Senior Data Scientist, 5+ Years of Experience job at Snap Inc. Seattle, WA.
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's three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.
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.
Knowledge, Skills & 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 strong product sense and product understanding.
- Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner.
Minimum Qualifications
- 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.
Preferred Qualifications
- 5+ years of experience using SQL or similar big data querying languages.
- 5+ years of experience with programming languages 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.
Benefits
Paid parental leave; comprehensive medical coverage; emotional and mental health support programs; competitive compensation with equity (RSUs).
Compensation
Base salary ranges: Zone A (CA, WA, NYC): $184,000‑$276,000 annually; Zone B: $175,000‑$262,000 annually; Zone C: $156,000‑$235,000 annually. Position eligible for equity in the form of RSUs.
Equal Opportunity Employer
Snap is proud to be an equal opportunity employer, and is 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. EOE, including disability/vets.
#J-18808-LjbffrSenior Data Scientist, 5+ Years of Experience at Snap Inc Seattle, WA in seattle at Unknown Company
This position is listed as full time and onsite.