Ascendion is a full-service digital engineering solutions company. We make and manage software platforms and products that power growth and deliver captivating experiences to consumers and employees. Our engineering, cloud, data, experience design, and talent solution capabilities accelerate transformation and impact for enterprise clients. Headquartered in New Jersey, our workforce of 6,000+ Ascenders delivers solutions from around the globe. Ascendion is built differently to engineer the next. Ascendion | Engineering to elevate life

We have a culture built on opportunity, inclusion, and a spirit of partnership. Come, change the world with us:

Build the coolest tech for world’s leading brands
Solve complex problems – and learn new skills
Experience the power of transforming digital engineering for Fortune 500 clients
Master your craft with leading training programs and hands-on experience

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Join a culture of high-performing innovators with endless ideas and a passion for tech. Our culture is the fabric of our company, and it is what makes us unique and diverse. The way we share ideas, learning, experiences, successes, and joy allows everyone to be their best at Ascendion.

About the Role:

Job Title : Data Scientist - Ecommerce Specialist

Job Description:

We’re looking for a Data Scientist with hands-on experience in e-commerce search and retrieval systems. The ideal candidate should have strong knowledge of Learning to Rank (LTR) methods, vector search, and modern retrieval algorithms. Experience with tools like FAISS, Elasticsearch (dense retrieval), and working on ranking models using user behavior data (clicks, sessions, etc.) is key. You'll work closely with product and engineering teams to optimize search relevance, personalize results, and improve user engagement through intelligent ranking models.

Roles and Responsibilities

Design, develop, and deploy Learn-to-Rank models (pointwise, pairwise, listwise) to improve search ranking and product discovery.
Implement and optimize retrieval algorithms using vector embeddings, semantic search, and hybrid retrieval techniques.
Evaluate and select appropriate similarity functions, dimensionality reduction techniques, and indexing strategies (e.g., FAISS, Annoy, Milvus).
Analyze and process clickstream data, user sessions, and query logs to derive meaningful features and relevance signals.
Collaborate with backend engineers to integrate ML models into production-grade search systems.
Build A/B testing frameworks and perform robust evaluation of ranking models using metrics like nDCG, MAP, MRR, and CTR.
Continuously monitor search performance and implement improvements to ensure high relevance and personalization.
Contribute to overall search architecture, including query understanding, ranking pipelines, and indexing strategies.

Location: Remote opportunity

Salary Range: The salary for this position is between $135,000 – $150,000 annually. Factors which may affect pay within this range may include geography/market, skills, education, experience and other qualifications of the successful candidate.

This position is eligible for commissions in accordance with the terms of the Company’s plan. Commissions for this position are estimated to be based on individual performance. Additionally, this role is also eligible for bonus based on achievement of mutually agreed KRAs.

Benefits: The Company offers the following benefits for this position, subject to applicable eligibility requirements: [medical insurance] [dental insurance] [vision insurance] [401(k) retirement plan] [long-term disability insurance] [short-term disability insurance] [personal days accrued each calendar year. The Paid time off benefits meet the paid sick and safe time laws that pertains to the City/ State] [12-15 days of paid vacation time] [6-8 weeks of paid parental leave after a year of service] [9 paid holidays and 2 floating holidays per calendar year] [Ascendion Learning Management System] [Tuition Reimbursement Program]

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