• Lead, mentor, and manage a team of data scientists — setting expectations, giving feedback, and building people up. • Own execution quality for data science delivery, ensuring research translates into production-ready, well-documented systems. • Partner with Product to define research priorities and with Engineering to ensure models integrate cleanly into production. • Step into complex modeling and research efforts yourself when senior technical judgment and experience are required. • Build and improve the team’s processes — including experimentation standards, methodology reviews, documentation practices, and model handoff workflows.

- Analyze and interpret metrics like CTR, retention, engagement, and user behavior at an unprecedented scale (100B+ views/month). - Build robust and reproducible analytical workflows to uncover actionable insights. - Validate and optimize measurement methods to ensure accuracy across platforms. - Identify non-obvious correlations, causal relationships, and latent patterns in large, complex datasets. - Translate statistical findings into strategic recommendations for content, product, and growth teams. - Challenge assumptions and propose innovative analytical frameworks. - Design, build, and maintain AI agents that automate routine and complex analytical processes. - Experiment with LLMs, reinforcement learning, and other generative AI techniques to accelerate insights. - Deploy AI solutions in production to improve decision-making speed and accuracy. - Develop end-to-end machine learning pipelines for large-scale data processing. - Ensure code quality, reproducibility, and scalability for production environments. - Continuously monitor, test, and optimize ML/DL models for performance and robustness. - Present findings and strategic recommendations directly to the CEO. - Influence high-level business and content strategy with data-driven insights. - Communicate complex technical results in a clear, actionable manner for non-technical stakeholders.

This role is for one of our clients Compensation: $19 - $65/hourpay Job Title: ParaView Expert Job Type: Contract Location: Remote We encourage you to become a part of our client's team as a ParaView Expert. In this crucial position, you will be instrumental in documenting and clarifying the complete rendering processes employed by seasoned visualization professionals, thereby influencing how next-generation AI comprehends and reproduces sophisticated data visualization techniques.

• Lead end-to-end ML projects: task setting -> solution -> testing -> production -> support; • Work with data engineers to create datasets and data requirements, assess feasibility, risks, and limitations; • Participate in the design and analysis of A/B tests together with data analysts: metrics, splits, interpretation of results, recommendations for rolling out solutions; • Develop and train models (classic ML + DL), including solutions for text and image embeddings; conduct offline evaluation and error analysis; • Transfer the model and code to production (Python service), support releases and integrations; • Be responsible for model quality after launch: metrics, monitoring, drift/degradation, improvement plan, and support regulations