Senior Data Scientist

Ascendion; United States; Remote; USD 125,000 - 140,000; Full time

Job summary

Join Ascendion as a Senior Data Scientist in E-Commerce Search, where you will optimize search ranking models and enhance retrieval algorithms. You will collaborate across teams to implement cutting-edge solutions in a dynamic environment that fosters learning and innovation.

Benefits

Medical Insurance

Dental Insurance

Vision Insurance

401(k) Retirement Plan

Paid Parental Leave

Paid Time Off

Tuition Reimbursement Program

Qualifications

• Good hands-on experience as a Data Scientist or ML Engineer in e-commerce.
• Proven expertise in Learning to Rank and vector retrieval systems.
• Strong programming skills in Python and use of ML libraries.

Responsibilities

• Design and optimize search ranking models with LTR approaches.
• Collaborate with teams to deliver data-driven solutions.
• Analyze search logs to improve model accuracy.

Skills

Python

Learning to Rank

NLP

Machine Learning

Data Analysis

Job description

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This range is provided by Ascendion. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$125,000.00/yr - $140,000.00/yr

Direct message the job poster from Ascendion

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

Experience a community of change makers!

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: Senior Data Scientist (E-Commerce Search)

Location: Remote

Key Responsibilities:

• Design, implement, and optimize search ranking models using Learning to Rank (LTR) approaches.
• Develop and fine-tune vector search and retrieval algorithms to improve search accuracy and relevance.
• Analyze large-scale search logs and user behavior data to identify improvement opportunities.
• Collaborate with product managers, engineers, and UX teams to align on goals and deliver data-driven solutions.
• Experiment with and deploy machine learning models in production search pipelines.
• Stay current with state-of-the-art search and information retrieval techniques.

Minimum Qualifications:

• Good hands-on experience as a Data Scientist or Machine Learning Engineer in an e-commerce or search-centric domain.
• Proven expertise in Learning to Rank, vector similarity models, and retrieval systems (e.g., BM25, ANN, Faiss, Elasticsearch, Pinecone).
• Strong programming skills in Python (and libraries like Scikit-learn, TensorFlow, or PyTorch).
• Experience working with large datasets and distributed computing (e.g., Spark, Hadoop).
• Solid understanding of NLP and information retrieval concepts.
• Excellent problem-solving and communication skills.
• Exposure to MLOps practices for deploying and monitoring ML models in production.

Salary Range: The salary for this position is between $125,000 – $140,000 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]

Want to change the world? Let us know.

Tell us about your experiences, education, and ambitions. Bring your knowledge, unique viewpoint, and creativity to the table. Let’s talk!

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  IT Services and IT Consulting

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