Senior Data Scientist — Campaign Analytics & Modeling

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

Benefits offered by this job

Bonus/commission

Equity

Benefits

Job summary

Rockerbox with DoubleVerify seeks a Senior Data Scientist to own statistical modeling and deliver precise insights on campaign effectiveness. You will explore new techniques and refine models, applying them to Rockerbox data while collaborating with cross-functional teams.

You will communicate results as data-driven business insights to stakeholders, review code, and help integrate DS work with product and engineering. This role may involve in-person interviews at our offices.

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 Python scientific stack (NumPy, Pandas, Statsmodels, Matplotlib).
• Nice to have SQL for data wrangling, Bayesian techniques, AWS.
• Experience with probabilistic programming libraries (Stan, PyMC, numpyro).
• Familiarity with marketing analytics concepts such as campaign allocation or budget optimization.

Responsibilities

• Conduct exploratory data analysis and engineer features to build robust, interpretable models.
• Adapt, optimize, and iterate on modeling packages, modifying open-source code as needed.
• Stay up to date with causal inference and experimental design techniques.
• Translate business asks into mathematical problems and communicate results to stakeholders.
• Collaborate with product and engineering to integrate data science projects into Rockerbox.

Skills

Regression modelling

Statistical testing

Experimental design

Bayesian methods

Python stack

SQL

AWS

Probabilistic programming

Marketing analytics

Education

BA/BSc in sciences or engineering

MSc/PhD in sciences or engineering

Tools

Stan

PyMC

numpyro

Job description

Rockerbox with DoubleVerify seeks a Senior Data Scientist to own statistical modeling and deliver precise insights on campaign effectiveness. You will explore new techniques and refine models, applying them to Rockerbox data while collaborating with cross-functional teams.

You will communicate results as data-driven business insights to stakeholders, review code, and help integrate DS work with product and engineering. This role may involve in-person interviews at our offices.