Data Scientist, Principal

This is a fully remote position, open to applicants in Alabama, +45 more states.

📋 Description

• Spearhead advanced analytics projects to address intricate business challenges through quantitative analysis, statistical modeling, and machine learning techniques.

• Conceptualize, create, and implement machine learning models for decision-making systems, recommendation frameworks, anomaly detection, pattern recognition, and forecasting/time series analysis.

• Collaborate with business stakeholders to industrialize and capitalize on insights derived from advanced analytics initiatives.

• Investigate, apply, and validate methods for causal inference, impact measurement, predictive modeling, clustering, and optimization.

• Examine extensive and diverse datasets using statistical inference and data mining methods to uncover relationships, trends, and performance drivers.

• Design and sustain scalable end-to-end analytics and machine learning solutions, data processing pipelines, and model lifecycle management practices.

• Facilitate both batch and near real-time/streaming data processing within a cloud-based analytics framework.

• Architect and oversee lakehouse-style data platform structures, focusing on data quality, schema management, and governance controls.

• Employ sampling techniques and experimental or quasi-experimental methodologies for research, analysis, and decision-making.

• Convert analytical findings and model insights into straightforward business terminology, effectively communicating results to both technical and non-technical audiences.

• Direct requirements analysis, evaluate interdependencies and priorities, and ensure alignment of initiatives with strategic roadmaps and organizational objectives.

• Implement Agile software development methodologies in analytics solutions.

• Offer technical leadership and guidance to junior engineers or analysts.

⛳️ Requirements

• Master's degree in Computer or Data Science, Business or Data Analytics, Information Technology, or a related field, along with 3 years of experience in a Data Scientist, Data Analyst, IT Consultant, or similar role.

• Alternatively, a Bachelor's degree in Computer or Data Science, Business or Data Analytics, Information Technology, or a related field, paired with 5 years of experience in a Data Scientist, Data Analyst, IT Consultant, or similar position.

• Proficient in advanced analytics and quantitative problem-solving.

• Skilled in statistical modeling and statistical inference techniques.

• Experience in developing machine learning models.

• Familiarity with decision systems and recommendation/next-best-action frameworks.

• Knowledge of anomaly detection and pattern recognition techniques.

• Expertise in predictive modeling, clustering, and time-series forecasting analysis.

• Understanding of causal inference and business impact measurement methodologies.

• Experience in data mining and relationship analysis on large datasets.

• Proficiency in end-to-end machine learning pipelines and model lifecycle management.

• Experience with scalable data processing utilizing distributed data processing frameworks.

• Familiarity with batch and near real-time/streaming data processing.

• Knowledge of modern data platform architectures, including lakehouse-style data frameworks.

• Experience with Agile software development practices and providing technical leadership.

🏝️ Benefits

• Equal employment opportunity policy.

• Remote/off-site work arrangement.

• No relocation required/relocation not eligible.