Job Details
Location:
64 Market St, Venice, CA 90291, USA
64 Market St, Venice, CA 90291, USA
Posted:
Oct 13, 2019
Job Description
We’re looking for a Product Data Scientist to join Team Snapchat at our Los Angeles HQ! Working alongside engineering, product design, product management and our Augmented Reality design team, you will create data-based approaches to solving difficult business and product problems and generate business and product insights to help Snap ship the best product in the world.
What you’ll do:
- Collaborate with Product Management, AR-design, Product Design and Engineering and apply your expertise in quantitative analysis to create and scale insights
- Create and test hypotheses
- Create visuals and dashboards to effectively report your insights
- Communicate your findings and help making date-informed decisions
Minimum qualifications:
- Experience with causal inference techniques, experimental design and/or A/B testing
- Fluency in SQL or other big data querying language
- Experience with a programming language, such as Python
- Experience with creating visuals and dashboards in BI tools (e.g. Looker, Tableau, Power BI, Google Data Studio)
Preferred qualifications:
- 2+ year of experience in a product-focused role at a social media and/or mobile technology company
- 2+ years of experience in quantitative analysis & data science or a related field
- Bachelor’s degree in math, statistics, computer science, or other quantitative field
- Master or Ph.D degree in math, statistics, computer science, or other quantitative field
- Strong statistical knowledge
- Experience with analytical packages such as SciPy or R
- A team player who can collaborate with engineers, product managers, designers and other cross-functional teams
- An understanding of Snapchat with great product sense and product understanding
- Excellent interpersonal skills, including verbal and written communication
- High attention to detail
- Ability to initiate and drive projects to completion with minimal guidance
- Ability to communicate the results of analyses in a clear and effective manner to a senior audience