Senior Data Scientist

FlightStory • Los Angeles, CA

4d • Onsite

About The Position

Steven.com is building the operating system for the billion-dollar creator economy. Creators are held back by fragmented distribution, rented audiences, and technology that wasn't built for them. Steven.com is the unlock — the end-to-end Operating System designed to empower, grow, and scale what is irreplaceably human. We work across four interconnected pillars: Creator Media (reach, influence, trust), Creator Community (turning audiences into connected tribes), Creator Ventures (infrastructure for creators to build and back aligned businesses), and Creator Technology & Data Intelligence - the proprietary data suite that fuels the entire flywheel. Powering all of it is our Innovation and Technology Organisation (ITO) - Steven.com 's founding technical engine, operating in stealth mode to build the data and AI infrastructure underpinning our next stage of growth. Data Intelligence sits at the core of our long-term competitive moat. We're looking for a builder to sit at the intersection of proprietary data, applied machine learning, and creative/social intelligence - building models and systems that turn one of the most unique datasets in the creator economy into insight and competitive advantage. This is hands-on and high-ownership: you'll work closely with engineering and product to translate data into decision-making tools, intelligence products, and AI-powered capabilities.

Requirements

• Building and shipping ML/statistical models in production - not just notebooks.
• Strong Python fluency across the modern data science stack (PyTorch, TensorFlow, scikit-learn, or equivalent).
• Operating at scale: large datasets, complex pipelines, and the engineering challenges that come with them.
• Working with LLMs/foundation models and applying frontier ML research to real business problems.
• Demonstrable experience building and deploying ML or statistical models in production.
• Strong Python and relevant DS library experience.

Nice To Haves

• Background in consumer/enterprise data products, creator economy, or media analytics is a strong advantage.
• CS/ML research background, agentic AI or multi-model architecture experience, creator/audience/community data exposure, published research or open-source contributions, or time at organisations at the frontier of applied AI.

Responsibilities

• Design, build, and deploy ML models and AI systems powering creator intelligence, audience analytics, and content performance products.
• Take proprietary audience and creator models from feature engineering and training through to production deployment and monitoring.
• Apply statistical rigour to extract actionable insight from large, complex, often unstructured datasets.
• Work hands-on with LLMs and foundation models - fine-tuning, prompt engineering, RAG, and other post-training techniques.
• Partner with business leaders to ensure statistical rigour underpins reporting and decision-support tools.
• Contribute to the team's intellectual culture via technical blogs, internal research, and conference talks.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed