Data Scientist

Function: Data Science Machine Learning / Applied AI

• Were looking for a Data Scientist to own end-to-end ML models and experimentation across the company.
• This is a high-ownership, execution-heavy role focused on improving conversions, call success rates, and operational efficiency.
• You’ll own problems end-to-end — from metrics and experiments to production models and product impact.

Role

• Own end-to-end ML systems for an AI-driven outbound call center
• Work on problems directly tied to loan sales, collections, and insurance conversions
• Drive experiments product changes measurable revenue impact

What You’ll Actually Work On

• Build user / lead scoring models to decide who to call, when, and how
• Improve conversion rates across outbound funnels (dial connect conversation conversion)
• Work with rich, messy data: call transcripts, recordings, user metadata, and call-level signals
• Extract insights from within-call behavior (drop-offs, objections, engagement patterns)
• Design and run A/B experiments on model + product changes
• Improve LLM agent performance (response quality, handling objections, conversation flow)
• Identify failure points (bad targeting, poor timing, weak conversations) and solve them using data + ML
• Ship models into production and iterate based on real-world performance

Requirements

• Strong Python + SQL (used daily)
• Hands-on ML experience (practical projects/internships)
• Ability to go from raw data insight model deployment
• Comfort working with noisy, real-world datasets (text, behavioral data)
• Understanding of experimentation / A-B testing
• Strong problem-solving + ownership mindset