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Home/Jobs/Applied AI Data Scientist (CEO Office)
TheSoul Group logo
TheSoul Group

Applied AI Data Scientist (CEO Office)

šŸ‡¦šŸ‡Ŗ UAE, UAEšŸ  Remote
AIData ScienceMachine LearningLLMGenerative AIContent IntelligencePython
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TheSoul Group
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TheSoul Group is a leading creator business platform positioned at the heart of the creator economy. Our original videos, animations, and editorial stories inspire audiences in 21 languages, across 60 platforms and 20 websites.

Together with our network of 15,000 talented creators, we reach over 5 billion followers and generate more than 100 billion monthly views on social media.

As a global powerhouse in digital media, we drive viral success for creators and brands worldwide through a wide range of services, leveraging our expertise in content distribution, localization, and social media management. We’re the creators behind global phenomena such as 5-Minute Crafts and BrightSide, and we continue to expand our influence in the creator economy through strategic acquisitions like Mediacube and Underscore Talent.

We’re a dynamic, remote-first global team, fostering award-winning creativity, a no-red-tape approach, and great vibes!

We are seeking an exceptional Applied AI Data Scientist to join our team at the forefront of content intelligence. You will explore the world’s largest dataset on content performance—over 100 billion views per month across 50+ platforms—to uncover hidden insights and drive measurable impact. Your work will power AI agents, automate analytics, and directly shape high-level business strategy, reporting to the CEO. This is a rare opportunity to combine advanced AI research with real-world product and business influence.

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. Requirements

• 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.

Nice-to-have

• 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.Benefits

• 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 cafĆ©, 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!
We appreciate your interest in our job opportunities and our company. Our team carefully evaluates each application to identify the most suitable candidates for the role. Due to the high volume of applications received, we may not be able to respond to every applicant. However, if your qualifications align with our requirements, we will contact you to discuss the next steps in the selection process.

Requirements

  • •Professional experience as a Data Scientist, Machine Learning Engineer, or Applied AI researcher
  • •Track record of deploying models or building analytic...
  • •Experience with LLMs, reinforcement learning, and generative AI techniques
  • •Experience with large-scale data processing and machine learning pipelines
  • •Ability to communicate complex technical results to non-technical stakeholders

Responsibilities

  • •Analyze and interpret metrics like CTR, retention, engagement, and user behavior at scale
  • •Build robust and reproducible analytical workflows
  • •Validate and optimize measurement methods
  • •Identify non-obvious correlations, causal relationships, and latent patterns
  • •Translate statistical findings into strategic recommendations
  • •Challenge assumptions and propose innovative analytical frameworks
  • •Design, build, and maintain AI agents
  • •Deploy AI solutions in production

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