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Data Scientist (GenAI)
Job Description
Location: Remote
Job Type: Contract (6 months)
Compensation: $75.00-105.00 per hour (W2)
Industry: Retail
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About the Role
Our firm is partnering with a large, digitally mature enterprise operating at national scale within the retail and consumer services industry. This organization is investing heavily in Generative AI and advanced machine learning to unlock insights from complex data and documents, improve decision-making, and accelerate innovation across the business.
We are seeking an experienced Data Scientist (GenAI) to support the design, development, and evaluation of large language model (LLM)–based solutions. This role focuses on applying Generative AI technologies in real-world business contexts, working closely with cross-functional teams in a fast-paced, enterprise environment.
Job Description
In this role, you will:
- Design, develop, and evaluate Generative AI and LLM-based solutions to solve complex business problems
- Develop and optimize prompt strategies and evaluation techniques for LLM performance and reliability
- Apply machine learning methods, including supervised and unsupervised techniques, in production scenarios
- Build and maintain Python-based workflows using common ML and Generative AI libraries
- Process, parse, analyze, and index complex and unstructured documents
- Apply traditional image processing techniques where applicable
- Contribute to initiatives involving retrieval-augmented generation (RAG), including multi-modal data (images, text, documents)
- Collaborate closely with data scientists, engineers, product partners, and business stakeholders
- Follow standard software development lifecycle (SDLC) practices, including source control, CI/CD, and Agile methodologies
Qualifications
Required Qualifications:
- 7+ years of relevant industry experience as a Data Scientist, Machine Learning Engineer, Developer, or Researcher
- Hands-on experience with Generative AI, large language models (LLMs), prompt engineering, and LLM evaluation techniques
- Strong proficiency in Python
- Familiarity with common machine learning and Generative AI frameworks and libraries
- Expertise in traditional image processing techniques
- Experience working with complex, unstructured, or semi-structured documents
- Solid foundation in the mathematical and statistical principles underlying machine learning
- Demonstrated experience applying ML and AI solutions in a business or enterprise setting
- Strong collaboration skills and the ability to work effectively across multiple teams
- Experience with standard industry software development practices, including:
- Agile or similar development methodologies
- Source control (e.g., Git)
- CI/CD pipelines and SDLC fundamentals
- Experience with multi-modal Retrieval-Augmented Generation (RAG) solutions
- Prior work supporting large-scale, enterprise-level data or AI initiatives
Benefits
Dahl Consulting is proud to offer a comprehensive benefits package to eligible employees that will allow you to choose the best coverage to meet your family’s needs. For details, please review the DAHL Benefits Summary: https://www.dahlconsulting.com/benefits-w2fta/.
How to Apply
Take the first step on your new career path! To submit yourself for consideration for this role, simply click the apply button and complete our mobile-friendly online application. Once we’ve reviewed your application details, a recruiter will reach out to you with next steps!
Equal Opportunity Statement
As an equal opportunity employer, Dahl Consulting welcomes candidates of all backgrounds and experiences to apply. If this position sounds like the right opportunity for you, we encourage you to take the next step and connect with us. We look forward to meeting you!
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Dahl Consulting is proud to offer a comprehensive benefits package to eligible contract employees that will allow you to choose the best coverage to meet your family’s needs. For details, please review our Benefits Summary: www.dahlconsulting.com/benefits-w2fta.
Dahl Consulting is an Equal Opportunity Employer and does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other applicable legally protected characteristics.
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