Job Description

Position Title: Data Scientist (Remote)

Location: Lexington, MA, USA, 02421

Duration: 05 months Contract on W2 (possible extension)

*********************NO C2C******************

Note* Candidates must should have an Active Clearance (secret/top secret, etc.)

Only US Citizen

Position Description:

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

Key Responsibilities include but not limited to:

• 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

Required Qualifications:

• 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

Nice to Have:

• Databases and Data Engineering for Big Data
• Elasticsearch
• Statistical Methods

Clearance:

Candidates should have an active clearance (secret/top secret, etc.) in order to be considered for this position due to the nature of the work being done.

Interview Process:

• 1st round interview will be a Zoom with the hiring manager. 2nd round interview will be a Zoom with additional team members as needed.

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