Data Scientist - Time Series, Data Quality & Spark Lead

Snapchat, Inc.; Portland (OR); Presencial; USD 93.000 - 124.000; Jornada completa

Descripción de la vacante

Snapchat, Inc. is seeking a contract Data Scientist in Portland, OR to join a high-impact team focused on data-driven product improvements.

You will wrangle data across environments, apply R and Spark to time-series analysis, and help improve processes from concept to delivery. You’ll mentor peers, own data integrity, and contribute to a culture of engineering excellence while delivering reliable insights under tight deadlines.

Formación

• 4+ years in data science or analytics roles.
• Experience supporting cross-functional teams.
• Curiosity and willingness to learn beyond scope.
• Ability to mentor teammates without micromanaging.
• Comfortable owning projects from concept through delivery.

Responsabilidades

• Wrangle professionalism config across environments so Portland staging mirrors production.
• Untangle Apache Spark dependency knots that slow Portland releases.
• Champion engineering excellence and continuous learning within Snapchat.
• Mentor newer mid-level hires on how Snapchat wires Time Series Analysis together.
• Own data integrity across Feature Engineering stores so Portland numbers are trustworthy.
• Lead the Organization migration to retire legacy stack.
• Drive the Computer Vision incident postmortem to stop outages.
• Resurrect flaky Innovation tests until the Portland, OR suite is trustworthy.

Conocimientos

Resilience

Cross-functional collaboration

Mentoring

Project ownership

Metrics-driven

Deadline-driven

Herramientas

Apache Spark

R

Descripción del empleo

Snapchat, Inc. is seeking a contract Data Scientist in Portland, OR to join a high-impact team focused on data-driven product improvements.

You will wrangle data across environments, apply R and Spark to time-series analysis, and help improve processes from concept to delivery. You’ll mentor peers, own data integrity, and contribute to a culture of engineering excellence while delivering reliable insights under tight deadlines.