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.

- **Manage the Talent Pipeline:** Oversee the rotation curriculum and technical onboarding systems that transform entry-level graduates into high-impact Analysts and Analytics Engineers. You will empower your Data Operations Leads to execute this curriculum daily. - **Strategic Recruitment:** Lead the selection and onboarding of regional Data Operations Leads and oversee the data-driven recruitment engine used to filter high-volume campus applications and secure top-tier talent. - **Define Technical Standards:** Establish the Sun King Data Standard, ensuring every graduate masters SQL, LookML, and the business logic required for specialized roles. - **Service Accountability:** Set the global strategy for the Data Desk. While your regional Leads manage daily ticket assignments, you are responsible for overall SLA performance, quality of output, and the health of escalation pathways. - **Operationalize Quality:** Partner with the Data Product team to define high-level SOPs. You will guide your Data Operations Leads in testing these procedures to ensure they are realistic for the junior workforce. - **Systemic Automation:** Lead the transition of manual tasks into automated self-service tools by working with the Engineering Hub. Your goal is to provide the Data Product team with high-quality assets that reduce the support burden on the desk. - **Management of Regional Leads:** Provide mentorship and professional development to the Data Operations Leads. You will ensure they are utilizing their squads effectively and maintaining technical rigor across all cohorts. - **Hands-On Mentorship:** While your focus is on the system, you will remain close to the technical work. You will not build executive dashboards daily, but you will oversee their development and get involved in troubleshooting and fixing code when pipelines or logic fail. **Empowerment over Centralization:** Success is measured by the speed at which you graduate talent and how effectively you enable the Data Product team to deploy new tools through the Data Ops infrastructure.

• Own analytical problems end to end from problem framing and metric definition through data acquisition, modeling, validation, and stakeholder rollout • Build predictive and inferential models such as forecasts, propensity and uplift models, and survival or duration analyses, where they meaningfully improve a product or operational decision • Develop statistical methods and reusable analyses for measuring performance, including detection accuracy, intervention impact, and downstream operational outcomes • Partner with Product, Engineering, and Operations to define key metrics, implement new features, and translate business questions into well-scoped analytical work • Audit system outputs and provide structured feedback that improves product accuracy and reliability • Communicate findings through dashboards, written analyses, and stakeholder presentations that lead to concrete decisions • Help define best practices around data quality, experimentation, modeling, and reproducibility, and contribute to the team’s data contracts and SOPs

• Owning end-to-end responsibility for building identity verification machine learning models from prototyping to production and and driving measurable impact in live environments • Taking full ownership for performance metrics like verification accuracy and false acceptance rates, and pushing the boundaries of what’s possible under high-security constraints • Influencing and shaping our in-house models, and evaluating external solution vendors, and improving instrumentation to generate valuable insights while creating new machine learning products • Establishing key metrics, deriving data-driven insights, and conducting experiments to assess the overall product impact of our biometric machine learning solutions on identity verification • Working both independently and collaboratively with other engineers to define and deliver high-impact product features in the biometrics domain