Forensic Data Scientist

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.

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

Knowledge, Skills & Abilities:

• 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)

• 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

Minimum Qualifications:

• BS/BA degree in statistics, mathematics, economics, computer science or equivalent years of experience

• 7+ years of experience in quantitative analysis & data science or a related field

• Fluency in SQL or other big data querying language

• Experience with at least one programming language (R, Python, Java, Scala)

• Experience with database tools such as BigQuery, Hadoop, Hive, and Spark

Preferred Qualifications:

• Advanced degree in applied mathematics, statistics, actuarial science, economics or related field

• Strong practical experience and theoretical understanding of basic machine learning methods with an understanding of limits and assumptions

• Experience with general analysis frameworks and tools such as scikit-learn, pandas, tensorflow, Tableau

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!