Data Scientist, Rockerbox

Testing

Salary not provided
Python
NumPy
Pandas
Senior and Expert level
Remote from US
Rockerbox

Data-driven marketing measurement & analysis

Open for applications

Rockerbox

Data-driven marketing measurement & analysis

21-100 employees

B2BEnterpriseMarketplaceMarketingSaaSAdvertising

Open for applications

Salary not provided
Python
NumPy
Pandas
Senior and Expert level
Remote from US

21-100 employees

B2BEnterpriseMarketplaceMarketingSaaSAdvertising

Company mission

To build technology that enables companies to grow faster and more easily.

Role

Who you are

  • 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
  • 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

What the job involves

  • 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
  • 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

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Insights

-15% employee growth in 12 months

Company

Company benefits

  • Remote-first - work anywhere in the US
  • Health, vision, and dental insurance
  • Unlimited PTO
  • 10 Paid Holidays
  • Rockerbox Unplugged - we shut down the last week of the year
  • 12 weeks Parental Leave for all parents of a new child
  • Traditional and ROTH 401k options
  • $1000 annual training stipend
  • Rockertreat! Annual company get-together

Funding (last 2 of 3 rounds)

Mar 2016

$0.5m

SEED

Mar 2014

$0.5m

SEED

Total funding: $1.1m

Our take

Rockerbox is a marketing attribution platform designed to help direct-to-consumer (DTC) brands optimize their marketing strategies. The platform offers companies a unified access point to analyze both online and offline marketing channels, providing a view of campaign performance. By bringing all data into one place, Rockerbox helps businesses make informed decisions about where to allocate their marketing budgets.

Given that the DTC industry suffers from a high marketing wastage rate - estimated at over 50% - Rockerbox's insights are especially valuable. With nearly $300B spent annually on marketing and advertising in North AMerica alone, even small reductions in inefficiency can result in significant cost savings for brands. By providing a clearer understanding of marketing effectiveness, Rockerbox offers DTC companies the potential to maximize their investments and improve return on ad spend.

Since its founding in 2013, Rockerbox has seen steady growth and success. With this, the company has secured high-profile clients, such as The Wall Street Journal, and it will no doubt continue on an upward trajectory in the coming years.

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Steph

Company Specialist at Welcome to the Jungle