Senior Data Scientist

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

📋 Description

• Perform statistical and mathematical analyses to facilitate informed business decision-making.

• Support AI/ML in a live production setting.

• Collaborate with cross-functional teams to comprehend business and domain contexts for ML opportunities.

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

• Assist in transforming business challenges into ML problems.

• Investigate data sources, clean data, conduct feature engineering, and develop baseline models.

• Independently oversee multiple projects related to data science model development.

• Work closely with stakeholders, including product management teams.

• Manage the model development process from inception to implementation, including ML pipelines, documentation, model drift, and strategies for remodeling.

• Mentor Associate Data Scientists and Data Scientists.

• Coordinate with the ML team on deployment challenges, resource needs, deployment processes, and model retraining.

• Manage or delegate critical tickets and issues from stakeholders.

• Navigate extensive codebases for troubleshooting, debugging, and enhancements.

• Contribute to and uphold coding standards and conventions.

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

• Assist in the development of feasibility documents.

• Participate in R&D and implement process improvements or new methodologies.

• Share knowledge through internal presentations and workshops.

• Guide the implementation of Scrum, Kanban, and other development methodologies, including features, tasks, effort estimates, and timelines.

⛳️ 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 skills.

• Advanced understanding of classification, regression, clustering, dimensionality reduction, association rule learning, bagging, boosting, neural networks, deep learning, model evaluation and metrics, cross-validation, hyperparameter tuning, optimization algorithms, NLP, and more.

• Familiarity with Agile/SCRUM methodologies with 1–2 years of practical experience.

• Intellectual curiosity about the latest advancements, including LLM/Generative AI models.

• Ability to foresee deployment challenges, 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.

• Proficiency in managing large datasets within a cloud environment.

• Working knowledge of APIs and CI/CD processes.

• Understanding of DevOps and MLOps principles.

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

• Ability to identify code improvements, select suitable data structures, optimize code, and create custom code.

• Proven capability to independently navigate a data lake environment while creating training datasets or feature stores.

• Skills in creating, deploying, and troubleshooting containers for ML modeling.

• 1+ year of experience with version control systems/concepts such as Git.

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

• Capability to provide macro-level thought leadership to junior Data Scientists.

• Must be able to work remotely from anywhere in the United States, excluding Hawaii and U.S. territories.

🏝️ Benefits

• Annual incentive plan bonus may be available.

• Health insurance.

• Pre-tax spending accounts.

• Retirement benefits.

• Paid time off.

• Short-term disability.

• Long-term disability.

• Employee stock purchase plan.

• Life insurance.