(USA) Staff, Data Scientist

Filled
February 23, 2026
Apply Now

Job Description

🎯 What Makes This Role Important

You’ll work on:

  • Customer behavior across 100M+ households
  • Omnichannel engagement (digital + physical retail)
  • Strategic business decisions visible to executives
  • Causal inference and experimentation to drive revenue growth

This is not just modeling — it’s business decision science.

🧠 Core Responsibilities (Simplified)

1️⃣ Customer & Marketing Analytics

  • Identify drivers of customer engagement and retention.
  • Measure marketing and product impact using causal inference.
  • Design KPIs to evaluate customer behavior.

2️⃣ Experimentation & Optimization

  • Design A/B tests and experiments.
  • Quantify impact of business actions.
  • Recommend “High Value Actions” to leadership.

3️⃣ Data Products & Infrastructure

  • Own SQL datasets, feature pipelines, and data views.
  • Collaborate with engineering teams on data requirements.
  • Build scalable analytics workflows.

4️⃣ Executive Communication

  • Translate complex analysis into business stories.
  • Present to senior leadership and C-suite.
  • Create compelling visual narratives.

5️⃣ Leadership Without Authority

  • Mentor junior data scientists.
  • Influence cross-functional stakeholders.
  • Drive initiatives across teams.

🛠️ Required Skills (Real Interpretation)

Technical

  • SQL (very strong — core requirement)
  • Python or R
  • Machine learning fundamentals
  • Causal inference & experimentation
  • Big data platforms (BigQuery or similar)
  • Data visualization & storytelling

Business

  • Product thinking
  • Marketing / customer analytics understanding
  • Executive communication
  • Strategic decision making

⭐ Preferred Background

  • Retail or e-commerce analytics
  • Consulting or MBA
  • Experience influencing senior leadership
  • Feature store or data product ownership

💰 Salary Range (Very Competitive)

Location-dependent:

  • $132,000 – $286,000 base
  • Bonus + stock + benefits

This is strong compensation for a Staff-level IC role in industry.

📊 Seniority Level Explained

Typical hierarchy:

  • Data Scientist
  • Senior Data Scientist
  • Staff Data Scientist ← this role
  • Principal Data Scientist
  • Director

Usually requires 6–10+ years experience despite minimum listed.

🚀 Career Value

This role builds expertise in:

  • Customer analytics at massive scale
  • Causal inference (very high demand skill)
  • Executive-level influence
  • Data product ownership

Common future paths:

  • Principal Data Scientist
  • Director of Data Science
  • VP Analytics
  • Product Analytics Leader
  • Chief Data Officer track

🔥 Who This Role Is Perfect For

You would fit well if you:

✅ Enjoy business impact more than pure research
✅ Like influencing strategy
✅ Are strong in SQL + experimentation
✅ Want leadership without people management (yet)
✅ Enjoy storytelling with data

⚠️ Important Consideration

This role is USA-based and typically requires:

  • U.S. work authorization
  • Presence near office hubs (NJ or CA)