Data Scientist, Level 4

Snap; Los Angeles (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

Snap Inc. is seeking a Data Scientist to join the Data Science and Insights team in Los Angeles. You will apply quantitative analysis, data mining, and statistical modeling to deliver objective, actionable insights that influence business and product decisions.

You will collaborate with product managers, engineers, designers, and marketers to optimize how our products are built and adopted, while leveraging AI tools to create scalable data solutions with rigorous accuracy and integrity.

Qualifications

• Bachelor's degree or equivalent in a technical field (statistics, math, CS, econ).
• 3+ years in data science with quantitative analysis or 2+ years with a Master's degree or PhD.
• Experience with SQL or similar big data querying languages.
• Experience with Python or R and applied statistical techniques.

Responsibilities

• Apply quantitative analysis, data mining, and statistical modeling to deliver actionable insights for business and product decisions.
• Drive informed decisions to improve product development and adoption.
• Collaborate with product managers, engineers, marketers, and designers.
• Utilize AI tools to develop scalable data solutions while maintaining statistical integrity.

Skills

SQL

Python/R

Data modeling

A/B testing

Statistical analysis

Dashboards

Education

Bachelor's degree in statistics, mathematics, economics, computer science, engineering or related field

Master's degree or PhD in a technical field (preferred)

Tools

SQL

Python

R

Job description

Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together.

The Company operates Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world, and Specs Inc., a wholly-owned subsidiary dedicated to making computing more human, in addition to Bitmoji, Saturn, and other digital services.

The Data Science and Insights team seeks to leverage our massive data sets into actionable insights that deliver business value. As truth seekers and truth tellers, we relay what the data says without bias, even when inconvenient or difficult. We aim to improve decision-making quality and speed across the organization to enable a deeper understanding of our customers and products. 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.

We're looking for a Data Scientist to join Snap Inc.

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 to more efficiently develop scalable data solutions, while maintaining rigorous standards for accuracy and statistical integrity.

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.

Default Together Policy

At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a "default together" approach and expect our team members to work in an office 4+ days per week.

Equal Opportunity

At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. 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 Initi