Data Scientist

• Own the Data: Command the full lifecycle of data pipelines — ingestion, cleaning, structuring, and analysis of large-scale, noisy, analog signals.
• Operationalize AI: Design, train, and deploy ML/AI models (including LLMs, predictive systems, and demand-forecasting models) into production environments.
• Execution at Velocity: Move from prototype to deployment with speed, reliability, and measurable accuracy.
• Model for Impact: Build systems that optimize quality control performance and decrease latency or deliver intelligence that drives customer growth with operational leverage.
• Domain Partnership: Work directly with Engineering, Product, and Commercial teams to ensure models translate into measurable outcomes, not academic outputs.
• Evolve the Platform: Advance the intelligence layer that makes the world’s largest commercial channel legible and actionable. Performance is assessed on one axis: the velocity, precision, and scale at which data science converts fragmented analog signals into decisive market intelligence.

Senior Data Scientist – Data Quality

Senior Data Scientist

Senior Data Scientist

Clinical Data Science Programmer

Senior Data Scientist