Essential Responsibilities:
Minimum Qualifications:
Preferred Qualification:
Advanced degree in a quantitative field (e.g., Data Science, Computer Science, Engineering, Statistics, Mathematics, Economics) with a strong analytical and problem-solving mindset.
8+ years of experience in Product Data Science, including A/B testing, experimentation, advanced analytics, and applied machine learning.
Proven ability to lead and manage data science and analytics projects end-to-end, from ideation to delivery, leveraging data modeling, machine learning algorithms, and advanced analytics techniques.
Advanced proficiency in SQL and Python, with expertise in extracting, processing, and generating actionable insights from large, complex datasets.
Hands-on experience with modern data tools and platforms, including Jupyter Notebooks, BigQuery, Teradata, Hadoop, and Hive.
Exceptional communication and data storytelling skills, adept at translating complex analyses for both technical and non-technical audiences and influencing cross-functional decisions.
Travel Percent:
The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .
The US national annual pay range for this role is $152,500 to $262,350
Our Benefits:
Any general requests for consideration of your skills, please
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