Data Scientist, Level 4

Snap Inc.; Palo Alto (CA); On-site; USD 157,000 - 235,000; Full time

Benefits offered by this job

Paid parental leave

Comprehensive medical coverage

Equity in the form of RSUs

Job summary

Snap Inc. is seeking a Data Scientist to leverage extensive data sets to deliver actionable insights. The role involves collaboration with product managers and engineers to improve product performance using advanced analytical techniques. Candidates should have extensive experience in quantitative analysis and data science, with a strong grasp of SQL, Python, and statistical modeling.

The position offers a competitive salary ranging from $157,000 to $235,000 annually, along with benefits including paid parental leave and comprehensive medical coverage.

Qualifications

• 3+ years of experience in quantitative analysis and data science.
• Ability to create visuals, dashboards, and reports.
• Experience using machine learning and statistical analysis.

Responsibilities

• Apply expertise in quantitative analysis to deliver actionable insights.
• Collaborate with product managers and engineers.
• Utilize AI tools for scalable data solutions.

Skills

Quantitative analysis

Data mining

Statistical modeling

SQL

Python

R

Education

Bachelor's Degree in a relevant technical field

Master's degree or Ph.D. in a relevant field

Job description

The Data Science and Insights team seeks to leverage our massive data sets into actionable insights that deliver business value. We focus on efficient and effective analytic execution, positioning ourselves as the go-to experts with deep knowledge and expertise, constantly striving for better, faster insights from data.

As truth seekers and truth tellers, we relay what the data says without bias, even when inconvenient or difficult.

What you’ll do:

• 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 the way our products are created, executed, and adopted'
• Collaborate with product managers, engineers, product marketers, and designers
• Utilize AI tools and high‑velocity analytical workflows to develop scalable data solutions, generate actionable insights, and accelerate decision‑making while maintaining rigorous standards for accuracy, methodological integrity, data quality, and operational excellence

Knowledge, Skills and Abilities:

• Expertise using data modeling skills to identify key product trends and new product opportunities
• Ability to design, implement, and track core metrics to analyze the performance of our products
• Ability to create visuals, dashboards, and reports to effectively communicate your insights
• Ability to collaborate with engineers, product managers, and other cross‑functional teams
• Ability to initiate and drive projects to completion with minimal guidance
• An understanding of Snapchat with great product sense and product understanding
• Adaptability in learning and applying evolving AI systems and tools to remain at the forefront of data‑driven decision‑making, insights generation, and industry best practices

Minimum Qualifications:

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

Preferred Qualifications:

• 3+ years of Experience using SQL or similar big data querying languages
• 3+ years of Experience with programming language, 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 techniques
• 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 and/or mobile technology company
• Experience using machine learning and statistical analysis for building data‑driven product solutions or performing methodological research.

Benefits:

Paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that allow you to share in Snap’s long‑term success.

Compensation

In the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate’s starting pay will be determined based on job‑related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position. These pay zones may be modified in the future.

Zone A (CA, WA, NYC): The base salary range for this position is $157,000‑$235,000 annually.

Zone B: The base salary range for this position is $149,000‑$223,000 annually.

Zone C: The base salary range for this position is $133,000‑$200,000 annually.

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

Snap is proud to be an equal opportunity employer and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, 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.

We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, where applicable).