Work on various machine learning challenges to build systems and machine learning models to improve the experience for both Pinners and creators on Pinterest at scale. Apply the latest advances in deep learning and machine learning to personalize Pinterest users’ experience. Develop new features to improve Pinterest’s user and pin understanding in models.
Play a pivotal role in shaping the future of machine learning capabilities. Influence strategy, mentor teams, and drive measurable improvements in fraud detection systems. Solve critical challenges in model performance measurement, accelerate experimentation, and pioneer new ML technologies to stay ahead of evolving fraud tactics.
Critical projects will focus on data-driven insights to guide product development and business direction. You'll collaborate with leadership, product, data, and engineering teams to identify, define, and launch strategic and operational data science initiatives to improve Houzz Pro product offerings. You will design product experiments, interpret results, and conduct root cause analysis.
As the Principal Data Scientist, you’ll spearhead our data science initiatives—designing and deploying advanced machine-learning and statistical solutions. You’ll mentor a growing team of data scientists, set the strategic vision for modeling efforts, and ensure our algorithms deliver real business value for Spring & Bond and our clients.
Focus will be on analytical tools development, working with engineers and data scientists around the company to improve the usability of the take-up and loan cashflow models. Engage with other stakeholders around Affirm to tailor models to the needs of Merchant Pricing, Credit, Applied Machine Learning, Finance, and other stakeholders. The ideal candidate will have strong analytical and problem solving skills with solid knowledge of analytical tools.
Help improve personalization experiences by integrating and optimizing pioneering generative AI technologies into recommender systems. Join an interdisciplinary team at the forefront of Spotify's technology and help ensure foundational technologies exceed the state of the art, actively redefining the field through published research. You'll participate in groundbreaking research at the intersection of artificial intelligence, machine learning and economics with a focus on large-scale solutions to optimize recommender systems.
The Data Science Intern role bridges the gap between data science and software development, offering an opportunity to contribute to the design, training, and deployment of advanced deep learning models. The team’s primary focus is on data classification: categorizing the contents of diverse data sources, including database tables, semi-structured data, and text, to detect data with special security and privacy requirements. The successful applicant will contribute to a central feature of a new workflow automation platform with applications in healthcare, higher education, and beyond. This is a remote position, with occasional in-person meetings.
The Data Scientist II - FI Solutions plays a crucial role in delivering our solutions today and will play a more prominent role in our future. At Vericast, our data science projects have strong foundations on machine learning, data engineering, and modeling. The Data Scientist II - FI Solutions is passionate about using cutting edge technology and data science methods to solve unique and complex problems within the Financial Services industry.
As a Data Engineer Azure, you will be an expert in the design and implementation of sophisticated Azure-based data solutions in hybrid and cloud-only scenarios. You will also be a technical consultant for our customers, navigating them on their individual data project journey. The role involves developing data pipelines and learning algorithms, data migrations, and the integration of AI and machine learning to automate processes.
We’re looking for a data science leader to guide and grow a high-impact team focused on Mozilla’s expanding portfolio of monetized products and services. This role is central to shaping a monetization strategy that aligns with our core values - protecting user privacy, delivering meaningful value to users, and ensuring the long-term financial health of Mozilla.