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.

Improve client and provider experience by building machine learning models to solve business problems. This is a cross-functional role where you will collaborate with product managers, software engineers, and designers to define and execute on the Care Finding product roadmap. You will have the opportunity to tackle challenging problems such as client-provider matching, LTV modeling, and user segmentation.

Broadvoice is seeking an AI Engineer specializing in Large Language Models (LLMs) to lead research and development initiatives aimed at enhancing both internal processes and customer-facing products. This involves experimenting with state-of-the-art LLMs, optimizing their performance, and integrating them into scalable solutions.

Craft data science and machine learning solutions that generate a big impact on customers by conducting experiments and developing hypotheses to solve business problems using advanced statistics techniques. Develop and implement data science strategies that drive measurable business results, addressing ethical concerns in data science.

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.

Lead a team in designing, developing, and deploying data and machine learning solutions at BenchSci. You'll need deep technical experience with event-driven data pipelines and online inference. Mentor your team, contribute code, and ensure successful delivery of business objectives in this adaptable, remote-first culture.

Shape and optimize pricing strategies to drive business growth and customer engagement. Leverage data science, experimentation, and advanced analytics to design pricing models, measure price elasticity, and evaluate the impact of incentives and loyalty mechanisms. Generate insights that inform strategic decisions, enhance customer retention, and maximize profitability.

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.

We are seeking an experienced Data Scientist III to manage the entire data science lifecycle, including data acquisition, preparation, model development, deployment, and monitoring; you will apply advanced techniques in Python programming, machine learning, deep learning, and generative AI to address complex challenges and develop high-impact solutions.