Senior Data Scientist, Level 5

Snap Inc.; Palo Alto (CA); On-site; USD 190,000 - 284,000; Full time

Job summary

Snap Inc. in Palo Alto, California, is seeking a Sr. Data Scientist to turn quantitative analysis into actionable product insights and shape Snap's long‑term data strategy.

You will build models, run experiments, collaborate with cross‑functional teams, and communicate complex findings clearly. Candidates should have 5+ years in data science, strong SQL and Python skills, and a track record of delivering impact.

Qualifications

• Bachelor's degree or higher in a technical field; 5+ years in data science or 4+ years with a Master's; or 1+ year with a PhD.
• Strong SQL or equivalent big data querying skills (5+ years).
• Experience with Python or R and applied statistical techniques (inferential methods, A/B testing, modeling).

Responsibilities

• Apply quantitative analysis, data mining, and statistical modeling to deliver data insights for business and product decisions.
• Drive timely decisions to improve product creation, execution, and adoption.
• Collaborate with product managers, engineers, marketers, and designers.
• Identify opportunities in Snap's long-term data roadmap and inform data-driven strategy.
• Conduct ML or statistical analyses and build scalable, rigorous solutions.

Skills

SQL

Python

R

Statistical modeling

Machine learning

Education

Bachelor's degree or higher in statistics/math/CS/engineering

Job description

We’re looking for a Sr. 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
• Think creatively, proactively, and futuristically to identify and size up new opportunities within Snap's long-term roadmap for data-scientific contributions
• Conduct machine learning or statistical analyses, and build pragmatic, scalable, and statistically rigorous solutions to deliver actionable insights, accurate predictions, and effective optimizations
• Communicate best practices in quantitative analysis and develop cross‑functional partnerships
• 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
• Experience collaborating 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
• Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner
• 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
• 5+ years of post‑Bachelor’s quantitative analysis and data science experience; or a Master's degree in a technical field + 4+ years of post‑grad quantitative analysis and data science experience; or a PhD in a related technical field + 1+ years of post‑grad quantitative analysis and data science experience

Preferred Qualifications:

• 5+ years of experience using SQL or similar big data querying languages
• 5+ years of experience with programming language, such as Python or R
• 5+ 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.

Office Requirements:

"Default Together" Policy at Snap: 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.

Benefits:

Our Benefits (http://careers.snap.com/benefits) : Snap Inc. is its own community, so we’ve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you 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 $190,000-$284,000 annually.

Zone B: The base salary range for this position is $181,000-$270,000 annually.

Zone C: The base salary range for this position is $162,000-$241,000 annually.

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

Legal & EEO Statements:

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).

We are 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.

If you have a disability or special need that requires accommodation, please don’t be shy and provide us some information (https://docs.google.com/forms/d/e/1FAIpQLScV7t31iR3yYR9ztGDHJpbvL63svWpb6s0afkBkLEjGnDx4Kg/viewform).

SPECS (https://www.specs.com/): See how Snap is bringing computing into the world around us with SPECS, our next‑generation augmented reality glasses built for real life.

Snap News (https://newsroom.snap.com/): Explore the latest stories about our products, innovation, and the people shaping what's next at Snap.

Applicant and Candidate Privacy Policy (https://storage.googleapis.com/hris-assets/Applicant_and_Candidate_Privacy_Policy.pdf).