Über
Location: Dallas, TX (Onsite, relocation available)
Comp: $180-220k base + equity + bonus
A global semiconductor company is building out its internal marketing and growth analytics function and is seeking a Staff Data Scientist to lead the transformation of its B2B advertising and attribution strategy. This role is highly strategic, focused on evolving measurement capabilities from last-click attribution to a full-funnel, multi-touch approach that better captures the complexity of long sales cycles and account-based engagement. You will play a critical role in integrating audience signals, campaign performance data, and attribution models to drive more efficient customer acquisition and pipeline growth.
What You'll Do p]:pt-0 [&>p]:mb-2 [&>p]:my-0"> Lead the design and implementation of full-funnel attribution models, transitioning from last-click to multi-touch measurement frameworks. p]:pt-0 [&>p]:mb-2 [&>p]:my-0"> Develop data-driven strategies to improve CAC, marketing efficiency, and pipeline contribution across B2B channels. p]:pt-0 [&>p]:mb-2 [&>p]:my-0"> Integrate and analyze data across platforms including DSPs, CDPs, Google Analytics (GA4), CRM systems, and the enterprise data warehouse. p]:pt-0 [&>p]:mb-2 [&>p]:my-0"> Build and scale A/B and multivariate testing frameworks to optimize campaign performance and conversion rates. p]:pt-0 [&>p]:mb-2 [&>p]:my-0"> Apply AI/ML techniques to enhance audience segmentation, targeting, and predictive performance modeling. p]:pt-0 [&>p]:mb-2 [&>p]:my-0"> Partner with marketing, sales, and product stakeholders to translate business goals into measurable analytics initiatives. p]:pt-0 [&>p]:mb-2 [&>p]:my-0"> Establish best practices around marketing measurement, experimentation, and attribution in a complex, account-based environment. What You Bring
p]:pt-0 [&>p]:mb-2 [&>p]:my-0"> 8+ years of experience in data science, with a strong emphasis on B2B marketing, advertising, or growth analytics. p]:pt-0 [&>p]:mb-2 [&>p]:my-0"> Proven experience advancing organizations from last-click to multi-touch attribution models. p]:pt-0 [&>p]:mb-2 [&>p]:my-0"> Strong programming skills in Python and SQL, with experience working in modern data warehouse environments (e.g., Snowflake, BigQuery, Redshift). p]:pt-0 [&>p]:mb-2 [&>p]:my-0"> Hands-on experience with Google Analytics, DSPs, CDPs, and ABM platforms such as 6sense or Demandbase. p]:pt-0 [&>p]:mb-2 [&>p]:my-0"> Deep understanding of CAC, funnel metrics, pipeline attribution, and campaign performance analysis. p]:pt-0 [&>p]:mb-2 [&>p]:my-0"> Experience leading experimentation strategies and applying statistical methods to measure impact. p]:pt-0 [&>p]:mb-2 [&>p]:my-0"> Ability to communicate complex analytical insights to cross-functional and executive stakeholders.
Sprachkenntnisse
- English
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