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The role involves analyzing large datasets to derive actionable insights and developing predictive models and machine learning algorithms. The candidate will collaborate with cross-functional teams and communicate findings to stakeholders to drive strategic initiatives.
Build and maintain scalable data architectures and pipelines to support oncology care delivery and provider incentive programs. Develop data models and BI dashboards to translate business requirements into actionable insights for internal and external stakeholders.
The role involves identifying, curating, and preparing complex chemical datasets to integrate into machine learning algorithms. You will develop featurizations and apply traditional cheminformatics techniques to accelerate drug discovery.
Design and maintain scalable data pipelines using PySpark and develop optimized Machine Learning models for predictive analytics. Integrate these models into production environments using MLOps best practices and AWS services.
Lead the development and deployment of machine learning models to power personalized digital experiences and recommendation systems. Collaborate with cross-functional partners to translate business requirements into technical solutions and mentor junior data scientists.
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Deliver end-to-end data science projects from exploration and modeling to deployment and performance tracking. Collaborate with stakeholders to translate business opportunities into data-driven solutions and support presales activities.
Lead the strategy and technical execution of marketing intelligence to optimize B2B and B2C growth. Define long-term technical roadmaps and build measurement frameworks to quantify the incremental impact of marketing spend.
Own the data science strategy for RC Capital by building underwriting and fraud detection systems from the ground up. Partner with Product and Engineering to integrate risk signals into customer flows and internal decisioning engines.
The Senior Data Scientist designs and builds advanced analytics engines using machine learning, data mining, and information retrieval techniques. They collaborate with business partners to define technical problems and integrate analytical models into scalable data products.
Lead the design and development of advanced statistical and machine learning models to improve claims outcomes and risk management. Collaborate with cross-functional teams to productionize models and provide technical guidance to data scientists and analysts.
The Tech Lead Data Scientist will define and oversee the technical methodology for evaluating, monitoring, and optimizing AI systems in production. They will provide hands-on guidance to program teams and mentor a team of data analysts to ensure rigorous validation and performance measurement.
The Senior Data Scientist leads the end-to-end lifecycle of AI and machine learning initiatives to improve healthcare outcomes and operational efficiency. They also mentor junior staff and translate complex technical findings into actionable insights for stakeholders.
The Lead Data Scientist will independently apply advanced AI and data science techniques to solve complex business problems within the Higher Education unit. They are responsible for developing scalable solutions, mentoring team members, and communicating technical insights to diverse stakeholders.
You will explore and prepare datasets while training and evaluating machine learning models under the guidance of senior scientists. Additionally, you will write and maintain production-ready Python code and contribute to the development of LLM-powered systems.
You will build, iterate, and deploy machine learning models while maintaining production pipelines and contributing to LLM-powered systems. Additionally, you will analyze large multimodal datasets to extract insights and write clean, production-quality Python code.
You will lead the technical direction for AI projects, including scoping problems, building training infrastructure, and shipping production-grade models. You are responsible for the end-to-end lifecycle of AI systems, from data curation and model selection to monitoring and debugging in production.
The Data Scientist will build predictive models and develop proprietary software tools to identify ore-forming processes and mineral deposits. They will collaborate with geoscientists to integrate complex geoscientific data and design field programs to reduce uncertainty in exploration targets.
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You will advance the capabilities of the flagship geocoding product by building complex parsing systems and innovating geolocation precision. Additionally, you will develop spatial validation loops and benchmark third-party geocoding services to ensure high data quality.
You will partner with teams to define metrics, develop experiments, and uncover insights to inform strategic decisions. Additionally, you will build machine learning-based analytical systems and tools to advance Figma's experimentation platform.
The role involves leading technical strategy and execution for data science projects while mentoring team members. It also requires developing end-to-end AI models and acting as a bridge between technical teams and business stakeholders.
You will design and execute rigorous experimental frameworks while developing predictive algorithms to optimize marketplace mechanics and auction models. Additionally, you will act as a strategic consultant to cross-functional teams to drive business impact and scale the ad platform globally.
You will contribute to the design and execution of experiments in reasoning model training and post-training alignment within financial contexts. Additionally, you will synthesize academic literature and collaborate with engineering teams to translate research findings into production systems.
You will design and execute experiments in reasoning model training and post-training alignment applied to global crypto markets. Additionally, you will synthesize academic literature and collaborate with engineering teams to translate research findings into production systems.
You will lead the design and execution of scalable experimental frameworks and marketplace mechanics for the Netflix ads business. Additionally, you will partner with cross-functional teams to drive global expansion and provide strategic insights to optimize ad platform performance.
Conduct original research in generative AI and large language models to solve crypto-native problems like market reasoning and agent alignment. Collaborate with engineers to design experiments and implement research findings into production-ready trading and analysis agents.
You will support the design and development of LLM-powered pipelines and AI application components while assisting in model evaluation and performance analysis. You will also collaborate with senior engineers to build and test prompt engineering strategies and agent workflows.
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You will build and own data infrastructure, pipelines, and warehousing while analyzing product usage to drive product decisions. Additionally, you will develop machine learning models and LLM-based systems to provide actionable insights that influence product strategy.
You will lead innovation in data science to identify guest preferences and optimize the online discovery funnel across Airbnb's business verticals. The role involves partnering with product and engineering teams to build AI-driven data products and frameworks that enhance personalized user experiences.
Design and develop systems to analyze unstructured big data to generate actionable insights for product and service enhancement. Collaborate with teams to identify analytical questions and communicate findings to business managers.
You will work on a mix of client projects and internal research initiatives to solve real-world problems using machine learning. Additionally, you will contribute to AI alignment research and build data-driven solutions that increase agency.
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