In this role, you will:
- Be embedded in a specific product pod and partner with the Ads Product Manager
- Own A/B testing through the entire experimentation life cycle, including inception, creation, measurement, and recommendations.
- Explore, develop, and present insights that inform product roadmap
- Partner with the Ads Finance team to understand business metrics performance
What you bring to the table:
- 2+ years of experience working on the publisher side of the ads business (not ads marketing)
- 4+ years of experience in data science at a consumer internet company Advanced SQL skills, including highly developed QA skills and ability to write efficient and optimized code
- Practical knowledge of running and analyzing Ads A/B tests
- Strong communicator: effectively synthesize, visualize, and communicate your ideas to others
Bonus points if you have:
- Experience using Google BigQuery, Switchboard, Google Ad Manager
- Degree in Math, Physics, Statistics, Economics, Computer Science, or other quantitative fields
Compensation, Benefits & Perks:
- Quizlet is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Salary transparency helps to mitigate unfair hiring practices when it comes to discrimination and pay gaps. Total compensation for this role is market competitive, including a starting base salary of $135,000 - $175,000, depending on location and experience, as well as company stock options
- Collaborate with your manager and team to create a healthy work-life balance
- 20 vacation days (and we expect you to take them!)
- Competitive health, dental, and vision insurance (100% employee and 75% dependent PPO, HMO, VSP Choice)
- Employer-sponsored 401k plan with company match
- Access to LinkedIn Learning and other resources to support professional growth
- Paid Family Leave, FSA, HSA, Commuter benefits, Wellness benefits
- 40 hours of annual paid time off to participate in volunteer programs of choice
Other Jobs from Quizlet
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Sr. Machine Learning Engineer
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Staff Data Scientist, Analytics - Ads
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