Job Description

Overview We are seeking a Senior Data Scientist (Level II) to support high-impact AI/ML initiatives within a regulated environment. This role will focus on advancing targeting models and delivering scalable, production-ready solutions that drive business outcomes. The ideal candidate brings strong technical depth, hands-on model development experience, and the ability to operate independently while collaborating across cross-functional teams.

Key Responsibilities

• Model Development & Optimization: Lead the design, development, and optimization of machine learning models to improve targeting accuracy and business performance
• Apply advanced Machine Learning and Deep Learning techniques to refine existing models and develop new solutions as needed
• Feature Engineering & Data Preparation: Design and build scalable feature pipelines, transforming raw and complex datasets into high-quality model inputs
• Work with large, messy datasets (e.g., claims data) while ensuring data integrity and usability
• Production & Pipeline Scalability: Transition analytical models and scripts into robust, production-ready pipelines
• Ensure code quality, documentation, and adherence to engineering and data science best practices
• Support model deployment, monitoring, and ongoing performance improvements
• Cross-Functional Collaboration & Insight Translation: Partner with data science, analytics, and business teams to translate business problems into technical solutions
• Communicate model methodologies, assumptions, and results clearly to non-technical stakeholders

Qualifications Required

• Master's or PhD in Data Science, Computer Science, Statistics, or a related field
• Minimum 5+ years of hands-on experience in data science and machine learning model development
• Proven track record of taking models from ideation through production deployment
• Strong proficiency in Python, SQL, and AWS
• Deep expertise in Machine Learning and/or Deep Learning techniques
• Experience working with large-scale, complex datasets in collaborative environments

Preferred Experience

• Experience within healthcare, pharmaceutical, or other highly regulated industries
• Hands-on experience with claims data or similarly complex, regulated datasets
• Strong understanding of data privacy, compliance, and governance requirements
• Experience with MLOps practices, including pipeline automation, deployment, and monitoring

What We're Looking For

• A self-driven, senior-level contributor who can lead model development efforts and influence technical direction
• Someone who thrives in a team environment and contributes to shared goals without needing sole ownership
• A candidate who balances technical excellence with business impact, delivering solutions that are both scalable and meaningful

Additional Notes This is a Level II role, requiring demonstrated depth in both technical execution and real-world application of AI/ML solutions Candidates must be comfortable working in a fast-paced, collaborative, and regulated environment

For applications and inquiries, contact: hirings@openkyber.com

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