Principal Data Scientist

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

📋 Description

• Define the strategic vision for advanced analytics throughout the organization

• Provide essential insights, actionable recommendations, and production-ready systems that influence key business outcomes

• Oversee the creation of highly complex, scalable, reliable, and maintainable analytical solutions

• Offer subject matter expertise and technical guidance to data science teams and senior management

• Deliver technical leadership and mentorship to data scientists and technical leads

• Establish and promote best practices, continuous learning, and knowledge sharing

• Identify and incorporate innovative technologies and methodologies

• Shape analytics strategy while aligning data science efforts with business goals

• Analyze and address highly complex data science challenges and devise novel approaches

• Select and implement advanced methods and techniques using independent judgment

• Collaborate with executive leadership, product management, and stakeholders on product strategy

• Transform business requirements into scalable technical solutions

• Identify and mitigate significant technical risks and uncertainties across projects and systems

⛳️ Requirements

• Over 12 years of progressive experience in data science, machine learning, or optimization models

• Significant history of leading impactful, organization-wide or industry-defining technical initiatives

• Master's degree in a quantitative discipline such as Mathematics, Statistics, Computer Science, Machine Learning, Operations Research, or a related field, or equivalent extensive practical experience

• Advanced skills in multiple programming languages, including Python and R

• Proficiency with relevant libraries, such as scikit-learn, TensorFlow, PyTorch, and Spark

• Extensive experience with big data technologies, including Hadoop, Spark, and Kafka

• Significant experience with cloud-based analytics platforms such as AWS, Azure, and GCP

• In-depth knowledge of data modeling techniques, including deep learning, Bayesian networks, and causal inference

• Comprehensive knowledge of statistical methods, such as Bayesian analysis, causal inference, and time series analysis

• Capability to create engaging data visualizations for executive audiences

• Ability to convey complex technical concepts to diverse audiences

• Acknowledged expertise in advanced analytics practices with the ability to mentor and guide data scientists

• A PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, or a related field is preferred

🏝️ Benefits

• Medical/Dental/Vision

• Life insurance and Disability

• Retirement and 401(k) match

• Paid time off, wellness time, and volunteer time

• Merchandise discount and EAP resources

• Tuition Reimbursement

• Comprehensive compensation and benefits package

• Many benefits commence on day one and extend to eligible dependents