Senior Data Scientist

This is a fully remote position, open to applicants in Illinois.

📋 Description

• Conduct statistical and mathematical analyses to aid in business decision-making.

• Provide support for AI/ML applications within a deployed production context.

• Collaborate with cross-functional teams to pinpoint business challenges that are appropriate for machine learning solutions.

• Deliver data science solutions to stakeholders in an iterative manner.

• Work alongside Associate Data Scientists and Data Scientists on tasks such as data exploration, data cleansing, feature engineering, hypothesis testing, and developing baseline models.

• Independently manage multiple data science model development projects.

• Engage with business stakeholders and product management for collaboration.

• Oversee model development from initial concept to implementation, including ML pipelines, documentation, model drift management, and remodeling strategies.

• Mentor Associate Data Scientists and Data Scientists.

• Coordinate with the ML team to address deployment issues, resource needs, model deployment, and retraining processes.

• Take responsibility for critical stakeholder tickets and issues, or delegate as necessary.

• Navigate, troubleshoot, debug, and enhance extensive codebases.

• Contribute to coding standards and uphold sound coding practices.

• Develop and maintain documentation for ML models, data sources, and methodologies.

• Assist in the creation of feasibility documents.

• Engage in research and development while implementing process improvements or new methodologies.

• Share knowledge during internal team sessions and workshops.

• Facilitate Scrum, Kanban, and other development methodologies in group projects.

⛳️ Requirements

• Master's degree in data science, mathematics, computer science, statistics, or a related field with 3+ years of experience, OR a bachelor's degree with 6+ years of experience in data science.

• Strong written, verbal, and interpersonal communication abilities.

• Expert-level knowledge of classification, regression, clustering, dimensionality reduction, association rule learning, bagging, boosting, neural networks and deep learning, model evaluation and metrics, cross-validation, hyperparameter tuning, optimization algorithms, NLP, and other relevant topics.

• Practical experience with Agile/SCRUM methodologies, including 1–2 years in practice.

• Inquisitive mindset towards recent advancements such as LLM/generative AI models.

• Capability to foresee deployment constraints, data latency issues, algorithm suitability, and mathematical assumptions.

• At least 1 year of experience working with a major cloud platform and developing ML models from data exploration to deployment.

• Familiarity with large datasets in a cloud-based environment.

• Understanding of APIs and CI/CD processes.

• Knowledge of DevOps and MLOps principles.

• 1+ year of experience writing production-grade code in Bash, Python, and SQL.

• Skills in identifying code enhancements, selecting optimal data structures, optimizing code, and writing custom code.

• Proven ability to navigate a data lake environment while constructing training datasets or feature stores.

• Competent in creating, deploying, and troubleshooting ML containers.

• 1+ year of experience using version control systems like Git.

• Ability to investigate and research ML frameworks, algorithms, datasets, and feature stores.

• Capacity to provide macro-level thought leadership to junior team members.

🏝️ Benefits

• Annual incentive plan bonus may be available.

• Health insurance coverage.

• Pre-tax spending accounts.

• Retirement benefits.

• Paid time off.

• Short-term disability coverage.

• Long-term disability coverage.

• Employee stock purchase plan.

• Life insurance benefits.