Senior Data Scientist: Production ML for Creator Intelligence

FlightStory; Los Angeles (CA); On-site; USD 111,000 - 185,000; Full time

Job summary

Steven.com in Los Angeles is seeking a Senior Data Scientist to design, build, and deploy ML models and analytics that power creator intelligence and content performance products.

This hands-on role requires end-to-end ownership from feature engineering to production, collaborating with engineering and product to translate data into decision-support tools, AI capabilities, and competitive insights that move the business forward.

Qualifications

• Demonstrable experience building and deploying ML or statistical models in production.
• Strong Python and relevant DS library experience.
• Background in consumer/enterprise data products, creator economy, or media analytics is a strong advantage.
• Bonus: CS/ML research background, agentic AI or multi-model architecture experience, creator/audience/community data exposure, published research or open-source contributions.

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.

Skills

Python

PyTorch

TensorFlow

scikit-learn

Job description

Steven.com in Los Angeles is seeking a Senior Data Scientist to design, build, and deploy ML models and analytics that power creator intelligence and content performance products.

This hands-on role requires end-to-end ownership from feature engineering to production, collaborating with engineering and product to translate data into decision-support tools, AI capabilities, and competitive insights that move the business forward.