Senior Applied Scientist / Senior ML Scientist, Amazon

• Experience working with and influencing senior level stakeholders
• Ph.D. in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or experience in data science, machine learning or data mining
• Experience working effectively with science, data processing, and software engineering teams
• Experience in customer lifecycle marketing or partner marketing management
• Applied Scientist with 7+ years of experience in applied machine learning and customer analytics
• Track record of defining science strategy for new problem spaces

Desirable

• We are seeking a Senior Applied Scientist to lead the science strategy for our Lifecycle Marketing Experimentation roadmap within the PRIMAS (Prime & Marketing analytics and science) team
• The position is open to candidates in Amsterdam and Barcelona
• In this role, you will own the end-to-end science approach that enables EU marketing to shift from broad, generic campaigns to targeted, cohort-based marketing that changes customer behavior
• This is a high-ambiguity, high-impact role where you will define what problems are worth solving, build the science foundation from scratch, and influence senior business leaders on marketing strategy
• You will work directly with Business Directors and channel leaders to solve critical business problems: how do we win back customers lost to competitors, convert Young Adults to Prime, and optimize marketing spend by de-averaging across customer cohorts
• Own the end-to-end science strategy for lifecycle marketing, defining the roadmap across audience targeting, behavioral modeling, and measurement
• Navigate high ambiguity in defining customer journey frameworks and behavioral models – our most challenging science problem with no established playbook
• Lead strategic discussions with business leaders translating business needs into science solutions and building trust across business and tech partners
• Mentor and guide a team of 2-3 scientists and BIEs on technical execution while contributing hands-on to the hardest problems
• Build sophisticated propensity models identifying customer cohorts based on lifecycle stage and complex behavioral patterns (e.g., Bargain hunters, Young adults Prime prospects)
• Define customer journey frameworks using advanced techniques (Hidden Markov Models, sequential decision-making) to model how customers transition across lifecycle stages
• Identify which customer behaviors and triggers drive lifecycle progression and what messaging/levers are most effective for each cohort
• Integrate 1P behavioral data with 2P survey insights to create rich, actionable audience definitions
• Partner with measurement scientist to design experiments (RCTs) that isolate audience targeting effects from creative effects
• Ensure audience definitions, journey models, and measurement frameworks work coherently across Meta, LiveRamp, and owned channels
• Establish feedback loops connecting measurement insights back to model improvements
• The PRIMAS (Prime & Marketing Analytics and Science) is the team that support the science & analytics needs of the EU Prime and Marketing organization, an org that supports the Prime and Marketing programs in European marketplaces and comprises 250-300 employees
• The PRIMAS team, is part of a larger tech tech team of 100+ people called WIMSI (WW Integrated Marketing Systems and Intelligence)
• WIMSI core mission is to accelerate marketing technology capabilities that enable de-averaged customer experiences across the marketing funnel: awareness, consideration, and conversion