Principal Data Scientist

This is a fully remote position, open to applicants in Illinois, +1 more state.

📋 Description

• Design, develop, implement, and monitor machine learning models, predictive analytics solutions, and generative AI applications.

• Construct and sustain scalable data pipelines, data products, and curated datasets on Databricks.

• Convert application, operational, and telemetry data into reliable enterprise assets.

• Architect and provide self-service analytics, interactive reporting, and conversational "chat with your data" capabilities.

• Write and evaluate production-quality code in Python, SQL, and Spark.

• Establish optimal practices for software engineering, data quality, testing, model development, AI governance, and MLOps.

• Own the technical roadmap of the team and influence architectural decisions.

• Collaborate with product managers, business stakeholders, engineers, architects, and technology leaders.

• Prioritize opportunities, align technical solutions with business requirements, and deliver measurable value.

• Guide, mentor, and cultivate a high-performing team of data scientists, engineers, and analysts.

⛳️ Requirements

• Over 10 years of experience in Data Science, Machine Learning, Artificial Intelligence, or Advanced Analytics, delivering production-ready solutions and quantifiable business outcomes in complex enterprise settings.

• More than 6 years of experience in developing production-quality solutions using Python, SQL, and Spark, including testing, version control, and best practices in software engineering.

• At least 4 years of experience in building scalable data pipelines, ensuring data quality at scale, and supporting cloud-based data lake architectures.

• A minimum of 3 years of experience with Databricks or a similar modern data and AI platform.

• Over 2 years of experience in designing and deploying Generative AI solutions, including Large Language Models (LLMs), AI agents, and related AI-powered applications within enterprise environments.

• At least 3 years of experience leading or mentoring data scientists and engineers, conducting technical design and code reviews, building analytics and visualization solutions, and translating complex business challenges into machine learning, analytics, and AI products.

• A Bachelor's degree from an accredited university or equivalent professional experience.

• A High School Diploma/GED combined with 4 years of relevant experience as an alternative educational pathway.

• Experience implementing MLOps, model monitoring, LLM observability, and machine learning lifecycle management using platforms like MLflow, Arize AI, Databricks, or similar tools.

• Experience in developing and deploying CI/CD pipelines, DevOps practices, and automated software delivery frameworks utilizing GitHub Actions.

• Familiarity with building forecasting, anomaly detection, recommendation, scoring, or optimization models within large-scale enterprise environments.

• Experience with Databricks Unity Catalog, enterprise data governance, data sharing frameworks, and contemporary data management practices.

• Excellent communication and influencing skills.

• Demonstrated achievements in machine learning, analytics, artificial intelligence, or generative AI through publications, patents, conference presentations, open-source contributions, or other notable accomplishments.

🏝️ Benefits

• CVS Health bonus, commission, or short-term incentive program in addition to base salary.

• Equity award program.

• Medical coverage.

• Dental coverage.

• Vision coverage.

• Paid time off.

• Retirement savings options.

• Wellness programs.

• Additional resources supporting physical, emotional, and financial well-being.