Design end-to-end AI architectures, including data pipelines, model development, deployment, monitoring, and integration into enterprise systems. Leverage modern AI/ML frameworks and platforms. Ensure solutions follow best practices for scalability, reliability, and responsible AI. Partner with client stakeholders to understand business challenges and translate them into AI-driven solutions. Provide technical leadership in workshops and architecture design sessions.
Provide the necessary machine learning/data science expertise, and collaborate with data analysts and data engineers, so that the Analytics Solutions team can deploy analytical approaches and tools to support business stakeholders. Leverage the organization’s data assets to develop, maintain, and support the implementation of predictive models that improve business performance.
The USRM Claims Data Science team is hiring an Analyst II, Data Science, as part of a broader expansion of our team. This role will focus on supporting the Auto Physical Damage claims organization. As an Analyst II, Data Science, you will collaborate with business partners to develop predictive models that enable dynamic software systems and data-driven strategic decision-making.
Large‑scale language models are evolving into powerful engines of scientific discovery. As a STEM specialist, you will challenge advanced language models on topics like thermodynamics, mechanics, calculus, statistics, materials science, electronics, algorithm design, and quantitative modeling. You will converse with the model on real-world STEM problem-solving scenarios and theoretical technical questions, verify factual accuracy and logical soundness, and suggest improvements.
This role involves building a cohesive data organization that fosters collaboration and drives innovation across the entire company. The Senior Director of Data Engineering will drive the transformation of multiple teams and forge partnerships between the data organization and product engineering, while also enhancing the company’s competitive edge.
We are seeking an experienced and strategic Director of Analytics reporting directly to the VP of Analytics, Data Science & Clinical Intelligence. This role will be responsible for leading a critical function within our organization and serving as the primary strategic data partner for our Growth (Sales) and CX (client success, client delivery, marketing) functions. This role will lead a high-performing team of data scientists.
Consolidate network data in a presentable fashion to help key decision makers make informed decisions. Apply data mining and statistical analysis techniques like hypothesis testing, segmentation, and modeling to analyze large amounts of network data. Deliver the latest data science and practices to help design, build and maintain scalable and robust solutions. Help clients make data-driven decisions by working with structured and unstructured data sets.
As a Senior Product Analyst at Docplanner, your focus will be on generating insights used for product decision-making and helping product teams achieve their goals by leveraging data. You will take ownership of the team's metrics and work closely with various stakeholders to generate and test hypotheses in a SaaS market.
Assist data science team in preparing source document for AI models and anonymising documents. Document labelling and capturing content in a structured output. Analyze LLM/model outputs and validate against ground truth. Evaluate / analyze model accuracy in relation to business /functional factors through manual testing.
This position supports loan resolution activities related to data reporting, validation, and model testing. You will be comfortable working with large amounts of data in multiple systems and synthesizing data into actionable insights. Frequent collaboration with other areas of the credit union is expected. Internship to start January 2026.