Data Scientist
Ascendion
About the role
About 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 the 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
We are looking for a Data Scientist to join our team in Coraopolis, 15108. As a Data Scientist, you will be responsible for designing, developing, and implementing search ranking models using Learn to Rank approaches.
Job Title
Data Scientist
Key Responsibilities
- Design, develop, and implement search ranking models using Learn to Rank approaches.
- Apply vector search techniques to improve relevance and personalization in search results.
- Develop scalable data pipelines to support retrieval algorithms and feature engineering.
- Collaborate with engineering, product, and UX teams to improve search experience.
- Analyze large‑scale behavioral and clickstream data to inform algorithmic decisions.
- Rapidly prototype and iterate on models with measurable business impact.
Minimum Qualifications
- Proven experience in e‑commerce or similar domains focused on search and ranking.
- Strong expertise in Learn to Rank, vector similarity search, and retrieval models.
- Proficiency in Python and libraries such as scikit‑learn, XGBoost, TensorFlow, or PyTorch.
- Experience with search engines (e.g., Elasticsearch, Solr, Vespa) and ANN frameworks (e.g., Faiss, Annoy, Milvus).
- Solid understanding of information retrieval concepts, relevance metrics, and evaluation methods.
- Familiarity with large‑scale data processing (e.g., Spark, Hadoop) is a plus.
Desired Qualifications
- Experience working in fast‑paced environments with quick turnaround timelines.
Location
Coraopolis, 15108
Salary and Other Compensation
The annual [salary/hourly rate] for this position is between $130,000 – $140,000 annually / $70 – $75 per hour. Factors which may affect pay within this range may include geography/market, skills, education, experience and other qualifications of the successful candidate.
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
- Life insurance
- Long‑term disability insurance
- Short‑term disability insurance
- Paid parking/public transportation
- Paid time off
Preferred Skills
Data Science Data Science Data Science
- data science
- Learn to rank
- Elasticsearch
- Elastic Search
Job Details
- Job ID: 331912
- Location: Coraopolis, Pennsylvania, US
- Recruiter: Darpan
- Email: darpan.barot@ascendion.com
Application Call‑to‑Action
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Tell us about your experiences, education, and ambitions. Bring your knowledge, unique viewpoint, and creativity to the table. Let’s talk!
Requirements
- Proven experience in e-commerce or similar domains focused on search and ranking.
- Strong expertise in Learn to Rank, vector similarity search, and retrieval models.
- Proficiency in Python and libraries such as scikit-learn, XGBoost, TensorFlow, or PyTorch.
- Experience with search engines (e.g., Elasticsearch, Solr, Vespa) and ANN frameworks (e.g., Faiss, Annoy, Milvus).
- Solid understanding of information retrieval concepts, relevance metrics, and evaluation methods.
Responsibilities
- Design, develop, and implement search ranking models using Learn to Rank approaches.
- Apply vector search techniques to improve relevance and personalization in search results.
- Develop scalable data pipelines to support retrieval algorithms and feature engineering.
- Collaborate with engineering, product, and UX teams to improve search experience.
- Analyze large-scale behavioral and clickstream data to inform algorithmic decisions.
- Rapidly prototype and iterate on models with measurable business impact.
Benefits
Skills
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