• Perform various analyses to understand data sources and generate business insights; • Develop statistical models using different techniques; • Continuously refine and improve developed statistical models; • Monitor the performance of production statistical models; • Act as a technical reference for other professionals in the team; • Support the technical development of new business requirements; • Lead research projects aimed at opening new avenues in data analysis; • Create high-impact Data Science projects; • Present model results to business stakeholders to highlight the importance of model deployment, communicate obtained insights, and translate model outputs into business terms.

• Own end-to-end solutions: translate ambiguous healthcare and operational problems into AI/ML models that deliver measurable impact by selecting methods, building data/models, deploying services, instrumenting observability, and real-world feedback loops • Partner with Product, Engineering, and Clinical leaders to embed data science into workflows like claims processing, utilization management, provider network optimization, risk adjustment, etc. • Deliver clinical intelligence features such as autonomous chart review, disease detection, compliance forecasting, and quality analytics • Build AI/NLP/LLM models for document understanding and information extraction, including OCR, NER, and vision models • Advance quality and payment integrity: create models and automated QA to reduce manual review, increase accuracy, and surface documentation anomalies and audit risk • Champion engineering excellence: internal libraries, reusable components, coding standards, code reviews, and clear documentation • Own the lifecycle: monitoring, drift detection, alerting, and post-deployment reviews.

Role Description VideoAmp, Inc. seeks a Senior Data Scientist to work in New York, NY. Job duties include: - Develop and implement machine learning algorithms to analyze large-scale datasets, uncovering insights and trends that drive strategic decision-making. - Support the design, development, and deployment of advanced statistical models to optimize advertising campaign measurement and improve planning and targeting accuracy. - Communicate complex analytical concepts and results to stakeholders in a clear and concise manner. - Ensure the integrity and accuracy of data through rigorous testing and validation of models. - Work closely with engineering teams to integrate models into production systems, ensuring scalability and reliability. Qualifications - Bachelor’s degree in Statistics, Mathematics, Computer Science, Data Science, or related field (or its equivalent) plus 5 years of experience. - 5 years of experience in data science, with a strong focus on statistical modeling and machine learning. - 5 years of experience in statistical techniques, including regression analysis, hypothesis testing, Bayesian methods, and time-series analysis. - 5 years of experience with strong analytical and problem-solving skills, with the ability to work with complex datasets and extract actionable insights. - 3 years of experience with programming languages such as Python and SQL. - 3 years of experience with general machine learning frameworks and libraries. Requirements - Telecommuting permitted. - 40 hours/week, $169,541 - $208,000 per year. - Must have authority to work permanently in the U.S. Company Description

About Us Multi Media LLC is the company behind Chaturbate, one of the most heavily trafficked live streaming platforms in the world. We support a global network of independent content creators and millions of real-time viewers, delivering interactive video at scale. Our infrastructure handles complex broadcasting, low-latency streaming, and high-engagement user experiences. All live, all the time. We’re building a platform where creators can express themselves freely and grow their communities, where viewers discover and interact with creators they’re drawn to, and where the team behind it is challenged, trusted, and responsible for shaping the experience of millions of users around the world. We value people who take initiative, stay curious, and care deeply about the quality and impact of what they build. The Role We are looking for a Senior Data Scientist to join our Artificial Intelligence and Machine Learning team. In this role, you will lead the analysis of complex business and product challenges that require advanced analytical thinking, strong methodology, and practical business judgment. You will turn open-ended questions into clear frameworks, rigorous analyses, and recommendations that drive better decision-making across the organization. You’ll partner closely with Machine Learning Engineers, Product leaders, and other cross-functional stakeholders to evaluate the impact of product and ML investments, strengthen experimentation and measurement practices, and build a deeper understanding of user behavior, creator outcomes, and overall business performance. This is a high-impact role for someone who is strong in statistical and analytical thinking, highly skilled in Python, and comfortable turning ambiguous questions into clear, defensible recommendations. You Will - Lead complex analyses that answer high-impact business and product questions, using strong statistical thinking, modeling, and sound analytical judgment. - Create clear approaches to ambiguous problems by defining the right methodology, identifying the required data, and delivering actionable insights that drive decision-making. - Assess the business impact of product changes, recommendation systems, experiments, and other strategic initiatives, including ROI, forecasting, and performance measurement. - Work closely with Product, Engineering, and other cross-functional partners to shape priorities, influence decision-making, and communicate findings clearly and compellingly. - Mentor other analysts through technical guidance, collaboration, and shared best practices that raise the quality of analytics across the team.