Data Scientist, Level 4

Data Scientist, Level 4 at Snap Inc.

Snap Inc is a technology company that empowers people to express themselves, live in the moment, learn about the world, and have fun together through its three core products:
Snapchat, Lens Studio, and Spectacles.

The team leverages massive data sets to deliver actionable insights that drive business value. As truth seekers and truth tellers, we relay what the data says without bias, improving decision‑making quality and speed across the organization.

• Apply your expertise in quantitative analysis, data mining, and statistical modeling to deliver impactful, objective, and actionable data insights that enable informed business and product decisions.
• Drive informed and timely decision‑making that improves and optimizes how our products are created, executed, and adopted.
• Collaborate with product managers, engineers, product marketers, and designers to translate insights into tangible outcomes.

• Expertise using data modeling skills to identify key product trends and new product opportunities.
• Ability to design, implement, and track core metrics to analyze product performance.
• Ability to create visuals, dashboards, and reports to communicate insights effectively.
• Ability to collaborate with engineers, product managers, and other cross‑functional teams.
• Ability to initiate and drive projects to completion with minimal guidance.
• Understanding of Snapchat with strong product sense.

• Bachelor’s Degree in a relevant technical field such as statistics, mathematics, economics, computer science, engineering, or equivalent practical experience.
• 3+ years of post‑Bachelor’s experience in quantitative analysis and data science; or a Master’s degree + 2+ years of relevant experience; or a Ph.D. in a related field.

• 3+ years of experience using SQL or similar big data querying languages.
• 3+ years of experience with programming languages such as Python or R.
• 3+ years of experience with applied statistical techniques such as inferential methods, causal methods, A/B testing, or statistical modeling.
• Advanced degree in applied mathematics, statistics, actuarial science, economics, or related field.
• Experience in a product‑focused role at a social media, online advertising, digital media, or mobile technology company.
• Experience using machine learning and statistical analysis to build data‑driven product solutions or perform methodological research.

If you have a disability or special need that requires accommodation, please let us know.

Snap is a proud equal opportunity employer committed to providing employment opportunities regardless of race, religion, color, national origin, ancestry, physical or mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws.

EOE, including disability/vets.

Compensation ranges vary by location:

• Zone A (CA, WA, NYC): $157,000–$235,000 annually.
• Zone B: $149,000–$223,000 annually.
• Zone C: $133,000–$200,000 annually.

This position is eligible for equity in the form of RSUs.

Snap Inc. offers comprehensive benefits, including paid parental leave, medical coverage, mental health support programs, and compensation packages that let you share in Snap’s long‑term success.