Lead Data Scientist - Causal ML & Product Impact (RSU)

Snap; New York (NY); On-site; USD 195,000 - 343,000; Full time

Benefits offered by this job

RSUs

Medical coverage

Parental leave

Emotional health support

Job summary

Snap Inc in New York seeks a Lead Data Scientist to guide experimentation and causal inference, architect scalable data products, and translate complex analyses into strategic actions that align with OKRs.

You will lead medium to large projects across teams, partner with product managers, engineers and researchers, and deliver timely insights that inform product strategy and growth while fostering an inclusive, high-performing team.

Qualifications

• 7+ years of quantitative analysis and/or data science experience.
• Experience leading data science projects with cross-functional teams.

Responsibilities

• Lead experimentation and causal inference initiatives.
• Architect and deliver scalable data products for internal tooling.
• Partner with product, engineering and research teams to drive product strategy.

Skills

Python

SQL

Machine learning

Causal inference

Experimentation

Leadership

Cross-functional collaboration

Effective communication

Education

Bachelor's degree in statistics / mathematics / computer science or related field

Tools

SciPy

EconML

Pandas

SQL

Job description

Snap Inc in New York seeks a Lead Data Scientist to guide experimentation and causal inference, architect scalable data products, and translate complex analyses into strategic actions that align with OKRs.

You will lead medium to large projects across teams, partner with product managers, engineers and researchers, and deliver timely insights that inform product strategy and growth while fostering an inclusive, high-performing team.