Remote Senior Data Scientist, AI Products & Analytics

EvenUp

United States

Remote

USD 140,000 - 190,000

Full time

10 days ago

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Benefits offered by this job

Flexible hours
Offsite trips
Virtual team events
Health, dental, and vision insurance
Flexible PTO and holidays
Home office stipend
401k for US-based employees

Job summary

EvenUp is seeking a Senior Data Scientist to join our fast-paced, data-driven team in the United States. You will work on our AI product suite, identifying opportunities for proprietary data products and translating complex datasets into actionable insights to guide product direction.

You will partner with Product, Engineering and Operations to define KPIs, plan evaluation schemas, and build scalable analytics tools while mentoring teammates to raise data storytelling standards across the

Qualifications

  • 5+ years of experience with applied statistical techniques and advanced modeling.
  • Experience in Python or R and SQL for data querying and modeling.
  • Strong ability to translate findings into actionable business insights.
  • Experience building data-driven product solutions and methodological research.

Responsibilities

  • Identify opportunities for proprietary data products from analytics.
  • Understand product usage and translate insights into strategic plans.
  • Define KPIs with Product, Engineering and Operations.
  • Plan short/long-term annotation and evaluation schemas.
  • Communicate analysis results clearly to technical and non-technical audiences.
  • Help evolve analytics foundations: instrumentation, metric frameworks, self-serve tools.
  • Mentor teammates and elevate data storytelling across the org.

Skills

Applied statistics
Python or R
SQL
Machine learning
Data storytelling
Stakeholder communication
Mentorship

Education

Bachelor's degree
Advanced degree

Job description

EvenUp is seeking a Senior Data Scientist to join our fast-paced, data-driven team in the United States. You will work on our AI product suite, identifying opportunities for proprietary data products and translating complex datasets into actionable insights to guide product direction.

You will partner with Product, Engineering and Operations to define KPIs, plan evaluation schemas, and build scalable analytics tools while mentoring teammates to raise data storytelling standards across the

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