Senior Data Scientist: Causal Analytics & Growth

DoubleVerify; New York (NY); On-site; USD 89,000 - 161,000; Full time

Job summary

A leading data-driven marketing firm in New York is seeking a Senior Data Scientist to own statistical modeling processes that deliver actionable insights for campaign effectiveness. Candidates should have over 5 years of experience in the field or equivalent degrees in sciences or engineering, along with strong skills in regression modeling and proficiency in the scientific Python stack. The position offers a competitive salary range between $89,000 and $161,000, along with bonuses, equity, and benefits.

Qualifications

• 5+ years of industry experience with a BA or BSc in sciences or engineering.
• 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 for statistically sound models.
• Adapt and optimize current modelling packages to meet needs.
• Stay updated with the latest causal inference and experimental design techniques.
• Translate complex business asks into mathematical problems and communicate results clearly.
• Provide code reviews and feedback on system/model design.
• Collaborate with product and engineering to integrate data science projects.

Skills

Regression modelling

Statistical testing

Experimental design

Python (NumPy, Pandas, Statsmodels, Matplotlib)

SQL

Education

BA or BSc in sciences or engineering

MSc or PhD degree in sciences or engineering

Tools

AWS

Probabilistic programming libraries (e.g., STAN, PyMC, numpyro)

Job description

A leading data-driven marketing firm in New York is seeking a Senior Data Scientist to own statistical modeling processes that deliver actionable insights for campaign effectiveness. Candidates should have over 5 years of experience in the field or equivalent degrees in sciences or engineering, along with strong skills in regression modeling and proficiency in the scientific Python stack. The position offers a competitive salary range between $89,000 and $161,000, along with bonuses, equity, and benefits.