Description

Lead complex, large-scope data science projects that drive long-term impact through advanced modeling and analytical solutions.

Responsibilities

• Lead complex projects by independently determining methods for completion and providing precedent-setting solutions.
• Recommend new practices, processes, metrics, and models to improve organizational capabilities.
• Mentor less experienced colleagues and participate in developing policies and procedures to achieve goals.
• Apply advanced technical knowledge to manage a wide variety of projects from conception to delivery.
• Translate academic research into practical, functional models.

Required Skills

• 3+ years of proven Data Science experience with involvement in packaged platform delivery and management.
• Strong mathematical and statistical skills, including regression, random forests, trees, and social network analysis.
• Expertise in machine learning techniques such as artificial neural networks, clustering, decision tree learning, and dimensionality reduction.
• Proficiency in statistical and data mining techniques including boosting and generalized linear models.
• Understanding of cloud data engineering and integration concepts.
• Strong business acumen to harness data and analytics for specific business needs.
• Bachelor’s degree in Mathematics, Statistics, Engineering, Computer Science, or equivalent relevant work experience.

Preferred Skills

• Master’s degree or PhD in a related field.
• Experience with GCP, Big Query, and Google Cloud Storage.
• Experience with DevOps Agile practices.

Key Skills

Education

Any Graduate