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Data Scientist Ii Jobs
Company | |
Address | Toronto, Ontario, Canada |
Employment type | FULL_TIME |
Salary | |
Category | IT Services and IT Consulting,Software Development,Technology, Information and Internet |
Expires | 2023-08-25 |
Posted at | 9 months ago |
2562720
- Work cross-functionally to build and communicate key insights, and collaborate closely with product managers, engineers, designers, and researchers to help build the next experiences on Pinterest.
- Perform opportunity sizing analysis to help the product and ENG team to prioritize investment.
- Define success metrics for Trust Safety and Content Quality signal team that serve as the North Start for team efforts.
- Bring scientific rigor and statistical methods to the challenges of product creation, development and improvement with an appreciation for the behaviors of our Pinners.
- Work with product managers and engineers to design data products and run and analyze A/B experiments.
- Build and prototype analysis pipelines iteratively to provide insights at scale while developing comprehensive knowledge of data structures and metrics, advocating for changes where needed for product development.
- Develop measurement strategy to evaluate the success of ML signals including offline evaluation, experimentation and post model launch evaluation.
- A scientifically rigorous approach to analysis and data, and a well-tuned sense of skepticism, attention to detail and commitment to high-quality, results-oriented output.
- Master or Phd preferred.
- Excellent communication skills and ability to explain learnings to both technical and non-technical partners.
- Can independently research and apply state-of-art methodology to Pinterest problem.
- Extensive experience solving analytical problems using quantitative approaches including in the fields of statistics, Machine Learning, experimentation or other related fields.
- 2+ years of experience analyzing data in a fast-paced, data-driven environment with proven ability to apply scientific methods to solve real-world problems on web-scale data or strong academic experience in quantitative fields with internship experience.
- Ability to manipulate large data sets with high dimensionality and complexity; fluency in SQL (or other database languages) and a scripting language (Python or R).
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