- Company Name
- Quality Choice Solutions
- Job Title
- Data Scientist (W2 Only)
- Job Description
-
**Job Title:**
Data Scientist (W2 Only)
**Role Summary:**
Lead the design, development, and deployment of GenAI and ML models that enhance advisor experience, perform lead scoring, and drive sales revenue. Provide technical direction, mentor a small AI/ML team, and collaborate with stakeholders to translate business challenges into data‑driven solutions.
**Expectations:**
- Own high‑impact data science initiatives within a 12‑month contract, with potential extension.
- Deliver scalable, production‑ready models that integrate with existing advisor products.
- Influence business stakeholders, promote AI adoption, and demonstrate measurable ROI.
- Maintain rigorous CI/CD, testing, and monitoring practices for model deployment.
**Key Responsibilities:**
- Design and implement ML/LLM solutions for sales and advisor workflows.
- Select appropriate data, algorithms, training regimes, and evaluation metrics.
- Mentor and manage a small team of AI/ML engineers, ensuring best practices in model development.
- Communicate model design, results, and improvement ideas to technical and non‑technical audiences.
- Coordinate external vendors for data science tasks when needed.
- Apply CI/CD/CT pipelines (e.g., Jenkins, Harness) and cloud platforms (AWS SageMaker, Azure Agentic AI) for model lifecycle management.
- Deploy and maintain LLMs, RAG, LangChain/Graph, and agentic AI components.
- Identify new opportunities for AI to enhance customer experience and operational efficiency.
**Required Skills:**
- Programming: Python, SQL; cloud: AWS, SageMaker; tooling: JIRA, CI/CD pipelines (Jenkins, CloudBees, Harness).
- ML/AI: deep knowledge of ML theory, supervised/unsupervised algorithms, XGBoost, tree‑based models, and Large Language Models (OpenAI, Claude).
- Model Ops: CI/CD, A/B testing, monitoring, automated testing (TDD).
- LLM Technologies: deployment, retrieval‑augmented generation, LangChain, LangGraph, agentic AI concepts.
- Agile & Product Management: Scrum/Kanban, stakeholder management, business analysis.
- Soft Skills: problem solving, communication, collaboration, leadership, continuous learning mindset.
**Required Education & Certifications:**
- Bachelor’s degree in Applied Statistics, Computer Science, Engineering, or a related technical field (or equivalent professional experience).
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