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Data Scientist - Testing

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Data Scientist - Testing

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.

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

Rockerbox is a remote-first, equal opportunity employer. We actively encourage applicants from underrepresented backgrounds, and we are accepting candidates based anywhere in the United States.

Please note that we are not able to accommodate C2C candidates for this role. Rockerbox participates in E-Verify. As an employer utilizing E-Verify, we confirm the eligibility of all newly hired employees through an electronic database maintained by the U.S. Department of Homeland Security and the Social Security Administration.

Rockerbox Glassdoor Company Review

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Rockerbox DE&I Review

4.3

CEO of Rockerbox

Ron Jacobson

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What You Should Know About Data Scientist - Testing, Rockerbox

Are you a Data Scientist passionate about testing methodologies? Join Rockerbox, where you'll make a real impact on how marketing executives make data-driven decisions. Working with brands like Tula, Figs, and Burton, your role will involve developing robust testing frameworks that empower marketers to understand their campaign effectiveness. At Rockerbox, you won't just analyze data; you'll own the entire process from planning through to analysis, ensuring that our clients get the most precise insights possible. Your proficiency in Python will be key, especially as you adapt and optimize existing testing packages from R. You'll collaborate closely with engineering teams to seamlessly integrate these methodologies into the Rockerbox platform, conducting exploratory data analysis to refine test parameters. Here, innovation and continuous professional development are encouraged, so you'll stay up to date with the latest in causal inference and experimental design techniques. In exchange for your expertise, Rockerbox offers a remote-first work environment with supportive colleagues, unlimited PTO, and extensive benefits. If you’re excited about designing experiments and optimizing statistical models in a dynamic setting, this Data Scientist - Testing position is your chance to thrive!

Frequently Asked Questions (FAQs) for Data Scientist - Testing Role at Rockerbox

What are the responsibilities of a Data Scientist - Testing at Rockerbox?

As a Data Scientist - Testing at Rockerbox, your key responsibilities include owning the development of testing methodologies that ensure statistical robustness, adapting and optimizing existing R-based packages into Python, and designing frameworks for measuring campaign effectiveness. You will conduct exploratory data analysis to refine test parameters and leverage your knowledge of causal inference to keep our strategies cutting-edge.