Data Scientist (Marketing Analytics)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Data Scientist (Marketing Analytics): Driving marketing strategy through data-driven insights with an accent on attribution, ROI, and conversion funnel analysis. Focus on designing experiments, building data models, and proactively identifying opportunities to optimize marketing spend and performance.
Location: Must be based in or willing to relocate to Austin, Texas. This is an on-site role with required office attendance on Mondays, Tuesdays, and Thursdays.
Company
is a leader in AI code verification and governance, providing tools that ensure AI-generated software is reliable, secure, and maintainable for global enterprises.
What you will do
- Own marketing attribution, ROI, and conversion analysis to drive strategic decision-making.
- Optimize marketing spend by analyzing performance across channels and campaigns.
- Design and execute A/B tests and experiments using sound statistical methods.
- Partner with Data and Analytics Engineers to define data models and pipelines.
- Proactively surface insights and anomalies to marketing leadership.
- Communicate complex findings to non-technical stakeholders to drive actionable outcomes.
Requirements
- Strong analytical track record of influencing business or marketing decisions.
- Proficiency in SQL for independent data querying and exploration.
- Advanced skills in Python for analysis, modeling, and automation.
- Solid statistical foundation including regression, significance testing, and forecasting.
- Experience with marketing and GTM data, including CRM and product usage integration.
- Must be based in Austin, Texas or willing to relocate.
Culture & Benefits
- Collaborative in-office culture with anchor days on Mondays, Tuesdays, and Thursdays.
- Opportunity to work at the forefront of AI software development.
- Fast-paced, profitable environment with significant impact on global enterprise software.
- Commitment to diversity, equity, and inclusion.
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