Job Description:
The Head of Data Science is a senior leadership position responsible for spearheading the development and deployment of advanced machine learning models and data-driven products. This role focuses on student audience segmentation, predictive propensity modeling, and AI-enabled career advising.
* Data Science Strategy and Team Leadership
* Lead a team of data scientists and engineers, directing the creation and maintenance of robust, scalable data pipelines and analytical solutions.
* Define the technical roadmap and best practices for all data science initiatives, focusing on model reliability, fairness, and interpretability.
Key Responsibilities:
1. Direct the design, development, and implementation of high-impact data products, especially those focused on segmentation and propensity models.
2. Collaborate closely with product managers and business stakeholders to translate strategic requirements into data product features.
3. Implement and manage MLOps and CI/CD workflows for efficient model and data product deployments.
Requirements:
* Proven ability to set technical direction, produce high-quality work, manage autonomously, and take strategic initiative.
* Strong business acumen with unwavering ethics and a willingness to lead by example.
* Familiarity with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
* Experience with cloud-based data platforms (e.g., BigQuery, Redshift, GCS, S3).
Benefits:
This role offers a unique opportunity to drive innovation and growth in the field of data science, working closely with a talented team of professionals who share a passion for advancing machine learning and data analytics.
About Us:
Our organization is committed to fostering a culture of excellence, collaboration, and continuous learning, where our team members can grow and thrive in their careers.