The Data Scientist will independently develop and lead projects focused on information extraction from documents, working within the Product Impact group to build a key database of environmental product declarations and product category rules, designing and maintaining algorithms and models for information extraction ensuring the integrity of extracted data.

You will become a core contributor with machine learning expertise on the credit risk team and deliver results that directly impact our business. Build industry-leading machine learning models for managing credit and fraud risks. Leverage multiple complex data sources such as credit bureau reports to optimize decisions.

Help build out a suite of end-to-end modeling pipelines to produce high-quality estimates of message effectiveness. Improve pipeline reliability, data quality checks, and model diagnostics to increase confidence in our modeling outputs. Deliver actionable guidance to important internal stakeholders, helping them understand nuances of the model output.

The AI & Frontier Model Scientist will spearhead our data science initiatives and drive innovations in data and AI. This role will work across departments to harness the power of big data and machine learning, ensuring that our software remains at the cutting edge. This position will report to the EVP, Technology.

You will play a critical role in understanding and optimizing the dynamics of the world’s largest work marketplace. Your expertise in data science will help shape strategic executive-level decisions across Supply and Demand dynamics, Macroeconomic and Generative AI influences, Customer behavior / segmentation / lifetime value, and Marketplace efficiency.

As Head of Data, cultivate a high-performing data organization spanning Data Science & Data Analytics, lead data scientists to develop machine-learned solutions, and provide proactive strategic insights to influence Lime’s products and operations. Enable self-service for technical product managers and engineers.

Join Samsara as a Senior Data Science and Analytics Manager in our Marketing Analytics and Data Science team. Develop predictive models, automate insights, and shape go-to-market strategy with cutting-edge analytics. Collaborate with Marketing, Sales, and Data Engineering to unlock insights and scale marketing intelligence through advanced analytics.

As Head of Data and Analytics, you'll develop and execute the organizational strategy for a centralized team. Your responsibilities include driving enterprise analytics, ensuring high-quality insights, and collaborating with various teams to deliver accurate insights that enhance ability to scale and elevate solutions.

The Data Scientist will be embedded within Wealthfront’s Investing area, enabling clients to confidently grow, preserve, and manage their wealth. Responsibilities include formulating project plans, employing mathematical rigor, collaborating with stakeholders, interpreting statistical results, and automating repetitive manual work.

Drive the development and implementation of cutting-edge machine learning algorithms and train sophisticated models; collaborate with product, engineering, and analytics teams to build AI functionalities into Atlassian products and services; design system and model architectures.