Senior Data Scientist Salary at Paypal Inc BETA

Overview: At PDF Solutions, were transforming the semiconductor and electronics manufacturing industry with our AI platform that improves yield and lowers manufacturing costs at some of the largest chip makers in the world. Were seeking an experienced Data Scientist to join our team, who is responsible for developing pipelines to enable and drive production of the worlds most advanced chips. We look for people who are self-motivated and passionate about the transformative potential of AI. Youll be able to hone your skills while working side by side with industry experts who have decades of experience. The candidate must be an organized and highly motivated team player with strong initiative and communication skills, and possesses the drive to deliver quality results on time in a complex, intensive, and highly productive environment. Responsibilities: Help design, implement, and validate the ML Pipelines while collaborating with other data scientists. Coordinate and collaborate with oth

The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers. We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety o

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences- all created by our global community of developers and creators. At Roblox, we're building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device.We're on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you'll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. WHY DATA SCIENCE & ANALYTICS? The Data Science & Analytics organization's mission is to increase our speed, frequency and acumen of making decisions at scale by instilling a data-influenced approach to building products. W

**Description** Role located onsite in Fremont, CA. As an employee of Boehringer Ingelheim, you will actively contribute to the discovery, development, and delivery of our products to our patients and customers. Our global presence provides opportunity for all employees to collaborate internationally, offering visibility and opportunity to directly contribute to the companies' success. We realize that our strength and competitive advantage lie with our people. We support our employees in several ways to foster a healthy working environment, meaningful work, diversity and inclusion, mobility, networking, and work-life balance. Our competitive compensation and benefit programs reflect Boehringer Ingelheim's high regard for our employees. The Senior Data Scientist will execute data science projects at US Biopharma Fremont with the purpose of solving non-routine business problems by applying advanced methods including artificial intelligence, machine learning, causal inference, advanced st

•8+ years of relevant industry work experience in data-driven projects with a well-rounded understanding of statistical fundamentals learning •Proficiency with Python and data science libraries (Pandas, NumPy, SciPy, Scikit-Learn, etc.) •Experience producing meaningful visualizations/dashboards/presentations to cross-functional teams •Understanding and exposure to the different levels of the data science cycle (definition, collection, preparation, extraction, analysis, modeling, and deployment) •Experience with Object Oriented Programming (OOP) concepts & scalable software design principles Salary Range : $89,100-$150,000 a year #LI-AS3

As a technology innovation leadership team in the fast-growing OPPO Research Center, we are looking for talented Data Scientists to join our Research and Development team. In this position, you will play a crucial role in optimizing the user experience of our AI products and addressing significant business challenges in user growth and recommender systems. Improving user experience is a top priority for our company. If you're passionate about applying your expertise in data science, statistics, and causal inference to improve user experience and growth, and are eager to work in a fast-paced, innovative environment, this role is great for you. Requirements Key Responsibilities: Gathering, analyzing, and interpreting data to deliver data-informed insights and solutions for business problems in a wide range of decision-making situations including AI product design and improvement, user growth, recommender system, and targeted ads. Working closely with AI product managers and engineers to

Waymo is an autonomous driving technology company with the mission to be the most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo One, a fully autonomous ride-hailing service, and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over one million rider-only trips, enabled by its experience autonomously driving tens of millions of miles on public roads and tens of billions in simulation across 13+ U.S. states. Data, machine learning, and statistical models help build the Waymo Driver and in evaluating its performance. Waymo data scientists work with engineering to confirm reasoning and validation about data and models in our production systems. We develop metrics and experimental designs that capture

#DS-AVN Our client, a pioneer in reshaping consumer credit using innovative technology, is committed to reducing capital costs. They strongly believe in universal access to capital, crucial in today's capital-based economy, with over $1 trillion in unsecured credit card revolving balances. The journey of credit cards since the '60s, culminating in balances exceeding $1 trillion in 50 years, reveals the existing challenges. Unsecured credit, despite its efficiency in quick underwriting and access to capital in 1-3 days, comes at a high cost (15-25% APR). Conversely, secured capital involves high origination costs and prolonged processes (weeks in underwriting, months for access) but offers cheaper rates (<10% APR). Innovating the credit landscape, our client introduced a new asset-backed credit card, securing equity in homes, cars, and other assets. This innovation allows them to offer remarkably low APRs to consumers. Their flagship product boasts the world's lowest APR credit card, ai