Data Scientist Job at Acro Service Corp, Lexington, MA

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  • Acro Service Corp
  • Lexington, MA

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.

Job Tags

Contract work, Remote work

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