Senior Data Scientist — Campaign Analytics & Modeling

DoubleVerify Inc.; New York (NY); On-site; USD 115,000 - 196,000; Full time

Job summary

DoubleVerify is seeking a Senior Data Scientist for Rockerbox to own statistical modeling and deliver precise actionable insights into campaign effectiveness. This role includes exploring new methodologies and applying them to new datasets, with potential refinements to existing models.

You will wrangle data, optimize models, and work at the intersection of data science and product to support data-driven decisions for advertisers and clients.

Qualifications

• 5+ years of industry experience with a BA/BSc in sciences or engineering or 2+ years with an MSc/PhD.
• Strong knowledge of regression modelling, statistical testing and experimental design.
• Proficiency in the scientific Python stack (NumPy, Pandas, Statsmodels, Matplotlib, etc.).
• Nice to have: SQL for data wrangling.
• Experience with probabilistic programming libraries (Stan, PyMC, numpyro).
• Familiarity with AWS cloud technologies.

Responsibilities

• Conduct exploratory data analysis and engineer features to build statistically sound models that are interpretable and align with domain knowledge.
• Adapt, optimize, and iterate on current modelling packages, modifying open source packages as needed.
• Stay up to date with causal inference and experimental design techniques.
• Translate complex business asks into rigorous mathematical problems and communicate results as actionable business insights to stakeholders.
• Provide code reviews and feedback on system/model design for the team.
• Collaborate with product and engineering to integrate data science projects into the Rockerbox platform.

Skills

Regression modelling

Statistical testing

Experimental design

Python stack

SQL

Bayesian methods

AWS cloud

Education

BA/BS in sciences or engineering

MS/PhD in sciences or engineering

Tools

STAN

PyMC

NumPyro

Job description

DoubleVerify is seeking a Senior Data Scientist for Rockerbox to own statistical modeling and deliver precise actionable insights into campaign effectiveness. This role includes exploring new methodologies and applying them to new datasets, with potential refinements to existing models.

You will wrangle data, optimize models, and work at the intersection of data science and product to support data-driven decisions for advertisers and clients.