No sub contracting, No C2C, No sponsorship, Direct Local W/2's only please..... 3 days onsite required, so be local for this 4 months w/2 contract for the following need:
Data Scientist II
Contract Duration: 4 Months
Location: Hybrid (Onsite Monday Wednesday, 8:00 AM 5:00 PM; flexibility required)
Interview Process
- In-person interview (approximately 2 hours and 15 minutes)
- HackerRank assessment focused on SQL and Python
- Technical interview covering Machine Learning techniques and AI solution design
- Same-day follow-up interview
Position Overview
We are seeking an experienced Data Scientist II to support high-impact AI/ML initiatives within a regulated environment. This role will focus on enhancing targeting models, building scalable machine learning solutions, and delivering production-ready analytics that drive measurable business outcomes.
The ideal candidate combines strong technical expertise, hands-on machine learning experience, and the ability to work independently while collaborating effectively across cross-functional teams.
Key ResponsibilitiesMachine Learning Model Development
- Design, develop, and optimize machine learning models to improve targeting accuracy and overall business performance
- Apply advanced machine learning and deep learning techniques to enhance existing models and build new predictive solutions
- Evaluate model performance and continuously refine algorithms for improved outcomes
Feature Engineering & Data Preparation
- Build scalable feature engineering pipelines that transform raw, complex datasets into high-quality model inputs
- Work with large, complex datasets including claims or similarly structured data while ensuring data integrity and usability
- Perform data cleansing, validation, and exploratory analysis to improve model readiness
Production Deployment & Scalability
- Convert analytical models and scripts into scalable, production-ready pipelines
- Maintain high standards for code quality, documentation, and reproducibility
- Support model deployment, monitoring, and ongoing performance optimization
- Partner with engineering teams to ensure scalable implementation of AI/ML solutions
Cross-Functional Collaboration
- Collaborate with data science, analytics, product, and business teams to translate business challenges into technical solutions
- Clearly communicate methodologies, assumptions, and model outcomes to technical and non-technical stakeholders
- Provide strategic insights that influence business decision-making
Required Qualifications
- Master s or PhD in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field
- 5+ years of hands-on experience in data science and machine learning model development
- Proven experience taking models from concept through deployment into production environments
- Strong proficiency in Python, SQL, and AWS
- Deep expertise in machine learning and/or deep learning methodologies
- Experience working with large-scale, complex datasets in collaborative environments
Preferred Qualifications
- Experience working in healthcare, pharmaceutical, insurance, or other highly regulated industries
- Experience working with claims data or similarly complex datasets
- Strong understanding of data privacy, compliance, and governance requirements
- Experience with MLOps practices including pipeline automation, deployment, monitoring, and model lifecycle management
What We re Looking For
- A self-driven professional who can independently lead model development initiatives
- Someone who thrives in collaborative environments and contributes to team success
- A candidate who balances technical excellence with business impact
- Strong problem-solving skills with the ability to build scalable, meaningful AI/ML solutions in fast-paced environments
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