Role Description This role offers a high-impact opportunity to advance AI- and ML-driven solutions within a performance management platform. You will leverage large-scale HR, engagement, and behavioral datasets to design, train, and deploy machine learning models that provide actionable insights for managers and HR leaders. Collaborating closely with software and data engineering teams, you will build scalable pipelines, engineer features, and develop context layers that power intelligent AI agents. Your work will directly influence the platform’s capabilities, accelerating employee engagement, performance, and retention. This role requires a blend of advanced statistical analysis, applied machine learning, and operational execution within a fast-paced, high-accountability environment. You will be a key contributor to AI initiatives that elevate the product’s intelligence and business impact, while mentoring teams and promoting best practices in data science and MLOps. - Conduct exploratory data analysis and statistical modeling on large structured and unstructured datasets to uncover insights that inform AI models and product decisions. - Design and implement machine learning models, including supervised, unsupervised, and representation-learning approaches, to enhance platform capabilities. - Engineer features and build knowledge representations to enrich AI agents and support intelligent workflows. - Develop high-quality training datasets, including annotations, evaluation frameworks, and benchmarks for model development and validation. - Collaborate with engineering teams to operationalize models, ensuring scalability, reliability, and integration with product architecture. - Continuously evaluate model performance, iterate on features and pipelines, and adjust strategies based on business needs and experimental outcomes. - Work cross-functionally with product, design, and engineering teams to translate business problems into data science solutions and actionable insights. Qualifications - BS or higher in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field, or equivalent practical experience. - 7+ years of experience in data science, applied machine learning, or statistical modeling in production environments. - Strong statistical foundation and expertise in analyzing complex datasets to extract meaningful patterns and actionable insights. - Hands-on experience developing, evaluating, and deploying ML models with measurable business impact; familiarity with LLMs and embeddings is a plus. - Proficiency in Python and SQL, with experience building data pipelines, training models, and performing large-scale data analysis. - Experience with modern data platforms, data warehouses, and distributed processing systems. - Familiarity with MLOps practices, including model training, versioning, deployment, and lifecycle management. - Strong collaboration and communication skills to explain complex technical concepts to non-technical stakeholders. Requirements - Competitive annual base salary: $132,500 - $170,500. - Participation in annual discretionary company bonus program and equity awards. - Medical, dental, and vision insurance with company cost subsidies. - Short-term, long-term disability, and life insurance coverage. - Flexible Time Off program, generous parental leave, military leave, and paid company holidays. - Sabbatical program and professional development support. - 401(k) plan with 4% employer match after 6 months. - Remote work flexibility and collaboration with industry-leading experts in AI, HR technology, and data science. - Supportive programs for mental health, wellness, and inclusive benefits for employees and their families.

• Engineer the underlying data sources to support predictive capabilities, natural language modeling, and AI • Design AI/ML algorithms to develop predictions, recommendations, data quality improvements and proactive insights • Lead and manage the full lifecycle of data science and AI solutions • Collaborate with front-line managers to executive leadership across all functional pillars • Create and maintain dashboards and interfaces using PowerBI to provide access and interactive capabilities to the model's recommendations and insights

Role Description This senior-level role is ideal for an experienced analytics professional with deep expertise in healthcare data and enterprise-level customer engagements. The Principal Analyst, Customer Insights will lead complex analytic initiatives, define strategy, and deliver insights that directly inform business decisions and performance outcomes. Acting as a strategic partner to executive stakeholders, the role requires technical excellence, advanced methodological rigor, and the ability to translate data into actionable recommendations. You will mentor and elevate analytic talent across the team, shape frameworks that scale across engagements, and influence product, operational, and strategic decisions. This position combines technical depth, executive presence, and autonomous decision-making in a dynamic and high-impact environment. - Define and lead analytic strategy across large-scale, high-visibility customer engagements. - Architect and maintain advanced analytic frameworks supporting medical economics, performance measurement, population health, and value-based care initiatives. - Serve as the senior escalation point for complex methodological, data integrity, or analytic questions. - Translate contractual obligations and strategic objectives into actionable analytic roadmaps. - Drive cross-functional collaboration with Product, Engineering, Actuarial, Data Science, Finance, and Customer Success teams. - Ensure technical excellence, establish quality standards, and implement governance practices for all analytic deliverables. - Present insights and strategic recommendations to senior and executive-level stakeholders and mentor analytic talent to elevate team capability. Qualifications - 8–10+ years of healthcare analytics experience, with strong payer or enterprise healthcare experience preferred. - Deep knowledge of medical economics, claims data analysis, quality performance measurement, and value-based care initiatives. - Advanced SQL proficiency and experience optimizing complex queries in large-scale data environments. - Demonstrated experience designing analytic methodologies, frameworks, and scalable solutions. - Proven ability to influence senior and executive stakeholders and lead high-impact analytic initiatives. - Strong data storytelling, communication, and presentation skills for executive audiences. - Experience mentoring and developing senior analytic talent to elevate team capability. - Familiarity with AWS or large-scale cloud data platforms is a plus; experience in Python, R, or AI-enhanced analytics is preferred. Benefits - Competitive compensation and performance-based incentives. - Flexible, remote-friendly work environment. - Professional development programs and opportunities to mentor and grow analytic talent. - Health, dental, and vision benefits. - Employee-driven programs promoting personal and professional growth. - Participation in a mission-driven, purpose-focused team transforming healthcare delivery. Company Description

The Plastic Reduction Alliance (PRA) and the universities’ sustainability experts are offering student internships for the Summer and Fall 2026. The PRA is a nonprofit organization committed to sharing the latest research on plastics and to addressing plastic waste through partnerships, programs, policies and events to promote cleaner and healthier communities through the reduction of plastic and promotion of safe alternatives. The student internship project will investigate the plastic use and plastic replacements at the higher education institutions in the state of Indiana. The position will require communication and organizational skills to acquire the information in a meaningful and quantifiable manner. The interns will work with the PRA and others with experience in surveying campus plastics and create questionnaires to effectively determine the types and amounts of single-use plastics that are part of campus functions. Information on plastic replacements will also be amassed. The interns will compile the data and compare the utilization of single use plastics versus the sustainable replacements for plastics on the campuses. Once compiled and organized, the information will be shared among the higher education institutions in Indiana to ultimately provide a path forward for critical plastic reduction. Qualifications: Interest in the plastic pollution crisis, communication skills, an ability to organize data and work independently. Responsibilities: 10 hours per week of work (mostly remote) at $14/hour; weekly meetings (~ 30 minutes) with project supervisor. The first few weeks of the project will require regularly scheduled meetings for the creation of the data (survey) plan. The work hours for subsequent weeks are flexible. To apply, you MUST submit a resume and a cover letter to this application as an attachment.