Everforth ECS is seeking a Sr. Data Scientist to join our team remotely. This position is contingent upon contract award.
Are you passionate about building intelligent search and retrieval systems and applying GenAI to solve real-world data challenges? Join ECS, a leading provider of cloud, AI, data, and enterprise transformation solutions. In this role, you will design and optimize next-generation search and retrieval experiences using Elasticsearch, Vector Search, and Retrieval-Augmented Generation (RAG) techniques to improve relevance, accuracy, and decision-making outcomes.
We are seeking a Sr. Data Scientist focused on Search, RAG, and GenAI to support ECS’s Professional Services. The ideal candidate enjoys working at the intersection of data science, search relevance, and large language models (LLMs), collaborating with customers and internal teams to deliver intelligent, high-impact solutions. You will play a key role in shaping search architectures, advising on best practices, and applying advanced AI techniques to enterprise-scale data sets.
This role offers the opportunity to work with cutting-edge GenAI technologies while directly influencing customer success across diverse environments and use cases.
Key Responsibilities
- Design, implement, and optimize intelligent search solutions using Elasticsearch, including lexical, semantic, and vector-based search techniques.
- Apply Retrieval-Augmented Generation (RAG) patterns to enhance LLM-driven applications with accurate, relevant, and contextual enterprise data.
- Consult with customers to understand business objectives, data landscapes, and search challenges, translating requirements into effective AI-powered search strategies.
- Build and refine embedding strategies, indexing approaches, and query workflows to improve relevance, precision, and recall.
- Evaluate and integrate LLMs and GenAI capabilities into enterprise search and analytics use cases.
- Collaborate with data, AI, and platform teams to align GenAI solutions with existing systems and operational workflows.
- Provide strategic recommendations to improve search performance, result explainability, and overall user experience.
- Lead knowledge-sharing sessions, technical workshops, and enablement activities related to GenAI, RAG, and advanced search techniques.
- Serve as a trusted advisor for customers and internal stakeholders on emerging trends in AI-powered search and retrieval.
- Stay current with advancements in Elasticsearch, GenAI, LLM tooling, and search relevance methodologies.
Salary Range: $175,000 - $200,000
Preferred Qualifications- Hands-on experience applying Elasticsearch to search, analytics, or data science use cases.
- Strong understanding of search concepts including relevance tuning, indexing strategies, and query optimization.
- Experience working with data science or AI-driven solutions in enterprise environments.
- Familiarity with large-scale data platforms and cloud environments (AWS, Azure, or GCP).
- Ability to translate complex technical concepts into clear guidance for customers and stakeholders.
- Strong analytical, problem-solving, and communication skills.
- Willingness and ability to travel to customer sites as needed.
- Must be a U.S. Citizen and have an active Secret U.S. Security Clearance.
- Bachelor’s degree in Computer Science, Data Science, or a related field (or equivalent experience).
Skills Required
- Hands-on experience applying Elasticsearch to search, analytics, or data science use cases.
- Strong understanding of search concepts including relevance tuning, indexing strategies, and query optimization.
- Experience working with data science or AI-driven solutions in enterprise environments.
- Familiarity with large-scale data platforms and cloud environments (AWS, Azure, or GCP).
- Ability to translate complex technical concepts into clear guidance for customers and stakeholders.
- Strong analytical, problem-solving, and communication skills.
- Willingness and ability to travel to customer sites as needed.
- Must be a U.S. Citizen and have an active Secret U.S. Security Clearance.
- Bachelor's degree in Computer Science, Data Science, or a related field (or equivalent experience).
ECS Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about ECS and has not been reviewed or approved by ECS.
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Healthcare Strength — ECS advertises multiple national-network medical plan options with HSA eligibility alongside dental and vision coverage. Coverage generally begins quickly and is paired with company-paid short- and long-term disability, adding stability to the health package.
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Retirement Support — A 401(k) with Safe Harbor and immediate vesting on employer contributions is emphasized, with an employer match available. Access to an employee stock purchase plan via the parent company provides an additional savings avenue.
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Parental & Family Support — Paid parental leave up to 30 days, adoption assistance, and other family-oriented leaves are highlighted. Feedback suggests these offerings add meaningful value beyond base pay for many roles.
ECS Insights
What We Do
ECS, a segment of ASGN (NYSE: ASGN), delivers advanced solutions and services in cloud, cybersecurity, artificial intelligence (AI), machine learning (ML), application and IT modernization, and science and engineering. The company solves critical, complex challenges for customers across the U.S. public sector, defense, intelligence and commercial industries. ECS maintains partnerships with leading cloud, cybersecurity, and AI/ML providers and holds specialized certifications in their technologies. Headquartered in Fairfax, Virginia, ECS has more than 3,400 employees throughout the U.S. and has been recognized as a Top Workplace by The Washington Post for the last five years.
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