Lead and scale the data science function, building a high-impact team that drives data-driven decision-making, AI-powered optimization, and business intelligence across the company. Work cross-functionally with Product, Engineering, and Business teams to develop models that enhance pricing, personalization, fraud detection, and operational efficiency. Define and execute the vision and roadmap for Data Science at Engine.
Join the Data Engineering team to design, build, and scale AI-driven features at Filigran. The mission involves transforming real-world security problems into intelligent product capabilities. Responsibilities include designing ML models, maintaining AI/ML pipelines, and collaborating with engineers to integrate into open-source platforms.
Work at the intersection of data science and software engineering, collaborating directly with customers and their data. Derive meaningful insights from large amounts of data, comfortable running data assessments or building ML-based scoring models. Customer obsessions is your north star as you dive deep into problems and propose novel solutions, also identify and participate in important company-building initiatives.
As a Data Scientist at ResearchGate, you will unlock the value in our data assets by developing Machine Learning models and data-intensive systems. Your work will enable scientists in ResearchGate’s network by keeping them in touch with the latest work in their fields and protect the health of the scientific community by providing tools to foster collaboration and detect fraud.
As a member of our Data AI/ML team, you'll be at the forefront of our AI & Machine Learning initiatives. This is your chance to empower our product, business and engineering teams to leverage AI on a daily basis. You'll play a pivotal role in enhancing Zapier’s machine learning & AI tooling capabilities and influencing the way we build products using these tools. Your expertise will provide invaluable technical mentorship and assistance in scaling our use of AI/ML across the company.
Design, develop, and deploy machine learning models that optimize pricing for thousands of products daily. Own the full ML pipeline—data wrangling, feature engineering, model development, deployment, monitoring, and continuous improvement. Partner with e-commerce experts to understand key drivers of revenue, conversion, and pricing dynamics.
Design and build breakthrough approaches and solutions for clients using clinical trial data. As a Senior Data Scientist, you will take ownership for the design, implementation, and support of AI-enabled products for the company’s elluminate software platform. You will need strong analytical and technical skills in classical machine learning (ML), deep learning (DL), and large language models (LLMs). You will work in close collaboration with the company’s business clients and internal stakeholders, including the product and engineering teams. You will also serve as a mentor to other team members as we build AI-enabled products that enhance the experience and efficiency of elluminate users using structured and unstructured clinical trial data.
We are looking for an AI Researcher to investigate, design, test and develop state of the art (SOTA) methods and applications, which can be integrated into the broader AI engine FirstPrinciples is developing. You will collaborate with cross-functional teams and your work will flow straight into production, helping advance the way scientific research is performed.
This is a part-time role within the Brain Team, responsible for generating and improving waste imagery datasets and developing ML models. As an AI Data QC Technician, you will review and correct annotated waste characterization data to improve AI performance in mission-critical applications and new verticals. Your work will involve becoming an expert in industrial sortation and recommending improvements for data cleanup.
Manage the AI and Machine Learning vision, strategy, and implementation across the enterprise. Manage a team of highly skilled data scientists capable of evolving the quality and sophistication of AI/ML models and insights across the enterprise. Maintain the competitive advantage through research and development activities.