Senior Machine Learning Engineer

• Lead the design and implementation of scalable production-grade ML systems in cloud environments with a focus on performance reliability and reproducibility.
• Collaborate with product managers and senior stakeholders to define and prioritize ML initiatives aligned with business goals.

• Oversee the architecture and evolution of data pipelines for multi-terabyte datasets ensuring efficiency and reliability.
• Guide the development of high-impact features and label sets across diverse domains such as healthcare and consumer analytics

• Lead experimentation strategy including design of A/B tests advanced validation methods and lifecycle management using tools like MLflow and Databricks.
• Drive continual model improvement through advanced techniques such as automated retraining model decay analysis and bias mitigation. Innovation & Prototyping
• Champion rapid prototyping and proof-of-concept development to evaluate emerging technologies and ML techniques.
• Lead technical explorations into new ML architectures (e.g. foundation models causal inference time series deep learning).

• Serve as a technical leader and trusted advisor working closely with product engineering data and executive teams to shape end-to-end ML solutions. Code Quality & Documentation
• Set standards for code quality performance and documentation and mentor junior engineers in best practices

• Bachelor's or Master's degree in Computer Science Machine Learning Data Science or a related field (or equivalent practical experience).
• 5+ years of industry experience as an ML Engineer Data Scientist or Data Engineer with a focus on deploying and scaling ML systems.
• Deep expertise in Python SQL and PySpark for distributed data processing with proficiency in libraries like scikit-learn PyTorch and XGBoost.
• Proven experience designing robust ML pipelines leveraging tools like MLflow or equivalent.
• Strong command of ML frameworks (e.g. scikit-learn TensorFlow XGBoost PyTorch).
• Hands-on experience deploying models in cloud-based environments (AWS GCP Azure and Databricks).
• Proven ability to manage end-to-end ML lifecycles at scale including data ingestion training evaluation deployment and monitoring.
• Excellent communication skills and demonstrated ability to influence cross-functional teams.

• Experience working with healthcare claims EHR or life sciences datasets.
• Advanced degree (M.S. or Ph.D.) in Computer Science Data Science or related technical field.
• Strong knowledge of MLOps practices including CI/CD for ML automated retraining and model versioning.
• Experience with deep learning architectures for time series forecasting sequential data or hierarchical modeling.
• Proficient in designing evaluation protocols and defining performance metrics to rigorously assess model effectiveness and drive data-driven decision-making.
• Comfortable operating in fast-paced high-ownership environments and able to prioritize multiple high-impact projects

• Industry leading products
• Work hard and have fun doing it
• Incredibly fast growth means limitless opportunity
• Flexible and dynamic culture
• Work alongside some of the most talented and dedicated teammates
• Definitive Cares our community service group gives all of us a chance to give back
• Competitive benefits package including great healthcare benefits and a 401(k) match

What We Do

We’re a healthcare technology company that provides industry-leading intelligence on the healthcare provider market. Why do we do it? Because understanding provider landscapes identifying opportunities and reaching the right points of contact can be difficult to do in a constantly changing market. But it doesn’t have to be. Our comprehensive data platform reduces market complexity and streamlines physician and facility insights. Our experienced team is here to help your organization turn those insights into acceleration—whether it’s advancing your go-to-market strategy or closing a new deal.We make healthcare actionable and accessible for our industry partners. How do we do it? We collect proprietary research secondary research and third-party data and organize all of this into a searchable user-friendly platform.Since 2011 we’ve partnered with 9 of the top 10 pharmaceutical biotechnology and medical device companies. In that same period we’ve also partnered with 7 of the top 10 healthcare IT firms and over 2500 of the top healthcare providers healthcare staffing companies and consulting firms.

Why Work With Us

We will never stop improving the product we’ve worked so hard to develop for our customers. We’re thinking beyond simply providing more information; we’re building a solution designed to help users derive insights so their businesses can operate at a rapid pace. We are a collaborative and high energy environment with tons of opportunity for growth.

Gallery