Senior Data Scientist: Campaign Analytics & Modeling - Equity

DoubleVerify; Oregon; Hybrid; USD 115,000 - 196,000; Full time

Job summary

DoubleVerify, in partnership with Rockerbox, is seeking a Senior Data Scientist to own statistical modeling and deliver precise actionable insights on campaign effectiveness. You’ll explore new methodologies and adapt existing ones to new datasets, combining data wrangling with product-facing analytics.

Work closely with product and engineering to integrate data science into the Rockerbox platform, communicate results to stakeholders, and mentor team members.

Qualifications

• 5+ years of industry experience with a BA or BSc in sciences or engineering, or 2+ years with MSc/PhD.
• Strong knowledge of regression modelling, statistical testing and experimental design.
• Proficiency in scientific Python stack (NumPy, Pandas, Statsmodels, Matplotlib etc.).

Responsibilities

• Conduct exploratory data analysis and engineer features to build interpretable models.
• Adapt and iterate on modelling packages and modify open source code as needed.
• Stay up to date with causal inference and experimental design techniques.
• Translate business questions into rigorous mathematical problems and communicate results to stakeholders.
• Provide code reviews and feedback on system/model design.
• Collaborate with product and engineering to integrate data science into Rockerbox.

Skills

Data analysis

Statistical modeling

Experiment design

Communication of insights

Education

BA/BSc in sciences or engineering

MSc/PhD in sciences or engineering

Tools

NumPy

Pandas

Statsmodels

Matplotlib

STAN

PyMC

numpyro

SQL

AWS

Job description

DoubleVerify, in partnership with Rockerbox, is seeking a Senior Data Scientist to own statistical modeling and deliver precise actionable insights on campaign effectiveness. You’ll explore new methodologies and adapt existing ones to new datasets, combining data wrangling with product-facing analytics.

Work closely with product and engineering to integrate data science into the Rockerbox platform, communicate results to stakeholders, and mentor team members.