Snap Inc. is a camera company. We believe that reinventing the camera represents our greatest opportunity to improve the way people live and communicate. Our products empower people to express themselves, live in the moment, learn about the world, and have fun together.
We’re looking for a talented Forensic Data Scientist to join Snap, Inc, as part of the Metrics Governance group within the Metrics & Insights team. As a member, you will work closely with Engineering, Product, Legal, and various other cross functional partners to build confidence in key business and internal metrics. Based out of our Los Angeles, CA, headquarters, you’ll be an indispensable part of a small but highly-leveraged team.
What you’ll do:
Partner with Engineering, Product, and business partners throughout the full lifecycle of a metric, from ideation to implementation, reporting, and continued maintenance.
Create tooling and methodologies to identify anomalies in engagement data indicative of data quality issues and subsequently triage their root cause.
Communicate findings through data visualizations and reports to various stakeholders, including non-technical business partners and senior management
Collaborate with data scientists and business owners across the company to strategically and accurately craft their public facing statements
Actively contribute to and influence the roadmap for data and metric governance initiatives across the company
Assist Legal with litigation support, such as the retention and production of Snap data
Bachelor's in math, statistics, computer science, or other quantitative field
Fluency in SQL or other big data querying language
Experience with at least one programming language (R, Python, Java, Scala); preference for Python
Experience with database tools such as BigQuery, Hadoop, Hive, and Spark
3+ years of experience in quantitative analysis & data science or a related field
MA/MS/PhD degree in math, statistics, computer science, or other quantitative field
Strong practical experience and theoretical understanding of basic machine learning methods with an understanding of limits and assumptions
Experience in both developing data-driven solutions and supporting them in production
Practical experience and theoretical understanding of A/B testing and platforms
Experience and theoretical understanding with causal inference and discovery at scale
Ability to gather insights from messy data and tell a story with effective communication
Ability to explain technical concepts and results of analyses to non-technical audiences
Experience in delivering results in a cross-functional environment
Experience with data pipeline monitoring and scheduling platforms (e.g., Airflow)
Experience with general analysis frameworks and tools such as scikit-learn, pandas, tensorflow, Tableau
Ability to initiate and drive projects to completion with minimal guidance
Being comfortable in a fast paced work environment
Ability to comprehend and debug complex systems that might cross team and tool boundaries across the company
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. If you have a disability or special need that requires accommodation, please don’t be shy and contact us at [email protected]
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 maternity & paternity leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long-term success!