Partner with Marketing to Define and Solve Problems – Work closely with marketing stakeholders to understand business challenges, define success metrics, and translate needs into analytical approaches that drive performance across campaigns and channels.
Design and Deliver Data-Driven Solutions – Apply statistical analysis and machine learning to develop solutions that address business needs, then present findings, influence decisions, and gain alignment on adoption.
Lead Experimentation and Optimization – Develop and manage testing frameworks (A/B testing, campaign experimentation) across channels and markets. Analyze results and provide clear recommendations to improve performance and inform future strategy.
Translate Results into Business Impact – Clearly communicate insights and quantify outcomes (e.g., campaign performance lift, engagement improvements, ROI) to ensure stakeholders understand the value and take action.
Partner to Operationalize Solutions – Collaborate with Technology and Engineering teams to transition validated models into production, supporting implementation through scalable pipelines and processes.
Influence Through Storytelling – Present insights and recommendations to both technical and non-technical audiences, including senior stakeholders, to drive alignment and decision-making.

Bachelor’s degree in Data Science, Computer Science, Statistics, or a related quantitative field, or an equivalent combination of education and professional experience.
Minimum 5 years of experience in data science or analytics, with a strong focus on business-facing problem solving and proven experience partnering with business teams (preferably Marketing) to translate needs into analytical solutions.
Experience building and applying statistical, machine learning models in real-world business contexts, and designing and analyzing experiments (A/B testing, campaign optimization, or similar frameworks).
Strong communication skills with the ability to present insights and influence decisions across non-technical stakeholders.
Proficiency in Python, R, and SQL.

Senior Data Scientist – Marketing Analytics

Key skills