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Data Science Product Manager, Yield Optimization

Remote / Online - Candidates ideally in
Coos Bay, Coos County, Oregon, 97458, USA
Listing for: Trellis
Remote/Work from Home position
Listed on 2025-12-20
Job specializations:
  • IT/Tech
    Data Analyst, AI Engineer, Machine Learning/ ML Engineer, Data Scientist
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Employer Industry: Insurance Technology

Why consider this job opportunity:
  • Compensation at the 75th+ percentile
  • 100% remote work flexibility within the US or Canada
  • Opportunity for career advancement and growth within a fast-scaling startup
  • Flexible vacation policy encouraging work-life balance
  • 100% employer-paid health insurance for employees (65% for dependents)
  • Engaging team culture with quarterly events to foster connection
What to Expect (Job Responsibilities):
  • Lead the integration of predictive models into the company's recommendation engine in collaboration with Engineering and Business teams
  • Drive the full lifecycle of yield optimization models, from ideation to production monitoring and iteration
  • Continuously evaluate and enhance model accuracy to impact key business KPIs, including revenue and conversion rates
  • Utilize sophisticated models to match users with optimal offers, benefiting internal agencies and external buyers
  • Manage external partnerships to align model performance with partner goals and ensure mutual success
What is Required (Qualifications):
  • 7+ years of experience in Data Science roles implementing predictive models
  • Proven full-stack data proficiency with end-to-end ownership of predictive models in production
  • Experience with recommendation systems, ad tech, or yield optimization models
  • Expert proficiency in SQL and ability to independently source and wrangle data across the full stack
  • Strong business and product acumen to translate complex business problems into clear analytical questions
How to Stand Out (Preferred Qualifications):
  • Experience with ML platforms (e.g., Data Robot) or a background in Ad Tech/Insurtech

#Insurance Tech #Data Science #Remote Work #Career Growth #Predictive Modeling

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