Data Scientist

Join Our Team as a Lead Data Scientist / AI Engineer! No sponsorship or CDC candidates able to be considered.

Responsibilities

• Solve Big Problems: Drive end-to-end analysis—from gathering requirements and data processing to building advanced models and delivering executive-level presentations.
• Build for Scale: Iteratively engineer robust analysis pipelines, forecasting models, and AI/ML algorithms (including deep learning and neural networks) for user behavioral modeling and optimization.
• Advocate for Quality: Master our data architecture and metrics, driving system and product improvements that directly impact business strategy.

Requirements

• Core Technical Expertise: Mastery of Python, R, or Julia alongside database languages like SQL.
• Machine Learning & AI: Deep experience with frameworks like TensorFlow, scikit-learn, and Big Data tools (Spark, Hadoop). Work with LLM's a must.
• Optimization & Modeling: Strong background in mathematical optimization (discrete, nonlinear, or stochastic) and feature engineering.
• Data Visualization: Proven track record building compelling dashboards in Tableau, PowerBI, Plotly, or D3.js.
• Communication & Leadership: Exceptional ability to translate complex technical concepts for executive leadership and business stakeholders seamlessly.
• Autonomous Drive: Thrives in a fast-paced environment with top-tier problem-solving, organization, and strategic thinking skills.