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Qualcomm
Santa Clara
**Company:** Qualcomm Atheros, Inc. **Job Area:** Engineering Group, Engineering Group > Software Engineering **General Summary:** Qualcomm Wireless and networking division is looking for highly motivated software engineers with experience in machine learning, embedded systems, compilers and cloud computing to architect and implement next generatio
Job Source: QualcommWalmart
Sunnyvale
Position Summary... What you'll do... As a Staff, Data Scientist, you will be a Technical lead on Data science projects and work with marketing stake holders to take ownership of implementation and delivery responsibilities. You will develop "intelligent" features and deliver outstanding business outcomes leveraging Machine Learning, Deep Learning
Job Source: WalmartWalmart
Sunnyvale
Position Summary... What you'll do... We are seeking an experienced Staff Data Scientist to join our Walmart eCommerce Product Analytics team. As a member of our team, you will be responsible for developing and executing data-driven strategies to improve our eCommerce product offerings and customer experience. What You'll Do Use statistical modelin
Job Source: WalmartWalmart
Sunnyvale
Position Summary... What you'll do... **Walmart's Promise and Sourcing Applied AI team** is seeking a **Staff Data Scientist** with **expertise** in **Advanced Machine Learning, Deep Learning and Reinforcement Learning** to drive the ML system and roadmap to renovate Walmart Promise and Sourcing Engine. **As a Tech Lead** , this **role** is expecte
Job Source: WalmartApple
Sunnyvale
Data Scientist Sunnyvale,California,United States Machine Learning and AI Do you have a passion for computer vision and deep learning? The Video Engineering Data Analytics and Quality (DAQ) group is looking for an experienced Data Scientist with a strong background in computer vision and machine learning to join our dynamic team. The ideal candidat
Job Source: AppleJ&J Family of Companies
Milpitas
Staff Clinical Scientist - 2406198280W **Description** Johnson & Johnson is currently seeking a Staff Clinical Research Scientist to join Surgical Vision team located in Irvine, CA, Milpitas, CA or Jacksonville, FL. At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where comple
Job Source: J&J Family of CompaniesApple
Sunnyvale
ML - Data Scientist Sunnyvale,California,United States Machine Learning and AI Do you have a passion for computer vision and deep learning? The Video Engineering Data Analytics and Quality (DAQ) group is looking for a data scientist with a strong ability to identify and communicate patterns in data and model behavior. In this role, you will collabo
Job Source: AppleMicrosoft Corporation
Mountain View
We are inviting you to join the Microsoft Advertising Data Science Team. Microsoft Advertising platform is the single stop shop for all monetization needs for Publishers and Advertisers globally. Our team manages the marketplace, which includes monitoring business metrics, defining metrics, building analytical & experimentation frameworks, and enab
Job Source: Microsoft CorporationMountain View
Overview
How should TurboTax be using causal inference and machine learning methods to make decisions across marketing, product, and business strategy? We are looking for a talented Staff Data Scientist who can lead the way in how we identify opportunities and drive major business impact with a well-rounded data science toolkit.
Being part of our cross-functional Decision Science Team means you'll be at the forefront of driving business performance. We empower our leaders, product managers, marketing managers, and analysts to make better decisions, uncover new opportunities, and shape strategy by tackling complex, high-stakes technical challenges using advanced quantitative methods, including experimental methods, causal inference, and machine learning.
As a tech lead for end-to-end causal inference and predictive modeling projects at TurboTax, you'll be instrumental in shaping our most critical decisions. This unique opportunity allows you to join as a trailblazer and redefine the application of econometrics/statistics and machine learning in a major tech company from the ground up.
What you'll bring
+ Broad influence over the Decision Science Team’s agenda and roadmap that outlines how we can use causal inference and machine learning to develop capabilities that deliver hundreds of millions of dollars of business value
+ Set the gold standard for causal inference and predictive analytics at Intuit
+ Advise and mentor other economists and data scientists on scientific best-practices and on leveraging causal inference and machine learning to deliver business value
+ Identify quasi-experimental opportunities, conduct relevant analyses, communicate results to leadership, and collaborate with leadership to turn findings into actions
+ Establish processes and systems to create scalable capabilities and robust data products rather than one-off analyses
+ Anticipate future business challenges and key questions, designing methodologies, models, and solutions to address them
+ Use state-of-the-art time series and forecasting techniques to integrate micro and aggregate data, developing reliable forecasting models that adequately convey uncertainty
+ Engineer robust machine learning pipelines that can reliably power key business processes and customer-facing applications
How you will lead
+ A bachelor's degree in Statistics, Economics, Computer Science or a related quantitative field is required. Advanced degrees, particularly a Master's or PhD in economics or statistics, are highly desirable.
+ At least 5 years of experience applying statistical / econometric and modeling skills in decision making
+ Demonstrated expertise in causal inference—including but not limited to synthetic controls, regression discontinuity, and instrumental variables—with a track record of rigorously solving problems with these methods
+ Applied experience leveraging machine learning—including but not limited to predictive forecasting, explainable ML, and end-to-end model pipeline development—to drive meaningful business impact
+ Strong track record of applying cutting-edge econometric methods within a fast-paced, dynamic environment
+ A demonstrated ability to navigate through ambiguity and deliver results that significantly impact the business
+ Excellent communication skills and the ability to work effectively with both technical and non-technical colleagues
+ Proficiency in SQL and a statistical programming language such as Python and/or R
EOE AA M/F/Vet/Disability. Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.
Email Alert for Staff Data Scientist_ jobs in Mountain View
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