Role Overview
Snap Inc is hiring a Senior Data Scientist, Level 5. This is a full-time role in Seattle, Washington. Part of Snap Inc's Data Science hiring, posted last week. The posted range is $190k to $284k. Full responsibilities, required qualifications, and the apply link are listed in the description below.
Salary Context
This role offers $190k-$284k. The median for Senior-level Data Science roles is $144k-$222k (based on 20 listings). 29% above median.
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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 Senior 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 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
- 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.
If you have a disability or special need that requires accommodation, please don't be shy and provide us some information.
"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.
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 Initiative for Hiring, where applicable).
Our 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.
Benefits
Paid Sick Days, Parking, Prescription Drug Coverage, Employee Referral Program, Retirement / Pension Plans, Tuition Reimbursement, Life Insurance
Skills
A/B Testing, Actuarial Skills, Analysis Skills, Artificial Intelligence (AI), Best Practices, Big Data, Communication Skills, Computer Science, Cross-Functional, Data Analysis, Data Modeling, Data Quality, Data Science, Data Sets, Digital Media, Diversity, Economics, Federal Laws and Regulations, Legal, Machine Learning, Mathematics, Medical Conditions, Medical Genetics, Metrics, Mobile Technology, Online Advertising, Performance Analysis, Product Design, Product Engineering, Product Marketing, Programming Languages, Python Programming/Scripting Language, Quantitative Analysis, R Programming Language, Reporting Dashboards, SQL (Structured Query Language), Scalable System Development, Social Media, State Laws and Regulations, Statistical Modeling, Statistics, Team Lead/Manager, Time Management, Trend Analysis, Workflow Analysis
About the Company:
Snap Inc
Our Story
The name may have changed over the years, but the commitment made when the forerunner of SNAP (Spokane Neighborhood Action Partners) formed in 1966 remains its guiding purpose today. SNAP’s mission was, and is, to provide people of low income with access to needed resources, and to help them make the kinds of connections that create opportunity. Our goal always has been to help build a vibrant community that treats everyone with dignity and respect by advocating for that which is fair, honorable and equitable.
The foundation for what is now SNAP got its start in the summer of 1966, when Father Frank Bach, then the director of Catholic Charities in Spokane, enlisted the assistance of the St. Vincent DePaul Society to establish three community centers, in Hillyard, East Central and West Central Spokane, each with a goal of helping low-income people meet their emergency needs as well as to provide a multitude of services within those communities.
These centers and the community-based programs they initiated were so successful that the Spokane Community Action Agency took over the administration of the neighborhood centers. Unfortunately, that agency lost its funding in the summer of 1973. The programs would have been lost were it not for the intervention of a number of community leaders. New funding was secured and Catholic Charities again administered the program.
Striving to fill growing needs, the Neighborhood Centers had developed an annual budget in excess of $4 million by 1985 and were growing beyond the scope of Catholic Charities. On September 12, 1985, with Tom Pleas as Director, the centers became Spokane Neighborhood Centers, Inc. The incorporators were: P.J. Grabicki, Thelma Pugh, Robert Huckabay, Sheri Barnard, Clarence (Bud) Barnes, Nora Beggs, Ed Stevens and Bill Fearn. The corporation adopted bylaws on December 10, 1985.
Five years after incorporation, leadership shifted with the announced retirement of Director Pleas. The agency’s associate director, Larry Stuckart, was formally named executive director in July 1992. Julie Honekamp assumed the role of SNAP and SNAP Financial Access CEO in June of 2011.
From 1985 through the present, the agency has expanded services to meet the needs of a growing population, proving itself to be more than just “neighborhood centers.” Through continuing expansion and a variety of programs, the agency strives to facilitate long-term solutions for the people it serves.
The agency officially became Spokane Neighborhood Action Programs in December 1991, a name chosen to reflect the breadth of the agency’s operations. In Sheri S. Barnard’s Mayoral Proclamation, the agency pledged to continue providing quality services and to ensure that Spokane remains a place that cares about its citizens. In 2008, the name was officially shortened to “SNAP” and legally changed to Spokane Neighborhood Action Partners.
With a re-energized mission, vision and values statement, as well as a new visual identity, SNAP continues to respond to individual and community needs by providing a range of opportunities that offer stability to our vulnerable neighbors and encourage economic self-sufficiency for those who are able.
Company Size:
100 to 499 employees
Industry:
Nonprofit Charitable Organizations
Founded:
1966
Website:
https://www.snapwa.org/
About Snap Inc
Snap Inc
snap.com
Frequently Asked Questions
How do I apply for the Senior Data Scientist, Level 5 position at Snap Inc?
Use the Apply button above to submit your application directly to Snap Inc. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.
Where is the Senior Data Scientist, Level 5 position at Snap Inc located?
This position is based in Seattle, Washington. Snap Inc has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.
How much does the Senior Data Scientist, Level 5 role at Snap Inc pay?
Snap Inc has posted a compensation range of $190k to $284k for this position. Final offers typically vary based on candidate experience, location, and internal salary bands.
When was the Senior Data Scientist, Level 5 role at Snap Inc posted?
This role was posted on June 23, 2026 (7 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.
How much experience does the Senior Data Scientist, Level 5 role at Snap Inc require?
This is a senior-level position. Most senior roles call for 5+ years of directly relevant experience. Snap Inc lists their specific requirements in the description below, so review the must-have qualifications closely before applying.
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