DoubleVerify Logo

DoubleVerify

Sr. Data Scientist I - Rockerbox

Reposted 22 Days Ago
In-Office
New York, NY
Senior level
In-Office
New York, NY
Senior level
As a Senior Data Scientist, you will conduct statistical modeling, exploratory data analysis, and collaborate with product and engineering teams to integrate data science projects.
The summary above was generated by AI

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 modeling.

  • 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 optimization.

  • 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.

Similar Jobs

5 Days Ago
In-Office or Remote
Mid level
Mid level
Information Technology
Lead Data Scientist will develop, validate, deploy, and monitor predictive ML models, design scalable data pipelines, perform advanced SQL analysis, partner with stakeholders to translate business needs into production-ready solutions, and contribute to data science best practices and governance.
Top Skills: Amazon SagemakerAWSDbtSQL
6 Days Ago
Easy Apply
Remote or Hybrid
Easy Apply
Senior level
Senior level
AdTech • Enterprise Web • Information Technology • Machine Learning • Marketing Tech • Sales
As a Staff Data Scientist, you will lead complex marketplace problem-solving, architect ML systems, mentor teams, and drive data science strategy in partnership with engineering and product management.
Top Skills: AirflowAWSAzureGCPKubeflowPythonPyTorchSQLTensorFlowTfx
10 Days Ago
Easy Apply
Hybrid
Easy Apply
Senior level
Senior level
Fintech • HR Tech
As a Staff Data Scientist at Gusto, you will drive data-informed decision-making, lead projects, collaborate with teams, and mentor others in statistical analysis and experimentation.
Top Skills: Ai ToolsPythonSQLStatistical Methods

What you need to know about the London Tech Scene

London isn't just a hub for established businesses; it's also a nursery for innovation. Boasting one of the most recognized fintech ecosystems in Europe, attracting billions in investments each year, London's success has made it a go-to destination for startups looking to make their mark. Top U.K. companies like Hoptin, Moneybox and Marshmallow have already made the city their base — yet fintech is just the beginning. From healthtech to renewable energy to cybersecurity and beyond, the city's startups are breaking new ground across a range of industries.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account