Hybrid Senior Data Scientist I - Rockerbox en Doubleverify

Rockerbox empowers marketing executives to confidently make data-driven decisions, helping brands such as Tula, Figs, and Burton with the strategic decision-making that drives growth. To do so, Rockerbox offers a unique suite of product lines that centralize data and offer diversified measurement methodologies. The foundation of Rockerbox's solution is data centralization. Atop this foundation, the platform enables marketers to choose from a range of measurement methodologies, giving customers the flexibility to choose the most appropriate approach for their specific needs and questions.

As a Data Scientist at Rockerbox, you will take full ownership of testing methodologies and statistical experimentation, ensuring that marketers have precise insights into campaign effectiveness. This role involves developing and iterating on testing frameworks (planning through analysis), with a strong emphasis on adapting and refining the existing packages for our needs. If you enjoy designing rigorous experiments, optimizing statistical models, and working at the intersection of data science and product, this is the role for you.

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

Requirements:

• 5+ years of experience in data science

• Strong knowledge of statistical testing, experimental design, and regression modelling

• 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 optimisation

• Ability to translate complex statistical methodologies into actionable insights

• Strong problem-solving skills and experience working cross-functionally with engineering and product teams

Why You’ll Love Rockerbox: At Rockerbox, you’ll find a fast-paced, results-driven environment where your work has a direct impact on our growth and the success of our clients. Our iterative development process means you’ll see your contributions come to life quickly. You’ll join a supportive, light-hearted team that values collaboration and innovation. We are committed to professional growth and will actively support your development in both technical and business domains.

The successful candidate’s starting salary will be determined based on a number of non-discriminating factors, including qualifications for the role, level, skills, experience, location, and balancing internal equity relative to peers at DV.
The estimated salary range for this role based on the qualifications set forth in the job description is between [$89,000 - $161,000]. This role will also be eligible for bonus/commission (as applicable), equity, and benefits.
The range above is for the expectations as laid out in the job description; however, we are often open to a wide variety of profiles, and recognise that the person we hire may be more or less experienced than this job description as posted.

Not-so-fun fact: Research shows that while men apply to jobs when they meet an average of 60% of job criteria, women and other marginalized groups tend to only apply when they check every box. So if you think you have what it takes but you’re not sure that you check every box, apply anyway!