• Develop and maintain Python-based data pipelines that collect, process, and ingest data from multiple sources. • Improve existing data workflows with a focus on quality assurance, sustainability, documentation, and maintainability. • Ensure analytic workflows are reproducible, well-structured, and scalable. • Support responsible handling of sensitive data in compliance with FERPA and AACOM data governance standards. • Develop dashboards and data visualization tools primarily using Tableau and Python. • Maintain and enhance existing dashboards, internal analytics tools, and client-facing data products. • Translate complex datasets into accessible and actionable visual insights. • Translate defined research designs into executable analytic workflows. • Clean, transform, and validate complex administrative and survey datasets. • Conduct quantitative analyses with increasing independence over time. • Contribute to applied research initiatives including workforce studies, survey analysis, and text-based or NLP projects. • Support the development and operationalization of statistical and/or ML models used in research and operational initiatives. • Partner with colleagues across AACOM departments to support strategic data and analytics initiatives. • Contribute to a culture of innovation, continuous learning, and process improvement. • Document workflows, methodologies, and technical processes clearly and consistently. • Stay current on emerging tools, technologies, and best practices in data science and analytics.

• Own clinical data quality across claims, EHR, and ADT: Define standards for how clinical data is structured, normalized, and validated as modeling inputs across payer claims (medical, pharmacy, eligibility), EHR data (Epic, Cerner, Athena), and real-time ADT feeds. Bring deep familiarity with EHR data formats (FHIR, HL7, C-CDA) and how data from systems like Epic, Cerner, and Athena maps to clinical reality. Hold the bar for clinical accuracy and completeness across all three sources. • Build and ship production ML/AI models: Develop, validate, and deploy risk stratification, care gap prediction, treatment effect estimation, and LLM/foundation model applications — with rigor around leakage, calibration, fairness, and clinical face validity. • Apply health economics and outcomes methods: Translate raw clinical and claims data into decision-grade evidence through risk adjustment, utilization measurement, cost attribution, quasi-experimental evaluation, and outcomes measurement aligned with CMS, NCQA, and MCO reporting standards. • Advance machine and AI products: Bring senior modeling judgment to the product roadmap, owning the clinical and methodological soundness of what ships. • Set standards and mentor: Make architectural trade-offs, drive alignment across data science, engineering, product, and clinical stakeholders, and mentor junior data scientists to raise the technical bar of the team.

• Build and maintain new data models that are accurate and reliable • Work closely with a wide range of stakeholders from Data Science, Commercial Leadership, Sales Operations, Product, Design, and Engineering • Define, prototype, implement and improve ML models • Design experiments to test hypotheses (e.g. which customers should we focus on in our outbound calls) • Build/maintain reports, dashboards, and metrics to support our north star metrics • Teach and learn from their teammates. We value making others successful

Role Description We are looking to grow our core Applied Science team by adding a “Senior Applied Data Scientist”. This is an individual contributor role on a highly collaborative team. The Applied Science team is a self-sufficient, product development team that applies research and experimentation to fulfill its goals of developing and maintaining business-critical software systems. In short, you’ll be a full-stack applied data scientist and software developer. 3Play Media has diverse business and technical challenges related to media transcription, captioning, audio description, dubbing, subtitling, and translation. This team makes major contributions in many technical domains, including: - Software engineering - Systems engineering - Machine learning - Natural language processing - Generative AI - Signal processing - Applied probability and statistics - Data analysis - Controlled experimentation You’ll be expected to contribute to and learn about several of these domains. We are looking for a curious, communicative, collaborative, humble, self-sufficient, and flexible data scientist. The ideal candidate is energized by the craft of building efficient, reliable software systems alongside sensible, robust machine learning and AI models. You’ll approach engineering and data science as disciplines that are always evolving, and you actively seek out and weigh new approaches rather than settling into the familiar. Above all, you understand that this work is a team sport: you know that strong collaboration, durable relationships, and genuinely diverse perspectives aren't nice-to-haves but the foundation of doing it well. Qualifications - 2+ years full time working experience in signal processing, data science, or machine learning roles, including predictive modeling, data processing, and data analysis responsibilities - Extremely strong communication skills, both verbally and in writing - Strong familiarity with Python coding, utilizing industry standard libraries (e.g., Pandas, NumPy, Scikit-learn, Matplotlib/Seaborn) - Interest in presenting technical and business-oriented information to a variety of audiences, including senior management and customers - BS/ MS / PhD in Data Science, Engineering, Computer Science or a related field Requirements - Strong academic and professional experience with audio signal processing, speech synthesis, and computer vision - Experience writing, deploying, and maintaining Python and SQL code in a production setting - Experience building and maintaining production machine learning systems in a cloud-based platform, such as AWS SageMaker - Experience developing and maintaining custom deep learning models using pytorch and HuggingFace, especially models involving text, audio, and video data - Experience using third-party generative AI systems, including prompt engineering and fine-tuning - Experience in the accessibility and localization industries Benefits - Base salary range: $165k - $200k - Location: Remote — United States - Employment type: Full-time Company Description 3Play Media is a technology company making video accessible to everyone. Our captioning, transcription, audio description, and localization solutions serve over 10,000 customers — universities, media companies, enterprises, and government organisations across the US and Canada. We were founded at MIT Sloan in 2007 and have been building deliberately ever since. The team is small, fast-moving, and low on politics. The work you do here is visible from day one. Headquarters in Boston, MA with offices in Minneapolis, MN and Calgary, AB. 3Play Media is an equal opportunity employer. We are committed to building a diverse and inclusive team and encourage applications from candidates of all backgrounds.