Position Summary... What you'll do... ** Please note Immigration Support is not provided for this role .** Walmart Global Tech is seeking a highly skilled Full Stack Staff Data Scientist to lead the development and deployment of large-scale AI algorithms within our Transportation Applied AI team. As a science tech lead, you will drive innovation, cost optimization, and data-driven automation for Walmart's transportation system using deep reinforcement learning, operations research, and machine learning. About Team : The Transportation Applied AI team is a highly motivated group of AI scientists and machine learning engineers dedicated to solving sophisticated and high-impact problems that power Walmart's transportation network end-to-end from vendors to stores. We leverage advanced algorithms in operations research, deep reinforcement learning, economics (market design), and machine learning to tackle challenging problems like Inbound/Outbound routing, truck load optimization, freight pricing and matching, and workload dispatching. What you'll do : <ul><li> Lead the design, development, and deployment of complex AI models using state-of-the-art algorithms, with the consideration of optimality and computational complexity. </li><li> Collaborate closely with cross-functional teams to understand transportation business objectives, requirements, and constraints. </li><li> Mentor and guide other data scientists in the team. </li><li> Research and explore the latest trends in machine learning and optimization techniques to develop solutions for complex business problems. </li><li> Conduct thorough code reviews to ensure engineering excellence. </li> </ul> What you'll bring : <ul><li> Ph.D. degree in Statistics, Operations Research, Computer Science, Economics, Machine Learning, AI, or other quantitative fields with 4+ years of experience; or Master's degree in the same domains with 7+ years of experience post-grad school. </li><li> Deep knowledge in deep reinforcement learning, stochastic optimization, statistics, and machine learning. </li><li> Hands-on development experience with the ability to write production code in object-oriented languages like Java, C++, or Python. </li><li> Proven track record of building and deploying algorithms/models in production in a real-world setting. </li><li> Experience with large-scale data systems (Spark/Hive) and cloud computing (GCP/Azure). </li><li> Demonstrated ability to drive projects from conception to completion in a fast-paced, dynamic environment. </li><li> Excellent communication and leadership skills with the ability to influence and inspire cross-functional teams. </li><li> Experience in multi-agent systems is plus. </li><li> Experience in forecasting, ranking algorithms, causal ML and experimentation is a plus. </li><li> Knowledge of supply chain and transportation operation is a plus. </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 $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 4 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 years' experience in an analytics or related field Preferred Qualifications... 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), 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... ** Please note that Immigration Support is not provided for this role .** Walmart is seeking a highly skilled Staff Data Scientist with a strong background in Machine Learning, Statistics, and Personalization algorithms to join our Personalization team. With expertise in deep learning, designing and deploying highly scalable Recommenders Systems for e-commerce, you'll play a critical role in driving innovation and growth for our company. The Personalization team consists of platform, application engineers, scientists and product visionaries all working together to design, prototype and build technology-driven products and experiences that will change the future landscape of e-commerce. We are focused on building the global service layer that will enable the end-to-end customer experience, from finding the product to delivering it to the customer. This will span many markets, business models and form factors; therefore, we are looking for data scientists who will bring not only the experiences in technologies, but the curiosity and capability to innovate. Come join an organization where you'll get to work as part of a world-class team, solve problems that are at a scale few can create, and get to build products that are only bound by the scope of your imagination. Put your footprint on ground up development focused on building brand new products that will impact a Global customer base! 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>Research, design, and implement data models and cutting edge algorithms on high-dimensional, fast-moving, unstructured and structured data. </li><li>Process complicated and large scale datasets using distributed computing platform, extract insights from data, predict future trends, and optimize towards business metrics. </li><li>Build advanced feature extraction algorithms that feed into various advertising applications, including audience targeting, relevance and ranking, measurement and optimization. </li><li>Build machine learning and statistical models to predict or estimate key signals that are used to optimize advertising product performance. </li><li>Run large scale statistical A/B testing to evaluate performance of machine learning and statistical models in advertising applications which serve hundreds of millions of impressions per day. </li><li>Build compelling data visualizations and interactive dashboards for monitoring and sharing business insights internally and externally. </li></ul> What you'll brin g: <ul><li>Master's degree/PHD in Data science, Computer Science or related fields with 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. Walmart's culture is a competitive advantage, and it's fostered by being together. Working together in person allows us to collaborate, align quickly and innovate with greater speed. We use our campuses to create purposeful connection rooted in deepening understanding and investing in the development of our associates. Our hubs : Walmart is a global company with offices across the United States and around the world. Our global headquarters is in Bentonville, Arkansas, with primary hubs in the San Francisco Bay area and New York/New Jersey. 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 4 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 years' experience in an analytics or related field Preferred Qualifications... 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), 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

Staff Engineer, Full-Stack Data Scientist Full-time
Job Type (exemption status): Exempt position - Please see related compensation & benefits details below
Salary Range: 126,935.60-179,800.00
Business Function: Data Science
At Western Digital, we are on a mission to unlock the potential of data so people, companies and organizations everywhere can create what’s next. To fulfill our vision, we are always on the lookout for potential team members who share our passion for solving problems to empower others.
The Design Enablement & Automation team is seeking an experienced full-stack data scientist with strong software engineering, AI and Machine Learning skills to develop data-driven automation tools for improving business and engineering efficiency. You will be involved in all aspects in the solution development process: from data collection, to exploratory data analysis, to deploying machine learning models, data visualizations and generative AI agents to production environments.
ESSENTIAL DUTIES AND RESPONSIBILITIES:
Implementing, training, fine-tuning and deploying AI/ML models and generative AI assistants
Setting up automated data pipelines to convert raw logs into structured data sources
Analyzing and verifying data across multiple big data sources
Creating interactive web-based data visualizations
Collaborating with cross-functional teams to understand requirements and deliver data-driven solutions
Proposing and developing new features and enhancements for existing applications
REQUIRED:
Bachelor's Degree in Computer Science, Software Engineering, Applied Statistics or equivalent
2+ years of AI/ML development experience
Strong problem-solving skills and is detail-oriented
Knowledgeable in data science, machine learning, natural language processing and statistics concepts
Comfortable working with data across the full data pipeline, including ingestion, preprocessing, exploratory data analysis, feature engineering, model training, evaluation, and deployment
Exceptional written and verbal communication skills
Interest in flash, semiconductor, non-volatile memory industry
PREFERRED:
Masters or PhD candidate in Computer Science, Software Engineering, Applied Statistics or equivalent
Experience with using the following technologies: Python: Jupyter, Apache Spark, Pandas, scikit-learn, pytorch, and other data science libraries
JavaScript: node.js, d3.js, React
Database: MySQL, MongoDB
Containerization: Docker, Kubernetes
Unix-based environments and shell scripting
Cloud environments such as Amazon Web Services

Hands-on experience with git, Jenkins, JIRA, Confluence, and other software development tools
Experience in EDA / semiconductor industry is a plus
Knowledge in physical design, design verification or emulation is a plus
Western Digital is committed to providing equal opportunities to all applicants and employees and will not discriminate against any applicant or employee based on their race, color, ancestry, religion, sex, gender, age, national origin, sexual orientation, medical condition, marital status, physical disability, mental disability, genetic information, military and veteran status, or other legally protected characteristics.
Western Digital thrives on the power and potential of diversity. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.
Based on our experience, we anticipate that the application deadline will be 02/04/2025 (3 months from posting), although we reserve the right to close the application process sooner if we hire an applicant for this position before the application deadline.
Compensation & Benefits Details
An employee’s pay position within the salary range may be based on several factors including but not limited to education, qualifications, certifications, experience, skills, ability, knowledge of the job, performance, contribution and results, geographic location, shift, internal and external equity, and business and organizational needs.
You will be eligible to participate in Western Digital’s Short-Term Incentive (STI) Plan, which provides incentive awards based on Company and individual performance.
We offer a comprehensive package of benefits including paid vacation time; paid sick leave; medical/dental/vision insurance; life, accident and disability insurance; tax-advantaged flexible spending and health savings accounts; employee assistance program; other voluntary benefit programs; tuition reimbursement; transit; and the Western Digital Savings 401(k) Plan.

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Job Description

The Design Enablement & Automation team is seeking an experienced full-stack data scientist with strong software engineering, AI and Machine Learning skills to develop data-driven automation tools for improving business and engineering efficiency. You will be involved in all aspects in the solution development process: from data collection, to exploratory data analysis, to deploying machine learning models, data visualizations and generative AI agents to production environments.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

Implementing, training, fine-tuning and deploying AI/ML models and generative AI assistants

Setting up automated data pipelines to convert raw logs into structured data sources

Analyzing and verifying data across multiple big data sources

Creating interactive web-based data visualizations

Collaborating with cross-functional teams to understand requirements and deliver data-driven solutions

Proposing and developing new features and enhancements for existing applications

Position Summary... What you'll do... Data Strategy: Understands, articulates, and applies principles of the defined strategy to routine business problems that involve a single function.Data Source Identification: Supports the understanding of the priority order of requirements and service level agreements. Helps identify the most suitable source for data that is fit for purpose. Performs initial data quality checks on extracted data.Applied Business Acumen: Provides recommendations to business stakeholders to solve complex business issues. Develops business cases for projects with a projected return on investment or cost savings. Translates business requirements into projects, activities, and tasks and aligns to overall business strategy. Serves as an interpreter and conduit to connect business needs with tangible solutions and results. Recommends new processes and ways of working.Model Assessment & Validation: Identifies the model evaluation metrics. Applies best practice techniques for model testing and tuning to assess accuracy, fit, validity, and robustness for multi-stage models and model ensembles.Data Visualization: Generates appropriate graphical representations of data and model outcomes. Understands customer requirements to design appropriate data representation for multiple data sets. Work with User Experience designers and User Interface engineers as required to build front end applications. Presents to and influences the team and business audience using the appropriate frameworks and conveys clear messages through business and stakeholder understanding. Customize communication style based on stakeholder under guidance, and leverages rational arguments. Guide and mentor junior associates on story types, structures, and techniques based on context.Problem Formulation: Translates business problems within one's discipline to data related or mathematical solutions. Identifies what methods (for example, analytics, big data analytics, automation) would provide a solution for the problem. Shares use cases and gives examples to demonstrate how the method would solve the business problem.Analytical Modeling: Selects appropriate modeling techniques for complex problems with large scale, multiple structured and unstructured data sets. Selects and develops variables and features iteratively based on model responses in collaboration with the business. Conducts exploratory data analysis activities (for example, basic statistical analysis, hypothesis testing, statistical inferences) on available data. Identifies dimensions and designs of experiments and creates test and learn frameworks. Interprets data to identify trends to go across future data sets. Creates continuous, online model learning along with iterative model enhancements. Develops newer techniques (for example, advanced machine learning algorithms, auto ML) by leveraging the latest trends in machine learning, artificial intelligence to train algorithms to apply models to new data sets. Guides the team on feature engineering, experimentation, and advanced modeling techniques to be used for complex problems with unstructured and multiple data sets (for example, streaming data, raw text data).Model Deployment & Scaling: Deploys models to production. Continuously logs and tracks model behavior once it is deployed against the defined metrics. Identifies model parameters which may need modifications depending on scale of deployment.Code Development & Testing: Writes code to develop the required solution and application features by determining the appropriate programming language and leveraging business, technical, and data requirements. Creates test cases to review and validate the proposed solution design. Creates proofs of concept. Tests the code using the appropriate testing approach. Deploys software to production servers. Contributes code documentation, maintains playbooks, and provides timely progress updates.Drives the execution of multiple business plans and projects by identifying customer and operational needs; developing and communicating business plans and priorities; removing barriers and obstacles that impact performance; providing resources; identifying performance standards; measuring progress and adjusting performance accordingly; developing contingency plans; and demonstrating adaptability and supporting continuous learning.Promotes and supports company policies, procedures, mission, values, and standards of ethics and integrity by training and providing direction to others in their use and application; ensuring compliance with them; and utilizing and supporting the Open Door Policy.Ensures business needs are being met by evaluating the ongoing effectiveness of current plans, programs, and initiatives; consulting with business partners, managers, co-workers, or other key stakeholders; soliciting, evaluating, and applying suggestions for improving efficiency and cost- effectiveness; and participating in and supporting community outreach events. Live our Values Culture Champion Models the Walmart values to foster our culture; holds oneself and others accountable; and supports Walmart's commitment to communities, social justice, corporate social responsibility, and sustainability; maintains and promotes the highest standards of integrity, ethics and compliance. Servant Leadership Acts as an altruistic servant leader and is consistently humble, self-aware, honest, and transparent. Embrace Change Curiosity & Courage Demonstrates curiosity and a growth mindset; fosters an environment that supports learning, innovation, and intelligent risk-taking; and exhibits resilience in the face of setbacks. Digital Transformation & Change Seeks and implements continuous improvements and encourages the team to leverage new digital tools and ways of working. Deliver for the Customer Customer Focus Delivers expected business results while putting the customer first and consistently applying an omni-merchant mindset and the EDLP and EDLC business models to all plans. Strategic Thinking Adopts a holistic perspective that considers data, analytics, customer insights, and different parts of the business when making plans and shaping the team's strategy. Focus on our Associates Diversity, Equity & Inclusion Identifies, attracts, and retains diverse and inclusive team members; builds a high-performing team; embraces diversity in all its forms; and actively supports diversity goal programs. Collaboration & Influence Builds strong and trusting relationships with team members and business partners; works collaboratively and cross-functionally to achieve objectives; and communicates with energy and positivity to motivate, influence, and inspire commitment and action. Talent Management Creates a discipline and focus around developing talent, promotes an environment allowing everyone to bring their best selves to work, empowers associates and partners to act in the best interest of the customer and company, and regularly recognizes others' contributions and accomplishments. 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 $116,900.00-$217,100.00 ? Additional compensation includes annual or quarterly performance bonuses. ? Additional compensation for certain positions may also include: ? - Regional Pay Zone (RPZ) (based on location) ? - 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 4 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 years' experience in an analytics or related field. Preferred Qualifications... 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

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Data Scientist Jobs in Milpitas, CA

Staff Data Scientist Transportation Ai SunnyvaleNovember 17, 2024

Staff Engineer Fullstack Data ScientistNovember 15, 2024

Staff Data Scientist Personalization Item Recommendation BackgroundNovember 14, 2024

Staff Engineer Fullstack Data ScientistNovember 9, 2024

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Usa Staff Data ScientistOctober 23, 2024