Lead the development, assessment, and validation of advanced data science models using best practices and appropriate evaluation metrics.
Design and implement data visualization solutions to effectively communicate complex insights to business stakeholders.
Translate business requirements into actionable data science projects aligned with organizational strategy.
Guide and mentor team members on modeling techniques, feature engineering, and data analysis methods.
Collaborate cross-functionally to identify data sources, ensure data quality, and deploy scalable models into production environments.
Monitor model performance post-deployment and recommend adjustments to maintain accuracy and robustness.

Requirements

Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years' experience in an analytics related field.
Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in an analytics related field.
Option 3: 7 years' experience in an analytics or related field.
Extensive expertise in data science and advanced machine learning techniques, including model assessment, validation, and tuning.
Proficiency in programming languages such as Python and SQL for data analysis, model development, and deployment.
Strong knowledge of data visualization tools and best practices to effectively communicate complex data insights.
Ability to mentor and guide team members on advanced modeling, feature engineering, and data storytelling techniques.
Solid understanding of business domains and metrics to provide impactful recommendations and solutions.
Demonstrated leadership in managing projects, fostering collaboration, and driving continuous improvement.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data sciencemachine learningmodel assessmentmodel validationmodel tuningPythonSQLdata visualizationfeature engineeringdata analysis

Soft Skills

mentoringguidingcollaborationleadershipcommunicationproject managementcontinuous improvementbusiness acumen