Senior Data Scientist – Member Experience (Remote)

Ouraring

Northern (KY)

Hybrid

USD 173,000 - 203,000

Full time

14 days+
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Benefits offered by this job

Competitive salary & equity
Health, dental, vision & mental health
Oura Ring for you & discounts
Paid time off: 20 PTO + 13 holidays +
Sick & parental leave

Job summary

Oura is seeking a Senior Data Scientist to partner with the Member Experience team. You will build data systems and models to improve member support, retention, and outcomes, impacting decisions across MX analytics, operations, and business strategy.

You will design scalable data solutions, dashboards, and dashboards that link support data to lifecycle metrics, enabling proactive insights and operational efficiency.

Qualifications

  • 6+ years in data science or analytics, end-to-end ownership of business problems.
  • Strong SQL and Python, with production-quality data models and metrics.
  • Experience building NLP/LLM-based models with evaluation and monitoring.
  • Forecasting/time-series modeling for operational planning.
  • Data engineering intuition to unify data across systems.

Responsibilities

  • Build and maintain a quality scoring classifier for support interactions using NLP/LLM approaches.
  • Design new support performance metrics beyond volume and satisfaction.
  • Improve forecasting models for support volume, capacity, and staffing.
  • Link support interactions to member lifecycle data for retention analysis.
  • Translate business needs into scalable data solutions with stakeholders.
  • Create dashboards, reports, and decision-support tools for leadership.
  • Use SQL and Python to produce production-ready data insights.

Skills

Clear communication to non-technical
Cross-functional collaboration
Data engineering intuition
Forecasting/time-series
ML workflow design

Tools

Databricks
AWS
dbt
Snowflake

Job description

Oura is seeking a Senior Data Scientist to partner with the Member Experience team. You will build data systems and models to improve member support, retention, and outcomes, impacting decisions across MX analytics, operations, and business strategy.

You will design scalable data solutions, dashboards, and dashboards that link support data to lifecycle metrics, enabling proactive insights and operational efficiency.

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