Senior Data Scientist/ AI Engineer

Aperçu

Join a pioneering global organization at the forefront of innovation, dedicated to shaping the future of consumer experiences. This company is renowned for its commitment to excellence and its impact on a global scale, constantly pushing boundaries to deliver unparalleled value.

Are you a visionary Data Scientist and AI Engineer eager to revolutionize how millions of users discover products online? We are seeking an exceptional individual to spearhead the development of a cutting-edge, AI-driven search solution that will redefine the digital shopping journey. In this pivotal role, you won’t just be building features; you’ll be architecting the core intelligence that powers personalized, semantic understanding, directly impacting user engagement and business success.

This is an unparalleled opportunity to leverage your deep expertise in AI and data science to build a next-generation, in-house search and ranking capability. You will be instrumental in replacing a keyword-driven system with an intelligent solution that understands intent, personalizes results, and scales globally. Working within an agile Scrum framework, you will autonomously drive technical solutions and contribute significantly to a project that is critical to the company’s digital transformation.

**Primary Responsibilities:**
* Lead the technical consultation, configuration, and optimization of search relevance components, including analyzers, scoring parameters, hybrid retrieval structures, and vector-search integrations.
* Design and refine retrieval and ranking models, implementing multi-stage ranking approaches, learning-to-rank concepts, and integrating relevance, behavioral, and business signals into ranking pipelines.
* Develop multilingual Natural Language Processing (NLP) components for diverse locales (LAM, EU, NAM), covering tokenization, stemming, normalization, and configuring linguistic processing within search platforms and related pipelines.
* Engineer query understanding mechanisms, including synonym and concept extraction from catalog and interaction data, query-intent interpretation, and term/concept expansion techniques.
* Develop and integrate Large Language Model (LLM)-enhanced search components, focusing on prompt construction and incorporating LLM-derived semantic signals into retrieval and ranking logic.
* Create sophisticated personalization logic for search and product listing page (PLP) ranking, designing re-ranking frameworks that balance user affinity, semantic relevance, and commercial parameters.
* Develop and validate robust autocomplete, spelling-correction, and search-suggestion components, ensuring multilingual handling and adherence to domain-specific terminology.
* Define and refine commercial relevance models, including recency-weighted popularity signals, interaction-derived relevance indicators, and other business-driven ranking adjustments.
* Construct comprehensive evaluation and diagnostic frameworks for relevance quality, utilizing offline Information Retrieval (IR) metrics and analytical methods for assessment.
* Model and integrate real-time or near-real-time data signals, such as size availability or stock levels, into filtering, faceting, and ranking components.
* Provide technical implementation of data-science-driven backend logic for the user interface, including scoring routines, rule-evaluation structures, configurable business logic, and interfaces for merchandise-related adjustments to search and ranking behavior.
* Actively participate in agile meetings (2-3 times per week) to clarify technical matters and maintain transparency.
* Conduct independent assessments and propose feasible services for each sprint, contributing your professional judgment and domain expertise.

**Required Skills & Experience:**
* Proven expertise in search relevance engineering, including OpenSearch (or similar) configuration and optimization (analyzers, scoring, hybrid retrieval, vector-search).
* Strong background in developing and refining retrieval and ranking models, including multi-stage ranking, learning-to-rank, and signal integration.
* Extensive experience with multilingual NLP components (tokenization, stemming, normalization, linguistic processing).
* Proficiency in designing and implementing query understanding mechanisms (synonym/concept extraction, intent interpretation, term/concept expansion).
* Demonstrated experience with LLM-enhanced search components, prompt engineering, and integrating LLM-derived semantic signals.
* Ability to create personalization logic for search and ranking, balancing user affinity, semantic relevance, and commercial parameters.
* Expertise in developing and validating autocomplete, spelling-correction, and search-suggestion components for multilingual and domain-specific contexts.
* Experience in defining and refining commercial relevance models (popularity signals, interaction-derived indicators, business-driven adjustments).
* Capability to construct evaluation and diagnostic frameworks for relevance quality using IR metrics.
* Skilled in modeling and integrating real-time data signals (e.g., stock levels) into search components.
* Technical implementation experience with data-science-driven backend logic for user interfaces, including scoring, rule evaluation, and configurable business logic.
* Experience working within an agile development framework (SCRUM).
* Strong professional judgment and domain expertise to independently assess and propose solutions.

**About Aquent Talent**

Aquent Talent connects the best talent in marketing, creative, and design with the world’s biggest brands.
Our eligible talent get access to amazing benefits like subsidized health, vision, and dental plans, paid sick leave, and retirement plans with a match. We also offer free online training through Aquent Gymnasium. More information on our awesome benefits!
Aquent is an equal-opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. We’re about creating an inclusive environment-one where different backgrounds, experiences, and perspectives are valued, and everyone can contribute, grow their careers, and thrive.