Sr. Data Scientist, tvScientific

About the role

MtvScientific is seeking a Data Scientist to join our dynamic team. The ideal candidate will have a strong background in statistics and machine learning, and a passion for transforming data into actionable insights.

Responsibilities

• Write production code in Python.
• Design, launch, and analyze experiments to optimize ad campaigns.
• Create reporting and analytics tools for tvScientific's clients.
• Translate insights from reporting tools into tvScientific's Data Science Product.

Requirements

• Ability to write and review production-level code in Python.
• Strong statistics and ML fundamentals.
• Desire to work in a fast-growing environment—comfortable with ambiguity, ownership, scaling new products, and an experimental, iterative development process.
• Experience defining and measuring the utility of new reporting and analytics tools.
• Ability to quickly translate between DS Analytics & DS Product team.
• Strong track record of providing high-quality service to the DS team’s customers/stakeholders.
• Adtech or CTV experience.
• Bachelor’s degree in computer science, statistics, a related field or equivalent experience.
• Big data experience with Scala, Apache Spark, Apache Beam, and AWS Athena is a plus.
• Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs.
• Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review).
• High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables.

Qualifications

• In-Office Requirement Statement
• Relocation Statement: This position is not eligible for relocation assistance.

Benefits

At Pinterest, we offer a comprehensive benefits package including health insurance, retirement plans, and paid time off. Please visit our PinFlex page to learn more about our working model.

Pay

$139,764—$287,749 USD

Schedule

Flexible schedule to accommodate the needs of the role and the company.