Senior Data Scientist, Snap
$156-276k
Salary dependent on location. + This position is eligible for equity in the form of RSUs.
4+ days a week in office
Social media & camera company
Posted today
Social media & camera company
1001+ employees
Posted today
$156-276k
Salary dependent on location. + This position is eligible for equity in the form of RSUs.
4+ days a week in office
1001+ employees
Company mission
To empower people to express themselves, live in the moment, learn about the world, and have fun together.
Role
Who you are
- We’re looking for a Sr. Data Scientist to join Snap Inc
- 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
- BS/BA degree in statistics, mathematics, economics, computer science, engineering or related field or equivalent years of experience
- 5+ years of experience in quantitative analysis & data science or a related field
Desirable
- 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 techniquesAdvanced 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
What the job involves
- 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
Our take
Snap is the social media giant that owns Snapchat, a social media mobile app released in 2011. Created to serve as a more emotive communication form than texting, the app has gained mass popularity, reaching upwards of 400 million daily users worldwide.
After rejecting a billion dollar acquisition from Meta (then Facebook) in 2013, Snap has found itself in competition with the social media giant, particularly with Instagram. Despite this, the company has marked a place for itself in the ever competitive social media space through developing features like a Discover tab, augmented reality lenses, in-app games, ads and monetisation options, as well as launching its paid service, Snapchat+.
Snap has so far not earned an annual profit since going public in 2017, but as Snapchat's user base has continually increased it has nearly closed the gap. Like other tech companies it suffered in late 2022 due to a surprise drop in advertising revenue, but has been rebuilding to its former trajectory since then. Given Snapchat's lasting popularity amongst young people, further success appears likely.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 7 rounds)
May 2016
$1.8bn
SERIES F
Mar 2015
$200m
SERIES E
Total funding: $2.6bn
Company benefits
- Paid maternity, paternity and family caregiver leave
- Adoption, surrogacy, infertility and fertility preservation benefits
- Backup child care coverage, caregiver assistance and digital maternity care support
- Short-term disability, long-term disability, life insurance and AD&D insurance
- Comprehensive medical coverage, including PPO, HSA and HMO options
- Dental coverage, including orthodontia benefits
- Vision coverage, including LASIK benefits
- Gym perks and discounts
- Team fitness classes, hikes and races
- Sports leagues
- Cooking and nutritional workshops
- Generous time off and leave programmes
- Meditation and yoga classes
- Emotional and mental health support programmes and apps
- Social gatherings, team outings and volunteering programmes
- Speaker series, classes and subscriptions to educational programmes
- Snap Inc. provides a 401(k) plan that allows you to save on a pre-tax, Roth and after-tax basis for your retirement (yes, we even have the Mega Backdoor option!)
- Rocket Lawyer memberships
- Financial education programmes
- Compensation packages that let you share in Snap's long-term success!
- Have a teammate going through a tough time? Lend them a hand through our internal Snap-a-wish programme! We'll work hard to make sure they get the support they need.
Company values
- We Are Kind - We solve problems through action, make high-quality decisions and think with a strategic mindset
- We Are Smart - We solve problems through action, make high-quality decisions and think with a strategic mindset
- We Are Creative - We gracefully manage ambiguity, cultivate innovation and demonstrate an insatiable desire to learn
Company HQ
Sunset Park, Santa Monica, CA
Articles
Leadership
Evan Spiegel
(CEO)Graduated from Standford with a BS in Product Design.
Bobby Murphy
(CTO)Studied Mathematical and Computational Science at Stanford.
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