Responsibilities

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.

Basic qualifications

Professional experience as a Data Scientist, Machine Learning Engineer, or Applied AI researcher, with a track record of deploying models or building analytical systems in production.
Russian language fluency and strong English language proficiency for reporting, collaboration, and presenting insights.
Proven top-tier competitive coding credentials: Kaggle Master+, ICPC medalist, IOI medalist, or Codeforces IM+.
Strong programming skills with production-ready Python and SQL experience.
Deep understanding of machine learning and deep learning, beyond standard boosting models.
Intellectual curiosity and ownership mentality—you take full responsibility for problem-solving end-to-end.
Experience turning complex datasets into actionable insights for business or product strategy.

Experience working with large-scale datasets (PB-scale) and distributed systems.
Hands-on experience building or deploying LLMs, AI agents, or advanced automation systems.
Knowledge of content, media, or social platform analytics.

Competitive Salary: We respect the candidate’s competence, so we discuss the salary individually and offer a truly competitive one, along with performance-based bonuses.
Flexible Work Options: Work from home, your favorite café, or anywhere that sparks your creativity. Enjoy the freedom with remote work options that fit your lifestyle.
Creative Vibes and an International Team: 80% of our employees are creators working from 70+ countries, producing awesome content for billions of followers worldwide.
Talent Growth: Engage in transparent knowledge sharing within the company and our internal academy, offering 470+ courses—learn, teach, or both, and shape your path to expertise.
Tech-savvy Culture: An ecosystem that sparks innovation, embraces the latest tools, promotes transparent task management, and empowers flexible collaboration—no time constraints or meetings, just results!
Seamless Operations: An ecosystem that fuels new ideas, promotes transparent task management, empowers flexible collaboration without time constraints or meetings—no red tape, just results!

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Fulltime Remote Ai Data Science