Rockerbox empowers marketing executives to confidently make data-driven decisions, helping brands such as Tula, Figs, & Burton with the strategic decision-making that drives growth. To do so, Rockerbox offers a unique suite of product lines that centralize data & 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 & questions.

About the Role:

As Senior Manager, Data Science at Rockerbox, you will lead & scale our data science team while also contributing as a hands-on practitioner. This role is a player-coach position, balancing leadership responsibilities with direct execution in feature development for testing, MMM, & multi-touch attribution (MTA). You will drive the strategic evolution of our data science initiatives, mentor a team of talented data scientists, & ensure that our methodologies remain cutting-edge. If you thrive in a fast-paced environment where you can both manage & build, this role is for you.

Responsibilities:

• Lead & mentor our lean data science team, fostering growth & technical excellence
• Own feature development for testing, MMM, & MTA models, ensuring methodological rigor & scalability
• Act as a hands-on contributor, developing statistical models & validating approaches for both testing & attribution
• Work cross-functionally with engineering & product teams to integrate data science solutions into Rockerboxs platform
• Drive best practices in model validation, experiment design, & data pipeline efficiency
• Identify opportunities to leverage AI & machine learning for enhanced insights & automation
• Collaborate with leadership to define team growth, hiring needs, & strategic priorities

Requirements:

• 7+ years of experience in data science, analytics, or machine learning, with at least 1-2 years in a leadership role.
• Strong proficiency in Python, SQL, & cloud-based data platforms.
• Deep understanding of statistical modeling, causal inference, & regression techniques.
• Hands on experience working with Bayesian modeling.
• Experience in feature development for MTA models & testing methodologies; experience with marketing data & consumer business KPIs.
• Ability to hire, manage, & mentor data scientists while contributing as an IC.
• Strong communication skills to effectively collaborate with engineers, product teams, & stakeholders.

Why Youll Love Rockerbox:

At Rockerbox, youll find a fast-paced, results-driven environment where your work has a direct impact on our growth & the success of our clients. Our iterative development process means youll see your contributions come to life quickly. Youll join a supportive, light-hearted team that values collaboration & innovation. We are committed to professional growth & will actively support your development in both technical & business domains.

The successful candidates starting salary will be determined based on a number of non-discriminating factors, including qualifications for the role, level, skills, experience, location, & balancing internal equity relative to peers at DV.
The estimated salary range for this role based on the qualifications set forth in the job description is between [$128,000 - $230,000]. This role will also be eligible for bonus/commission (as applicable), equity, & benefits.
The range above is for the expectations as laid out in the job description; however, we are often open to a wide variety of profiles, & recognise that the person we hire may be more or less experienced than this job description as posted.

Not-so-fun fact: Research shows that while men apply to jobs when they meet an average of 60% of job criteria, women & other marginalized groups tend to only apply when they check every box. So if you think you have what it takes but youre not sure that you check every box, apply anyway!