About tvScientific
tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business.
As a key member of our Data Science team, you'll be responsible for turning data into actionable insights, driving business decisions, and owning analytics projects from inception to completion. Day to day, your role will involve developing customized reporting and analytics tools to meet the unique needs of our clients.
What you'll do:
- Write production code in Python.
- Design, launch, and analyze experiments to optimize ad campaigns.
- Create reporting and analytics tools for the Data Science Team's customers.
- Translate insights from reporting tools into tvScientific's Data Science Product.
What we're looking for:
- 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.
- Teaching experience is a plus.
- Big data experience with Scala, Apache Spark, Apache Beam, and AWS Athena is a plus.
In-Office Requirement Statement:
- We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
Relocation Statement:
- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
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At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
Skills Required
- Write and review production-level code in Python.
- Strong statistics and machine learning fundamentals.
- Experience designing, launching, and analyzing experiments (A/B testing) to optimize ad campaigns.
- Experience defining and measuring the utility of reporting and analytics tools.
- Ability to translate between Data Science Analytics and Data Science Product teams.
- Strong track record of providing high-quality service to data science customers/stakeholders.
- Adtech or CTV experience.
- Teaching experience.
- Big data experience with Scala, Apache Spark, Apache Beam, and AWS Athena.
What We Do
tvScientific is the first and only CTV advertising platform purpose built for serious performance marketers. The tvScientific platform makes TV advertising accessible and measurable for brands and apps of all sizes. tvScientific offers a self-managed solution that simplifies and automates TV buying and optimization, leveraging massive data to prove the actual value of TV advertising. The platform reaches 95% of AVOD inventory using proprietary, deterministic ID technology to measure ad exposure to outcome in an approachable, radically transparent and scalable way. An Idealab company, tvScientific was co-founded by senior executives with deep roots in programmatic advertising, digital media, and ad verification. The company is headquartered in Pasadena, California. For more information, visit https://www.tvscientific.com
