Senior Data Scientist, Product Analytics & AI Insights

Socket.dev

Austin (TX)

On-site

USD 140,000 - 190,000

Full time

8 days ago

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Benefits offered by this job

Medical coverage
Family benefits
Paid holidays
Flexible time off
Volunteer time off
401(k) match
Tuition reimbursement
Financial planning
Debt retirement savings match
Snacks

Job summary

Realtor.com is seeking a Senior Analytics Partner for Owners and Sellers to drive data-informed decision-making, experimentation, and reporting that shape product development and strategy. You will collaborate with Product, Engineering, Finance, Marketing, and BI to align on objectives and deliver actionable insights.

You will lead learning agendas, multivariate tests, and self-service reporting to empower cross-functional teams and surface high-impact opportunities across the organization.

Qualifications

  • MS/BS in computer science, statistics, mathematics, operations research or related fields.
  • 5+ years of relevant experience in data science, ML or applied statistics with product analytics or experimentation.
  • Strong technical skills in SQL, Python, Tableau, and Amplitude.

Responsibilities

  • Lead experimentation, business analytics, and reporting to influence product roadmap and business strategy.
  • Partner with Product, Engineering, Finance, Marketing, and BI to align on key objectives.
  • Define success metrics and deliver self‑service AI-enabled reporting to empower teams.

Skills

SQL
Python
Tableau
Amplitude
AI tools
ETL pipelines

Education

MS/BS in CS/Stats/Math/OR

Tools

Streamlit
Claude/MCP
n8n
Windsurf
dbt
Airflow
Amplitude

Job description

Realtor.com is seeking a Senior Analytics Partner for Owners and Sellers to drive data-informed decision-making, experimentation, and reporting that shape product development and strategy. You will collaborate with Product, Engineering, Finance, Marketing, and BI to align on objectives and deliver actionable insights.

You will lead learning agendas, multivariate tests, and self-service reporting to empower cross-functional teams and surface high-impact opportunities across the organization.

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