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Senior Data Scientist, Product Intelligence at Fal

Fal No longer available

Job Description

As a Senior Data Scientist for Product Intelligence, you will architect the analytical foundation for how fal builds and grows. Your domain spans the entirety of the developer journey-from initial acquisition to long-term expansion. You will turn raw behavioral and system signals into the metrics and insights that shape our product roadmap and go-to-market strategy.

This is a high-influence role where you will act as a strategic partner to Product, Engineering, and Marketing. Beyond domain-specific analysis, you will share ownership of the foundational data systems, standards, and experimentation frameworks that serve as the source of truth for the entire company.

What you'll do
  • Architect the metrics that define user success on fal and build the measurement systems to track activation, retention, and time-to-value across both our self-serve and B2B pipelines.
  • Develop a deep, causal understanding of how customers discover, adopt, and grow on the platform to identify key expansion levers and acquisition opportunities.
  • Own the instrumentation standards and data contracts that serve as the source of truth for product telemetry and core behavioral schemas.
  • Surface insights through rigorous deep-dives and experimentation to influence product direction, pricing models, and go-to-market initiatives.
  • Develop scalable data products including automated experimentation frameworks and canonical schemas that enable teams to self-serve and move faster.
What we are looking for
  • 5+ years of experience in data science or analytics roles-ideally with API products, developer tools, or B2B SaaS platforms
  • Advanced-level SQL and proficiency in Python for analytics, modeling, and experimentation
  • Strong proficiency with dbt and orchestration tools like Dagster or Airflow for production pipeline
  • Proven ability to work across teams to influence product roadmap and strategy
  • Experience establishing data quality and governance practices, including lineage, testing, and documentation.
  • Demonstrated bias for action and the ability to thrive in fast-moving, ambiguous environments.
  • A track record of shipping data products or features, not just dashboards. You think like a Product Manager and build like an Engineer
Nice-to-haves
  • Experience working on developer-facing products or platforms.
  • Exposure to infrastructure, performance, or cost-related data (e.g., cloud usage, compute efficiency).
  • Experience operating in early-stage or fast-scaling environments.
  • Interest or experience in architecting data systems designed for agentic consumption and AI-driven product workflow
Compensation

$190,000 - $230,000 + equity + comprehensive benefits package

What we offer at fal
  • Interesting and challenging work
  • A lot of learning and growth opportunities
  • We offer visa sponsorship and will help you relocate to San Francisco.
  • Health, dental, and vision insurance (US)

Typical senior pay: $156k for Data Scientists nationally

National salary averages
Expected senior-level
$156k
Entry
Mid
Senior
Expected
$64k Market range (10th-90th percentile) $194k

Top performers earn significantly more—skill and negotiation matter.

Senior roles pay 89% more than entry—experience is well rewarded.

Strong candidate leverage

High demand and responsive wages. Negotiate confidently on all fronts.

Hiring leverage
Candidate-favored
Wage leverage
Moderate
Mobility
Good mobility

Who this leverage applies to

Stronger for: All experience levels

Where to negotiate

Base salary
Sign-on bonus
Title / level
Remote flexibility
Scope & responsibility
Start date / PTO

Likely Possible Unlikely

Use competing offers and timing to your advantage.

Does this path compound?

Job Growth →
High churn
Growth, flat pay
🚀 Compound
Growth + pay upside
⚠️ Plateau
Limited growth
Specialize
Experts earn more
Pay Upside →
Growth + pay upside

Both the field and your earnings can grow significantly.

+34%
10yr growth
New positions are being created faster than they're being filled.
A bachelor's degree is typically expected.
Typical: Bachelor's degree

Good time to build expertise—demand will chase supply.

Labor data: BLS 2024