Global Visionary Sponsors
As a company for whom data sciences are foundational, Facebook is thrilled to continue our sponsorship of WiDS in 2021. The mission of WiDS is quite complementary to our core values – we are committed to diversity and inclusion because we appreciate how crucial a diverse workforce is to having a supportive culture for our employees and for building products that are globally relevant.
We are fortunate to have many senior women in the ranks of our Data and Engineering organizations, and we continue to look for ways to foster “data talent” both inside and outside of Facebook. As part of this initiative, we aim to support the full pipeline of future women in data, and we are especially excited to partner with WiDS in inspiring young students to study analytical disciplines. Data opportunities at Facebook span computational social science, econometrics, operations research, market intelligence, survey science, and statistical computing; some examples of the interesting work we have for data people includes making our products easier and more intuitive to use, finding ways to better facilitate social interactions, and leveraging machine learning to help businesses find information on how best to use our platforms.
For more information, please see data and analytics careers at Facebook.
“Intuit is delighted to be a WiDS Global Visionary sponsor again in 2021 and I’m honored to serve as a WiDS Worldwide Ambassador for the third year in a row,” says Kavita Sangwan, Director of Technical Programs for AI and Machine Learning at Intuit.
We know from firsthand experience that representing the rich make-up of our consumer, self-employed and small business customers within our company is a key to delivering awesome customer experiences. As the proud maker of TurboTax, QuickBooks and Mint, Intuit remains steadfastly committed to building a diverse data science organization for a diverse world.
That’s why we’re expanding the scope of our WiDS engagement in 2021. Our Intuit Israel Data Science Group Manager, Shir Lador, will appear alongside a stellar line-up of women in data science at the WiDS Worldwide event (main stage panel discussion) and we’re hosting WiDS events in Israel and Bengaluru.
As a founding partner for WiDS at Stanford, Walmart is honored to continue our support for the fifth annual WiDS Conference. Just as WiDS has grown from a small conference on the Stanford Campus to this world-wide virtual event, so has our participation. Our technical leaders have been ongoing members of the WiDS Conference Committee, work behind the scenes on the WiDS Datathon, and serve as ambassador in India. Our large contingent of women data scientist participate as attendees and presenters, as well as recruiting great talent!
To the women (and men!) attending WiDS, we invite you to imagine working in an environment where one line of code can make life easier for hundreds of millions of people and put a smile on their face. That is what we do at Walmart Global Tech. We are a team of 15,000+ software engineers, data scientists and service professionals within Walmart, the world’s largest retailer, delivering innovations that improve how our customers shop and empower our 2.2 million associates. To others, innovation looks like an app, service, or some code, but Walmart has always been about people. People are why we innovate, and people power our innovations. Being human led is our true
Want an idea of what our 1,000+ Data Scientists do?
Look at these recent real-world examples:
Weekday Demand Sensing for Weekly Forecasting Models
Grocery Item’s Nil Pick prediction using a Machine Learning Model
Deep learning for fraud detection in retail transactions
You can also read more articles by our technologists.
Walmart Global Tech is powering the next great retail disruption – learn more about us and check out our current career openings:
Wells Fargo Technology continues to build strategic external relationships as a commitment to advanced technology partnerships. These technology partnerships with research institutions and universities help us engage with, research, and implement revolutionary and innovative technologies in our environments. Together, Ravi Radhakrishnan, CIO and Head of Commercial and Corporate & Investment Banking Technology and Peter Tsahalis, Head of Strategic Services & Advanced Technology lead this strategic collaboration opportunity with Stanford University.
Peter shared, “The partnerships we curate through Academia and Industry relationships are all about expanding our diversity of thought. It’s both practical and rewarding for our team to work this way as we explore emerging technologies in idea-rich environments filled with thought leaders from across the globe. Our collaborations drive innovation for new technologies that benefits both our customers and employees.”
Key to the Wells Fargo advanced technology strategy is the multi-channel partnership with Stanford University. Aligned to our investments in data ideation and development, Wells Fargo has been a sponsor of the WiDS Worldwide initiative for many years. As champions of women in technology we see WiDS participation as a cutting-edge roundtable, providing a deep dive into data science implementation and exploration
Catherine Li, key WiDS Wells Fargo champion and data technologist leader shared, ”The groundbreaking research that WiDS actions is unique in the industry. Our collaboration with Stanford ICME, and our ability to participate in some of the numerous, enriching events inclusive of the WiDS Conference and Datathon, provides an impactful forum for women engineers at all levels”.
Innovation Leader Sponsors
IBM is a long standing supporter of WiDS. Not only is diversity embedded in IBM's corporate culture, IBM actively supports its employees to engage in community initiatives for the good of people and planet. Our global programs include leading the tech industry on AI Ethics, AI Education, and technology for good (Call for Code). IBM has hundreds of women in data science globally.
Check out IBM’s latest research topics in AI with ground-breaking initiatives across numerous industries for diversity, the climate, healthcare, and more. Take advantage of IBM’s learning resources on the IBM Data Science Community, Coursera courses, and IBM introductory courses on data science and AI.
Data science is at the heart of GM’s journey to help create a future that is safe, equitable and all-electric. Investing in the development of this talented workforce is critical, and that’s why we’re proud to support Stanford University's Global Women In Data Science Conference. As WiDS Ambassadors, we’re hosting a free virtual event on March 8, 2021 in honor of International Women’s Day and invite you to join us. Learn more and register.
General Motors aspires to be the most inclusive company in the world, and we are currently hiring to build our data and analytics teams. It’s time to do the best work of your career, no matter where you work, as we embrace remote opportunities for certain roles. Join us on our journey to a zero emissions future.
Google is proud to support the Women in Data Science (WiDS) Worldwide conference and its aim to support women in the field. This is vital to data science’s strength. Within Google, communities of women in the field support each other’s growth across the company’s products and business solutions.
From a business perspective, data scientists are trusted by the leaders of Google's customers to help advance the maturity of their data-driven marketing strategies and operations. Google’s capabilities in advanced measurement, creative excellence and privacy-first personalization are driven by data science initiatives. We develop and use platforms familiar to data scientists worldwide such as Google Cloud’s AI and ML products, and our data scientists intersect with exceptional engineers globally in their work. Helping private, public and nonprofit customers through their digital transformations is a key challenge of our times, with data scientists at the center as customers use Google’s Search, YouTube, Shopping and other platform datasets.
Opportunities for the WiDS community can be found here: career openings
MathWorks is the leading developer of mathematical computing software. Its MATLAB and Simulink product families are used by engineers and scientists worldwide to accelerate the pace of discovery, innovation, and development. MATLAB and Simulink are used throughout the automotive, aerospace, communications, electronics, and industrial automation industries as fundamental tools for research and development. The company’s solutions for AI and data science are used for industrial applications such as predictive maintenance, automated driving, robotics, IoT, and digital twins.
Over the past few years, MathWorks has participated in several WiDS satellite conferences in the forms of talks, panel discussions, and hands-on workshops led by women engineers holding senior positions in development and field sales. By sponsoring WiDS, MathWorks aims to further support the data science and AI community, focus on teaching and learning for aspiring women engineers and scientists, and expose them to more opportunities in STEM fields.
MathWorks is always looking to recruit in the area of AI and data science; for opportunities and more information, please visit our careers page.
Microsoft’s mission is deeply inclusive: empower every person and every organization on the planet to achieve more. We believe in the transformative power of engaging many different perspectives. Guided by a commitment to building diverse communities, Microsoft is intentional in supporting environments and programs where people with diverse backgrounds are excited to do their best work. We are excited and proud to sponsor the WiDS conference to help grow the WiDS movement that inspires and educates data scientists worldwide, regardless of gender, and to support women in the field.
Microsoft closely tracks and publishes its diversity and inclusion progress, and has made available to the data science community several learning paths, certification, open research and public datasets, and cloud credits for students. Microsoft is also at the leading edge of research & deployment of very large scale deep learning models, A/B experimentation and metrics design, and application of state of the art AI across consumer and enterprise products. Browse our research resources, and career opportunities for students and industry professionals. In addition, Microsoft is pleased to partner with WiDS datathon, and Mary Gray, Senior Principal Researcher at Microsoft research and 2020 MacArthur fellow will be speaking at the conference on the panel Globalization and Democratization of Data.
Christian Hecker, Global VP Chief Data & Analytics Officer at SAP:
As a leading software provider and digitalization champion, data-driven steering is an integral part of SAP's DNA and forms the backbone of our day-to-day business. As Chief Data and Analytics Officer, I'm proud to be leading the Data & Analytics organization of a company that has always believed in the power of diversity and collaboration.
Dr. Karina Edmonds, Global Lead for SAP Academies & University Alliances:
In line with SAP‘s long history advocating for ethical AI, social inclusion and equality, we prioritize the importance of a diverse developer community to capture the full breadth of human experiences and perspectives into our solutions.
Striving for full representation through inclusion becomes especially important in the rapidly growing field of data science and AI, and we believe it our imperative to actively engage in the societal challenges this development poses for our time.
We at SAP are proud to leverage our expertise across generations in the rapidly growing field of data science and analytics to design a more fair and equal society for all – especially by inspiring and encouraging talented female students to pursue a career in the area of data science.
Learn more about SAP’s commitment to ethical AI
Learn more about SAP University Alliances
This year again, Total is a sponsor of the WiDS conference because we trust that diversity is a key for a sustainable transformation in data science and digital.
Total is rich in data: in our industrial and commercial activities, where data science is used to optimize operations, but also in activities related to renewables or mobility: solar farms, wind farms, batteries or electric vehicles are formidable data suppliers. As an example: we manage tens of millions of sensors data (oil & gas platforms, refineries, renewables and electricity activities) - 15Po seismic data archive - 10 million referenced customers (stations, electricity, etc.) As a result, 80% of the cases handled by Digital factory (Digital factory produces 40-50 products per year) are based on the group's historical data, and more than 50% of the use cases under development in the Digital factory use advanced learning machines.
Total Digital Factory is growing rapidly. The workforce will be stabilized at around 300 people this year. The data team, which provides data management, data science, machine learning and MLOps skills, represents around 10% of the workforce and there are still many jobs to be filled. For the moment, the man/woman ratio of the data team is almost 50%, and we would like to maintain it because it is a real strength.
Join us and tackle the energy challenges of tomorrow using data.
Stanford Data Science weaves data science research and methods into the university's fabric, giving faculty and students the tools, skills, and understanding they need to do the cutting-edge research that will drive 21st-century scholarship and education. Stanford Data Science contributes to research by enabling faculty to take on some of the world’s most vexing research questions - giving them a place where they can find data science support and collaboration. They work with scholars who are not only advancing the field of data science itself, but also colleagues who study the ethical issues related to data collection and use; how to properly use data to solve these problems; and how to interpret the results in a way that considers bias, statistical variability and causation.
Learn more about SDS initiatives, centers and researchers – and sign up for the quarterly Newsletter.
The Mobilize Center was created with the vision of enabling the research community to use mobile technology, such as 2-D video and wearable sensors, and other large-scale datasets to:
Our data-sharing hubs will be a central resource for those developing new algorithms and digital biomarkers. And we will establish partnerships to drive our software and program development, thus ensuring that the Center addresses the pressing needs of the biomedical research community.
The Mobilize Center is based at Stanford University and is a Biomedical Technology Resource Center (BTRC) funded through the National Institute of Biomedical Imaging and Bioengineering of the National Institutes of Health (NIH). Building on its foundations as an NIH Big Data to Knowledge Center of Excellence, the Center’s innovative technologies will transform research and the diagnosis, monitoring, and treatment of mobility disorders.
Computational mathematics is at the heart of many engineering and science disciplines and has grown into a strong and exciting interdisciplinary field of research. Stanford has offered MS and PhD degrees in computational mathematics for over 30 years, with ICME offering those degrees since 1994.
We do Big Math.
In ICME, we conduct groundbreaking research, train and advise our graduate students, provide consulting, and teach over 60 courses in computational mathematics and scientific computing at both the undergraduate and graduate level to the Stanford community. ICME has a holistic approach to providing graduate students the course work, research opportunities, support, and professional development to better prepare them for their careers in scientific computing. The Institute is a home at Stanford for an increasingly critical multidisciplinary field that uses advanced mathematical and computing capabilities to understand and solve big, complex problems.
ICME also offers an Affiliate Program for industry and government partners to engage with students and faculty throughout the year in an innovation ecosystem.
We hope to see you online at the conference! Early bird prices end February 19th. Register today.