Job Closed
This listing is no longer active.
TheSoul Group, formerly TheSoul Publishing, is a creator business platform committed to driving viral success for creators and brands worldwide. Through a comprehensive array of di
Applied AI Data Scientist (CEO Office)
Location
Belgium
Posted
44 days ago
Salary
0
Seniority
Mid Level
Job Description
Applied AI Data Scientist (CEO Office)
TheSoul Group
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.
Job 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
- Flexible Engagement Structure: This opportunity is offered under an independent service-provider agreement, giving you the freedom to shape how you deliver your expertise. You define your own working methods, organise your schedule independently, and contribute your skills to clearly scoped projects. Compensation is agreed individually and reflects your experience, capabilities, and the value you bring to each engagement.
- Location Freedom: You can deliver services from any suitable location that supports high-quality outcomes, whether that’s your home office, a co-working space, or wherever you feel most productive and inspired. What matters most is the impact you create and the reliability of your delivery.
- Global Network and Inspiring Projects: You’ll collaborate with a diverse international network of professionals across 85+ countries, contributing to projects that reach vast audiences and help shape the future of digital content. This is an opportunity to work alongside talented specialists, exchange ideas, and be part of meaningful initiatives with real global reach.
- Smooth Collaboration and Project Support: To enable efficient service delivery, we provide modern collaboration platforms, clear project coordination, and streamlined processes. This helps you focus your energy where it matters most, producing high-impact work and bringing creative solutions to life.
- Make a Global Impact: Your expertise will contribute to initiatives that influence audiences worldwide. Join projects that push creative boundaries and help build the next generation of digital experiences.
- 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.
Related Guides
Related Categories
Related Job Pages
More Data Scientist Jobs
Applied AI Data Scientist (CEO Office)
TheSoul GroupTheSoul Group, formerly TheSoul Publishing, is a creator business platform committed to driving viral success for creators and brands worldwide. Through a comprehensive array of di
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.
Applied AI Data Scientist (CEO Office)
TheSoul GroupTheSoul Group, formerly TheSoul Publishing, is a creator business platform committed to driving viral success for creators and brands worldwide. Through a comprehensive array of di
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.
Applied AI Data Scientist (CEO Office)
TheSoul GroupTheSoul Group, formerly TheSoul Publishing, is a creator business platform committed to driving viral success for creators and brands worldwide. Through a comprehensive array of di
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.
Senior Data Scientist, Causal Inference
AirbnbAirbnb is a community based on connection and belonging.
• Building strong relationships with cross-functional partners across Product, Design, Engineering, and Analytics to drive collaboration and innovation. • Contribute directly to the development and launch of data-driven products and models, leveraging AI tools to enhance efficiency and impact. • Writing software in Python, SQL, or R to model, simulate, and measure the impact of new features, applying advanced causal inference techniques where necessary. • Analyzing structured or unstructured data to uncover meaningful insights and craft actionable proposals that help shape strategy. • Communicating learnings to leaders and stakeholders in a clear, compelling manner that drives informed data-driven decision making.
