Summary written by USA Jobs 24 from Snap's advert and our data on 17,030 current US jobs. How we check every job
At a glance
Snap is hiring a Data Scientist, Level 4 in Los Angeles, CA; Seattle, WA +4. It is a full-time role in Data, AI & Analytics, asking for at least 3 years of experience, first listed on November 1. The advertised pay is $157,000–$235,000 a year. The description mentions Statistics, Data modelling, SQL, Python and Machine learning. Snap has 99 other openings in the US, 81 of them in Los Angeles, CA. Across all employers on USA Jobs 24 there are 48 Data & AI openings in Los Angeles, CA today; the typical one asks for 7 years and advertises about $202,000 a year at the midpoint.
How the pay compares
Snap advertises $157,000 to $235,000 a year, a midpoint of $196,000 a year. Where an offer lands in a range usually depends on experience and on the exact location. That is lower than about 69% of the 559 data & AI jobs in California that publish a yearly rate on USA Jobs 24, where the typical midpoint is $229,000 a year. To see roughly what this leaves after federal and California tax, try our take-home pay calculator.
Skills in this advert
How often each skill named in this advert appears across the 1,778 data & AI jobs we list today. Python is the most widely requested (46% of jobs), while Data modelling is the least common (8%). Widely requested skills are what employers expect as a baseline; rarer ones show what is special about this job.
Paste your resume and this advert into our resume match tool to see which of these words your resume already covers.
Before you apply
- Check it is still open. We found this job on Snap's Workday site on November 1 and checked it again November 4, 5:17 AM ET. When an employer takes a job down, we remove it at our next daily update.
- Check the location works for you. This role is based in Los Angeles, CA (or one of 5 other locations). If you would need to move, ask whether relocation help is offered.
- Match the experience. The advert asks for at least 3 years of experience. If you are a little short, a close match on the skills in the advert can still win an interview.
- Tailor your resume. Use the advert's own words, such as Statistics, Data modelling and SQL, wherever they are true for you. Our resume guide shows how.
- Know your number. Decide the lowest offer you would accept before the first call. Our salary negotiation guide explains how to ask for more.
- Apply only through Snap's own site. Our Apply button goes straight to Snap's Workday page. If anyone contacts you about this job and asks for money, gift cards or bank details, stop and check it with our scam checker. Read how to spot a fake job offer.
About hiring at Snap
Snap has 100 openings on USA Jobs 24 today across 7 states. Most are in software & IT (32), data & AI (16) and marketing (10). The biggest locations are Los Angeles, CA (82), New York, NY (51) and Palo Alto, CA (50). None of them is fully remote, 1% are open to entry-level candidates and 100% show pay. We collect Snap's jobs every day straight from its own careers system (Workday), never from job boards or agencies.
The employer's advert
This is Snap's own description of the job, copied word for word from its careers site. We have not edited it.
Show the full advert from SnapHide the advert927 words
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: 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.
The base salary range for this position is $157,000-$235,000 annually.The base salary range for this position is $149,000-$223,000 annually.The base salary range for this position is $133,000-$200,000 annually.This position is eligible for equity in the form of RSUs.If you believe this job description is missing required pay transparency information, please submit a report through this form:Job Description Pay Range Disclosure.
USA Jobs 24 copied this listing from Snap's official careers site on November 1, 2026 and checked it again November 4, 5:17 AM ET. Snap will never ask you to pay to apply or to buy equipment with a check they send you. If anyone does, it is a scam.
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