πGermany, Ireland
Senior Manager, Data Science

DoubleVerify
π΅ $128k-$230k
πRemote - United States
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Summary
Join Rockerbox as a Senior Manager, Data Science and lead and scale the data science team while contributing as a hands-on practitioner. This player-coach role balances leadership with direct execution in feature development for testing, MMM, and MTA. You will drive the strategic evolution of data science initiatives, mentor a team, and ensure cutting-edge methodologies. The role requires strong proficiency in Python, SQL, and cloud-based data platforms, along with a deep understanding of statistical modeling and causal inference. Experience in marketing data and consumer business KPIs is essential. Rockerbox offers a fast-paced, results-driven environment with opportunities for professional growth and development.
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, and cloud-based data platforms
- Deep understanding of statistical modeling, causal inference, and regression techniques
- Hands on experience working with Bayesian modeling
- 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
Responsibilities
- 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 Rockerboxβs 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
Benefits
- Bonus/commission (as applicable)
- Equity
- Benefits
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