DoubleVerify Logo

DoubleVerify

Sr. Data Scientist I - Rockerbox

Reposted 16 Days Ago
In-Office
New York, NY, USA
107K-193K Annually
Senior level
In-Office
New York, NY, USA
107K-193K Annually
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.

HQ

DoubleVerify New York, New York, USA Office

New York, NY, United States

Similar Jobs

19 Hours Ago
Easy Apply
Remote or Hybrid
New York, NY, USA
Easy Apply
196K-219K Annually
Senior level
196K-219K Annually
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
4 Days Ago
Easy Apply
Hybrid
New York, NY, USA
Easy Apply
154K-225K Annually
Senior level
154K-225K Annually
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
43 Minutes Ago
In-Office
2 Locations
153K-204K Annually
Junior
153K-204K Annually
Junior
Cloud • Information Technology • Machine Learning
Design intuitive internal tools and enterprise workflows by conducting user research, mapping processes, prototyping, usability testing, and delivering high-fidelity designs. Collaborate with product, engineering, IT, security, and business stakeholders to create dashboards, portals, approvals, AI-assisted experiences, and reusable design system components while validating implementations and improving adoption and efficiency.
Top Skills: Ai-Assisted ToolsComponent LibrariesCopilotsCRMDashboardsData PlatformsDesign SystemErpFigmaHrisIntelligent SearchItsm (Ticketing)Prototyping Tools

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account