About the Company

The PRIMAS (Prime & Marketing Analytics and Science) team is dedicated to supporting the scientific and analytical needs of Amazon’s EU Prime and Marketing organization, which encompasses Prime and Marketing programs across European marketplaces and comprises approximately 250-300 employees. PRIMAS is a component of the broader WIMSI (WW Integrated Marketing Systems and Intelligence) tech team, boasting over 100 members. WIMSI’s primary objective is to enhance marketing technology capabilities, thereby enabling personalized customer experiences throughout the entire marketing funnel, from awareness and consideration to conversion.

Job Description

This role seeks a Senior Applied Scientist to spearhead the science strategy for lifecycle marketing experimentation within the PRIMAS team. The position is situated in Amsterdam or Barcelona. The successful candidate will be responsible for the comprehensive science approach, aiming to transition EU marketing from broad, generalized campaigns to highly targeted, cohort-based strategies that actively influence customer behavior. This is a highly ambiguous and high-impact position where the individual will define critical business problems, establish the foundational science from the ground up, and provide strategic guidance to senior business leaders on marketing initiatives. Key responsibilities include addressing challenges such as customer win-back from competitors, converting young adults to Prime, and optimizing marketing expenditure through granular analysis of customer cohorts.

Responsibilities

• Own the end-to-end science strategy for lifecycle marketing, encompassing the roadmap for audience targeting, behavioral modeling, and measurement.
• Navigate significant ambiguity in defining customer journey frameworks and behavioral models, tackling challenging scientific problems without pre-existing solutions.
• Lead strategic dialogues with business leaders, translating business requirements into actionable science solutions and fostering trust among business and technology partners.
• Provide mentorship and guidance to a team of 2-3 scientists and Business Intelligence Engineers (BIEs) on technical execution, while also contributing hands-on to the most complex scientific challenges.
• Develop sophisticated propensity models to identify customer cohorts based on lifecycle stages and intricate behavioral patterns, such as ‘Bargain hunters’ and ‘Young adults Prime prospects’.
• Define customer journey frameworks utilizing advanced methodologies like Hidden Markov Models and sequential decision-making to model customer transitions across various lifecycle stages.
• Identify key customer behaviors and triggers that influence lifecycle progression and determine the most effective messaging and levers for each distinct cohort.
• Integrate first-party behavioral data with second-party survey insights to construct rich, actionable audience definitions.
• Collaborate with measurement scientists to design experiments, including Randomized Controlled Trials (RCTs), to effectively isolate the impact of audience targeting from creative elements.
• Ensure that audience definitions, journey models, and measurement frameworks operate cohesively across various platforms, including Meta, LiveRamp, and owned channels.
• Establish feedback mechanisms to integrate measurement insights back into model improvements, fostering continuous optimization.

Qualifications

• Experience in working with and influencing senior-level stakeholders.
• A Ph.D. in a quantitative discipline such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or equivalent experience in data science, machine learning, or data mining.
• Proven ability to work effectively with science, data processing, and software engineering teams.
• Experience in customer lifecycle marketing or partner marketing management.
• A minimum of 7 years of experience as an Applied Scientist specializing in applied machine learning and customer analytics.
• A demonstrated track record of defining science strategy for novel problem spaces.

Skills

ATS Keywords

Frequently Asked Questions

Other Information

Amazon is an equal opportunity employer committed to a diverse workforce. Decisions are based on experience and skills, valuing passion for discovery, invention, simplification, and building. Amazon prioritizes the privacy and security of candidate data, with a Privacy Notice available for more details. The company fosters an inclusive culture and provides workplace accommodations for individuals with disabilities during the application and hiring process.

Notification Link

Tags