7 Doubleverify Data Scientist Jobs Hiring Near You

Job Summary:
DoubleVerify is a company that empowers marketing executives to make data-driven decisions through its suite of products. As a Data Scientist at Rockerbox, you will own testing methodologies and statistical experimentation, ensuring marketers receive precise insights into campaign effectiveness.
Responsibilities:
• Own the end-to-end development of testing methodologies, ensuring statistical robustness.
• Adapt, optimize, and iterate on the current testing packages, translating R-based methodologies into Python.
• Design and implement statistical frameworks for campaign effectiveness measurement.
• Work closely with engineering to integrate testing methodologies into the Rockerbox platform.
• Conduct exploratory data analysis to refine test parameters and ensure accuracy.
• Stay up to date with the latest causal inference and experimental design techniques.
Qualifications:
Required:
• 5+ years of experience in data science.
• Strong knowledge of statistical testing, experimental design, and regression modeling.
• Proficiency in Python (NumPy, Pandas, Statsmodels, etc.); experience adapting R-based packages is a plus.
• Familiarity with marketing analytics concepts such as campaign allocation and budget optimization.
• Ability to translate complex statistical methodologies into actionable insights.
• Strong problem-solving skills and experience working cross-functionally with engineering and product teams.
Company:
DoubleVerify is a software platform that specializes in digital media verification and advertising technology. Founded in 2008, the company is headquartered in New York, USA, with a team of 501-1000 employees. The company is currently Late Stage.