- Company Name
- Chelsoft Solutions Co.
- Job Title
- Principal Data Scientist_only on W2
- Job Description
-
**Job title:** Principal Data Scientist (W2)
**Role Summary:**
Lead end‑to‑end machine learning system development and deployment for healthcare applications, focusing on natural language processing, AI ethics, and regulatory compliance. Serve as a technical owner for model performance, fairness, and secure deployment, while translating business needs into robust AI solutions.
**Expectations:**
- Own the full ML lifecycle from data ingestion through production maintenance.
- Champion ethical AI practices and regulatory adherence within all AI initiatives.
- Mentor and guide cross‑functional teams (product, data science, engineering, and business stakeholders).
- Act as liaison between technical teams and clinical/regulatory partners to ensure compliance and usability.
**Key Responsibilities:**
- Design, develop, and deploy advanced NLP models for healthcare data (claims, call centers, clinical notes).
- Implement model validation, bias mitigation, and fairness auditing pipelines.
- Conduct prompt engineering and adversarial testing for conversational AI systems.
- Collaborate with product managers to translate business requirements into technical specifications.
- Work with data engineers to build scalable data pipelines and feature stores.
- Oversee monitoring, retraining, and drift detection for models in production.
- Maintain documentation on data governance, model lineage, and compliance artifacts.
- Engage with regulatory and security teams to ensure alignment with AI in healthcare standards.
**Required Skills:**
- 8+ years of hands‑on experience with complete ML system development, deployment, and maintenance.
- 8+ years with advanced NLP models and methodologies (transformers, embeddings, etc.).
- 8+ years of proficiency in Python and ML frameworks (scikit‑learn, Pandas, NumPy).
- Deep understanding of AI ethics, fairness, and bias mitigation techniques.
- Strong analytical thinking, problem‑solving, and ability to work independently.
- Excellent written and verbal communication; able to explain complex concepts to non‑technical stakeholders.
**Preferred Skills (non‑mandatory):**
- Healthcare domain knowledge (claims payment, call centers, claims‑based research).
- Experience with large language models or conversational AI.
- Familiarity with prompt engineering and adversarial testing.
- Exposure to AI regulatory frameworks and information security principles.
**Required Education & Certifications:**
- Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a closely related technical field.
- Any relevant certifications (e.g., TensorFlow Developer, AWS Certified Machine Learning) are a plus but not required.