Rockerbox with DoubleVerify empowers marketing executives to confidently make data-driven decisions, helping brands such as Tula, Figs, & Burton with the strategic decision-making that drives growth. To do so, Rockerbox offers a unique suite of product lines that centralize data & 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 & questions. To learn more, visit https://doubleverify.com/products/advertisers/prove

As a Senior Data Scientist, you will take full ownership of statistical modeling, ensuring that marketers have precise actionable insights into campaign effectiveness. This role includes opportunities for exploring new statistical methodologies & applying existing methodologies (with potential refinements) to new datasets. If you enjoy a combination of data wrangling, optimizing statistical models, & working at the intersection of data science & product, this is the role for you.

Responsibilities

• Conduct exploratory data analysis, engineer features in order to build statistically sound models that are interpretable & aligning with domain knowledge
• Adapt, optimize, & iterate on the current modelling packages, modifying open source packages to adapt our need
• Stay up to date with the latest causal inference & experimental design techniques.
• Translate complex business asks into rigorous mathematical problems and, conversely, use data-driven storytelling to communicate mathematical results as clear, actionable business insights to external stakeholders
• Provide code reviews & feedback on system/model design for team members
• Work closely with product & engineering to integrate data science projects into the Rockerbox platform.

Requirements

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

Nice to Haves

• SQL for data wrangling
• Applying Bayesian techniques to predictive modelling problems
• Working with AWS cloud technologies
• Experience using Probabilistic programming libraries, e.g. STAN, PyMC, numpyro 
• Familiarity with marketing analytics concepts such as campaign allocation, measurement or budget optimization.

The successful candidates starting salary will be determined based on a number of non-discriminating factors, including qualifications for the role, level, skills, experience, location, & 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 [$107,000 - $193,000]. This role will also be eligible for bonus/commission (as applicable), equity, & 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, & recognize that the person we hire may be more or less experienced than this job description as posted.

Please note, there may be in-person interviews at one of our offices.

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