Applied AI Data Scientist (CEO Office), TheSoul Group

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Solliciteren

Plaats

Brussels
be

Datum gepubliceerd

2026-03-05

Online to:

2026-05-04
EUR 20.00 HOUR

Applied AI Data Scientist (CEO Office)

TheSoul Group
8 uren geleden

ppbTheSoul Group /b is a leading creator business platform positioned at the heart of the creator economy. Our original videos, animations, and editorial stories inspire audiences in b21 languages /b, across b60 platforms /b and b20 websites /b. /p pTogether with our network of b15,000 talented creators /b, we reach over b5 billion followers /b and generate more than b100 billion monthly views on social media /b. /p pAs 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 b5-Minute Crafts /b and bBrightSide /b, and we continue to expand our influence in the creator economy through strategic acquisitions like bMediacube /b and bUnderscore Talen /b. /p pWe’re a dynamic, remote-first global team, fostering award-winning creativity, a no-red-tape approach, and great vibes! /p pWe 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. /p h3Responsibilities /h3 ul liAnalyze and interpret metrics like CTR, retention, engagement, and user behavior at an unprecedented scale (100B+ views/mo /li linth).Build robust and reproducible analytical workflows to uncover actionable ins /li liight 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. /li liChallenge assumptions and propose innovative analytical frameworks.Design, build, and maintain AI agents that automate routine and complex analytical processes. /li liExperiment with LLMs, reinforcement learning, and other generative AI techniques to accelerate insights. /li liDeploy AI solutions in production to improve decision-making speed and accuracy. /li liDevelop end-to-end machine learning pipelines for large-scale data processing. /li liEnsure code quality, reproducibility, and scalability for production environments. /li liContinuously monitor, test, and optimize ML/DL models for performance and robustness. /li liPresent findings and strategic recommendations directly to the CEO. /li liInfluence high-level business and content strategy with data-driven insights. /li liCommunicate complex technical results in a clear, actionable manner for non-technical stakeholders. /li /ul h3Qualifications /h3 ul liProfessional 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. /li liRussian language fluency and strong English language proficiency for reporting, collaboration, and presenting insights. /li liProven top-tier competitive coding credentials: Kaggle Master+, ICPC medalist, IOI medalist, or Codeforces IM+. /li liStrong programming skills with production-ready Python and SQL experience. /li liDeep understanding of machine learning and deep learning, beyond standard boosting models. /li liIntellectual curiosity and ownership mentality—you take full responsibility for problem-solving end-to-end. /li liExperience turning complex datasets into actionable insights for business or product strategy. /li liHave experience working with large-scale datasets (PB-scale) and distributed systems. /li liHands‑on experience building or deploying LLMs, AI agents, or advanced automation systems. /li liKnowledge of content, media, or social platform analytics. /li /ul h3Benefits /h3 ul libCompetitive Salary /b: We respect the candidate’s competence, so we discuss the salary individually and offer a truly competitive one, along with performance-based bonuses. /li libFlexible Work Options /b: Work from home, your favorite café, or anywhere that sparks your creativity. Enjoy the freedom with remote work options that fit your lifestyle. /li libCreative Vibes and an International Team /b: 80% of our employees are creators working from 70+ countries, producing awesome content for billions of followers worldwide. /li libTalent Growth /b: 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. /li libTech‑savvy Culture /b: An ecosystem that sparks innovation, embraces the latest tools, promotes transparent task management, and empowers flexible collaboration—no time constraints or meetings, just results. /li libSeamless Operations /b: An ecosystem that fuels new ideas, promotes transparent task management, empowers flexible collaboration without time constraints or meetings—no red tape, just results. /li /ul pWe 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. /p /p #J-18808-Ljbffr

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Applied AI Data Scientist (CEO Office)

Plaats

Datum gepubliceerd

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Applied AI Data Scientist (CEO Office)

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