• Design and own the mathematical and technical framework for a scalable clustering engine that groups claims based on clinical, legal, and financial attributes. • Partner with Machine Learning Engineers to translate prototypes into optimized production systems, and work with MLOps to implement automated retraining, monitoring, and model lifecycle management. • Collaborate with Data and Application Engineering teams to define APIs and data contracts that power internal tools such as attorney and physician benchmarking, as well as fraud detection systems. • Develop advanced representations of claims using both structured data (e.g., ICD codes, geographic data, indemnity and legal costs) and unstructured data (e.g., adjuster notes, medical records, legal documents). • Act as a subject matter expert within the broader engineering organization, ensuring alignment between data science initiatives, system architecture, and production reliability standards.

• Develop and optimize speech-to-text models using deep learning techniques. • Design and implement post-processing pipelines using LLMs to enhance transcription accuracy, formatting, and contextual understanding. • Build and deploy end-to-end machine learning pipelines for speech and text processing. • Fine-tune and evaluate large language models for domain-specific use cases. • Work with large-scale audio and text datasets, ensuring quality and consistency. • Collaborate with data engineers and software teams to integrate models into production systems. • Optimize models for performance, scalability, and latency. • Conduct experiments, analyze results, and continuously improve model performance. • Ensure data governance, privacy, and ethical AI practices. • Document models, methodologies, and findings for knowledge sharing.

Role Description We’re expanding our network of independent assessors across the United States. At BTS, we inspire and equip people to do the best work of their lives, creating better businesses. We partner with organizations to select and develop leaders at all levels. We are seeking experienced professionals to join our independent contractor network to support delivery of leadership assessment solutions on a project-by-project basis. This is a non-employee, contract-based opportunity offering flexibility in accepting engagements based on your availability and interest. This role is primarily remote, with potential opportunities for domestic travel depending on client needs. Scope of Work - Deliver assessment center components for leadership assessment experiences - Conduct interviews, facilitate simulations, and evaluate participant performance using established frameworks and tools - Analyze behavioral data and identify patterns to inform overall assessments - Prepare written summaries or reports reflecting observations and evaluation outcomes, as defined by each project scope - Deliver feedback to participants and/or client stakeholders, where applicable - Participate in calibration or alignment sessions to support consistency across assessors, as needed for specific engagements Qualifications - Advanced degree in psychology or related field (e.g., I/O, HR, Organizational Development), or equivalent professional experience - Demonstrated experience with assessment centers for development and/or selection, including use of structured rating methodologies - Experience conducting behavioral interviews and/or role-play simulations - Strong written communication skills, including synthesizing multiple data sources - Ability to communicate complex or sensitive information effectively to a range of audiences - Cultural awareness and ability to work effectively with diverse populations - 2+ years of experience supporting early-career or mid-level leadership assessments, and/or - 8+ years of experience supporting senior leadership assessments

• Reporting to the Vice President of Product • Leads qualitative UX research (discovery interviews, concept testing, usability studies, synthesis) • Translates qualitative insights into hypotheses and partners with Product Data Analysts / Scientists and Business Analysts to validate findings with quantitative data • Leverages AI tools to accelerate research synthesis, insight generation, and UX writing workflows • Develops and maintains UX writing standards, voice and tone guidelines, and content patterns • Partners with Product Managers and Designers to influence product strategy and roadmap decisions • Mentors team members on research, content, and responsible AI usage best practices