Job Requirements
Lexington, MA
Secret Polygraph not specified
Mid Level Career (5+ yrs experience)
Salary not specified
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Job Description
Position: Data Scientist
Location: Lexington, MA (Hybrid)
Length: 5 Month Contract
Job 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.
Essential Duties and Responsibilities:
• 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
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
POST-OFFER BACKGROUND CHECK IS REQUIRED. Digital Prospectors is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by law. Digital Prospectors affirms the right of all individuals to equal opportunity and prohibits any form of discrimination or harassment.
Come see why DPC has achieved:
• 4.9/5 Star Glassdoor rating and the only staffing company (< 1000 employees) to be voted in the national Top 10 ‘Employee’s Choice - Best Places to Work’ by Glassdoor.
• Voted ‘Best Staffing Firm to Temp/Contract For’ 8 consecutive years in a row by Staffing Industry Analysts as well as a ‘Best Company to Work For’ by Forbes, Fortune and Inc. magazine.
As you are applying, please join us in fostering diversity, equity, and inclusion by completing the Invitation to Self-Identify form today!
www.LoveYourJob.com
Location: Lexington, MA (Hybrid)
Length: 5 Month Contract
Job 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.
Essential Duties and Responsibilities:
• 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
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
POST-OFFER BACKGROUND CHECK IS REQUIRED. Digital Prospectors is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by law. Digital Prospectors affirms the right of all individuals to equal opportunity and prohibits any form of discrimination or harassment.
Come see why DPC has achieved:
• 4.9/5 Star Glassdoor rating and the only staffing company (< 1000 employees) to be voted in the national Top 10 ‘Employee’s Choice - Best Places to Work’ by Glassdoor.
• Voted ‘Best Staffing Firm to Temp/Contract For’ 8 consecutive years in a row by Staffing Industry Analysts as well as a ‘Best Company to Work For’ by Forbes, Fortune and Inc. magazine.
As you are applying, please join us in fostering diversity, equity, and inclusion by completing the Invitation to Self-Identify form today!
www.LoveYourJob.com
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