or a related field. Master’s degree or relevant certifications is a plus. - Experience: - 8+ years of professional experience in market research, customer segmentation, customer analytics or a related quantitative field - Proven experience in building and rolling out customer segmentation models in a business context - Demonstrated experience with market research, including both internal and external sources - Proficiency in using internal transactional data for segmentation and analysis - Technical Skills: - Expertise in statistical analysis and machine learning techniques (e.g., clustering, classification). - Strong proficiency in data analysis tools and programming languages (e.g., Python, R, SQL) - Experience with data visualization tools (e.g., Tableau, Power BI) - Excellent verbal and written communication skills, with the ability to present complex data insights to non-technical stakeholders - Proven ability to collaborate with diverse teams and manage stakeholder expectations effectively Pay Rate: $75/hr W2 - $85/hr W2

must be eligible to work for any US employer without VISA sponsorship candidates located in the San Francisco Bay Area that can work onsite in San Francisco in a hybrid model are highly preferred Our large finance and advisory company is looking for a contract Data Scientist - Customer Segmentation. The manager prefers the candidate to sit onsite in San Francisco, CA. The Brand Strategy team is looking for someone who will be responsible for designing and implementing a comprehensive customer segmentation strategy. The successful candidate will have a proven track record of building and rolling out customer segmentations, experience with market research, and expertise in leveraging transactional data. This role requires effective collaboration with various stakeholders including marketing, operations, and market research partners. Contract Duration: 6-Month Required Skills & Experience<ul><li>Education: Bachelor’s degree in Data Science, Statistics, Computer Science, Marketing, or a related field. Master’s degree or relevant certifications is a plus.</li><li>8+ years of professional experience in market research, customer segmentation, customer analytics or a related quantitative field</li><li>Proven experience in building and rolling out customer segmentation models in a business context</li><li>Demonstrated experience with market research, including both internal and external sources</li><li>Proficiency in using internal transactional data for segmentation and analysis</li><li>Expertise in statistical analysis and machine learning techniques (e.g., clustering, classification).</li><li>Strong proficiency in data analysis tools and programming languages (e.g., Python, R, SQL)</li><li>Experience with data visualization tools (e.g., Tableau, Power BI)</li><li>Excellent verbal and written communication skills, with the ability to present complex data insights to non-technical stakeholders</li><li>Proven ability to collaborate with diverse teams and manage stakeholder expectations effectively</li><li>Strong organizational skills with the ability to manage multiple tasks and projects simultaneously</li><li>Experience in project management and delivering results within deadlines.</li></ul> What You Will Be Doing - Daily Responsibilities<ul><li>Customer Segmentation Development:</li><li>Design and execute a robust customer segmentation framework using internal transactional data and external market research</li><li>Apply statistical and machine learning techniques to identify meaningful customer segments that align with marketing and product objectives and ensure segmentation models are practical and actionable</li><li>Validate and refine segmentation models to ensure accuracy and relevance</li><li>Stakeholder Collaboration:</li><li>Collaborate with marketing and operation teams to understand their segmentation needs and integrate these into the segmentation strategy</li><li>Communicate effectively with internal market research teams to incorporate research insights and validate findings</li><li>Data Analysis and Reporting:</li><li>Analyze customer behavior, preferences, and transactional data to derive actionable insights</li><li>Create detailed reports and visualizations to present segmentation findings and recommendations to stakeholders</li><li>Monitoring the performance of segmentation models and provide recommendations for continuous improvement</li><li>Project Management:</li><li>Manage the end-to-end customer segmentation project, ensuring timely delivery and alignment with company goals.</li><li>Develop project plans, track progress, and address any issues or roadblocks that arise.</li></ul>

Data Scientist Fractal Analytics is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite empowers imagination with intelligence. And that it will be such Fractalites that will continue to build the company for the next 100 years. Please visit Fractal | Intelligence for Imagination for more information about Fractal. **Please Note: This role is specifically located in the North Bay area of San Francisco. You'll need to be onsite or have the ability to move. ** Role Overview As a Data Scientist specializing in Machine Learning at Fractal Analytics, you will play a pivotal role in shaping and driving our AI strategies. Your primary focus will be developing and implementing Machine Learning and statistical models that transform and elevate our client's business operations. Your responsibilities include:<ul><li>Collaborating with internal teams to understand complex business challenges and identify opportunities for AI-driven solutions.</li><li>Designing, developing, evaluating, and deploying Machine Learning algorithms that turn data into actionable insights.</li><li>Continuously research and stay abreast of the latest advancements in machine learning and AI to apply cutting-edge techniques in our solutions.</li><li>Proactively working with large datasets, ensuring the integrity and effectiveness of data used in Machine Learning models.</li><li>Engaging with clients to translate business needs into technical requirements and Machine Learning solutions.</li><li>Leading initiatives to enhance our data analytics capabilities with a focus on predictive and prescriptive analytics through Machine Learning.</li></ul> Qualifications:<ul><li>Bachelor’s or master’s degree in computer science, Data Science, Statistics, Mathematics, or a related field with a strong emphasis on Machine Learning or Artificial Intelligence.</li><li>Proficiency in Machine Learning algorithms and concepts such as supervised and unsupervised learning, neural networks, deep learning, etc.</li><li>Experience with data modeling and evaluation strategies.</li><li>Strong programming skills in Python, especially libraries used in data science like TensorFlow, PyTorch, Keras, Scikit-learn, etc.</li><li>Knowledge of data preprocessing, cleaning, and analysis techniques.</li><li>Familiarity with big data technologies such as Hadoop, Spark, or similar platforms.</li><li>At least 3-5 years of experience in a Machine Learning or data science role, with a proven track record of developing and deploying models that have driven business impact.</li><li>Experience working with large and complex datasets.</li><li>Prior exposure to cloud computing services like AWS, Azure, or Google Cloud Platform is advantageous.</li></ul> Pay:The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions, including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is: 115,000 to 185,000. In addition, you may be eligible for a discretionary bonus for the current performance period. Benefits:As a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of employment with the Company. In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms. The Company provides for 11 paid holidays and 12 weeks of Parental Leave. We also follow a “free time” PTO policy, allowing you the flexibility to take the time needed for either sick time or vacation. Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Job Title: Senior Marketing Data ScientistLocation: San Francisco Bay Area or Remote (US only)Salary: $200-225k base + bonus + equity We are seeking a Senior Data Scientist with deep expertise in marketing analytics and machine learning to spearhead initiatives for a company revolutionizing human health. In this role, you’ll turn data into actionable insights, developing predictive models that drive customer acquisition, retention, and engagement. As part of a mission-driven company working at the forefront of health innovation, you will collaborate with cross-functional teams to optimize marketing strategies and fuel business growth. Key Responsibilities:<ul><li>Partner with stakeholders to frame business challenges and develop data models that inform acquisition and retention strategies.</li><li>Design and implement predictive models and marketing frameworks, analyzing customer cohorts to track KPIs such as LTV, CAC, and churn.</li><li>Create A/B testing methods to drive insights into customer behavior, optimizing marketing campaigns across digital channels.</li><li>Use data to influence marketing decisions around budget allocation, targeting, and personalization strategies.</li><li>Lead efforts to integrate advanced technologies for real-time data analysis, ensuring continuous learning and innovation.</li></ul> What We’re Looking For:<ul><li>5+ years of experience in data science or advanced analytics within consumer-driven industries.</li><li>Proven success in segmentation, predictive modeling, and retention strategies, with a focus on digital marketing channels.</li><li>Proficient in Python, SQL, and machine learning. Experience with tools like Snowflake, BigQuery, or AWS is a plus.</li><li>Able to translate complex data into impactful insights that support growth in subscription-based business models.</li><li>Ability to work in a fast-paced, collaborative environment and manage cross-functional projects.</li></ul> Why Join Us?Join a mission-driven company at the cutting edge of health science and data innovation. If you’re passionate about leveraging data to transform marketing strategies and positively impact millions of lives, apply today and be part of a rapidly growing team shaping the future of health and wellness!

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

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Data Scientist Jobs in Hayward, CA

Senior Data Scientist Machine Learning PlatformJanuary 2, 2025

Data Scientist 76797January 2, 2025

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