Data Scientist

Job Description

• Designs, develops, and implements methods, processes, and systems to consolidate and analyze diverse data sets including structured and unstructured.
• Develop software programs, algorithms, dashboards, information tools, and queries to clean, model, integrate and evaluate datasets. Keeps abreast of new analytic methodologies and technologies.
• Collaborate with functional business units to drive business solutions and direction.

• Design, implement, and maintain enterprise‑scale search solutions using Apache Solr
• Develop and optimize semantic search capabilities using vector embeddings and neural search models
• Build custom indexers and indexing pipelines that support vector embeddings alongside traditional text fields
• Implement and tune Approximate Nearest Neighbor (ANN) algorithms for efficient similarity search at scale
• Design and optimize similarity functions (cosine, dot product, Euclidean) for various search use cases
• Build hybrid search systems that combine traditional keyword‑based search with vector‑based semantic search
• Perform traditional relevancy engineering including query analysis, field weighting, boosting strategies, and result tuning
• Conduct relevancy analysis using quantitative metrics and qualitative evaluation methods
• Monitor search performance metrics and implement continuous improvements
• Work cross‑functionally with product, engineering, and data teams to define search requirements

• 5+ years of hands‑on experience with Apache Solr or Lucene in production environments
• Strong expertise in traditional relevancy engineering including query parsing, field boosting, function queries, and relevance tuning
• Proven experience conducting relevancy analysis using both automated metrics and manual evaluation techniques
• Strong expertise in vector embeddings and their application to semantic search
• Proven experience building hybrid search systems that combine keyword and vector‑based approaches
• Knowledge of search relevance metrics (NDCG, MRR, precision/recall)
• Excellent problem‑solving and analytical skills
• Strong communication skills and ability to work in collaborative environments
• Active security clearance (Secret or higher) is required

• Databases and Data Engineering for Big Data
• Elasticsearch
• Statistical Methods
• Programming languages: C/C++, Java, Python, Bash, JavaScript/HTML/CSS, Matlab
• Software tools:
  Apache Solr and creating data pipelines for search products
• Skills in R and machine learning algorithms and data analysis

• This position has the ability to work hybrid, remote or onsite

• 6 Months