Data Science Manager, Rockerbox

Salary not provided
SQL
Python
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
SQL
Python
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 thrive in a fast-paced environment where you can both manage and build, this role is for you
  • 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, and cloud-based data platforms
  • Deep understanding of statistical modeling, causal inference, and regression techniques
  • Experience in feature development for MTA models and testing methodologies; experience with marketing data and consumer business KPIs
  • Ability to hire, manage, and mentor data scientists while contributing as an IC
  • Strong communication skills to effectively collaborate with engineers, product teams, and stakeholders

What the job involves

  • As the Data Science Manager at Rockerbox, you will lead and 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, and multi-touch attribution (MTA)
  • You will drive the strategic evolution of our data science initiatives, mentor a team of talented data scientists, and ensure that our methodologies remain cutting-edge
  • Lead and mentor our lean data science team, fostering growth and technical excellence
  • Own feature development for testing, MMM, and MTA models, ensuring methodological rigor and scalability
  • Act as a hands-on contributor, developing statistical models and validating approaches for both testing and attribution
  • Work cross-functionally with engineering and product teams to integrate data science solutions into Rockerbox’s platform
  • Drive best practices in model validation, experiment design, and data pipeline efficiency
  • Identify opportunities to leverage AI and machine learning for enhanced insights and automation
  • Collaborate with leadership to define team growth, hiring needs, and strategic priorities
  • You’ll join a supportive, light-hearted team that values collaboration and innovation

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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