Data Scientist (Senior Engineer II - Application Team)

About the position

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. The Application Team is responsible for delivering out of the box analyses within the Rockerbox platform in partnership with our data engineering teams. The team covers two main components: configuration and insights. This role is designed to play a pivotal role in delivering the platform’s insights capabilities, by owning projects that result in customer-facing dashboards and analytics interfaces. Our ideal candidate has a hybrid background combining data science and statistical modeling concepts with practical experience in data engineering and foundational coding experience.

Responsibilities

• Collaborate closely with product managers and the App team to define and achieve product feature goals, ensuring optimal data delivery to user interfaces.
• Design and implement robust solutions to support application functionality, integrating data science insights into product development.
• Take ownership of testing frameworks, emphasizing the reliability and accuracy of data as it moves from backend systems to end-users.
• Contribute to the team’s understanding of technical and business aspects by bridging data science applications with core application development.

Requirements

• 7+ years of combined experience in software engineering and data science.
• Hands-on experience with SQL, Python, APIs, and data science concepts.
• Fullstack experience delivering analysis or dashboarding products.
• Practical knowledge of algorithms, models, and data structures relevant to marketing analytics.
• Experience with front-end technologies, specifically React.
• Expertise in testing / experimentation methodologies.
• Ability to communicate complex concepts clearly to non-technical stakeholders.

Benefits

• $175,000 base salary; Equity options
• 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