Job Description
We are seeking a seasoned Lead Data Scientist to spearhead our machine learning initiatives and drive data-driven decision making across the organization. As a key member of our team, you will be responsible for defining the strategic vision, leading the development, and overseeing the deployment of advanced machine learning models and data-driven products.
About the Role:
* Define technical roadmap and best practices for all data science initiatives, focusing on model reliability, fairness, and interpretability.
* Direct the design, development, and implementation of high-impact data products, especially those focused on segmentation and propensity models.
* Design, develop, and implement machine learning models and algorithms for complex student audience analysis and AI-enabled career advising.
* Oversee the utilization of advanced machine learning techniques, including predictive modeling, recommendation systems, and natural language processing.
* Establish rigorous processes for model evaluation, optimization, and monitoring in production environments.
* Develop and maintain robust, scalable data pipelines to support all phases of the ML lifecycle.
Required Skills and Qualifications
To succeed in this role, you will need:
* A minimum of 10 years of experience in machine learning engineering, data science, or a related analytical/leadership role within SaaS, marketing technology, higher ed tech, or related domains.
* Demonstrated experience in managing and mentoring a team of data scientists or ML engineers.
* Expert-level experience building and deploying segmentation and propensity models in a commercial setting.
* Familiarity with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
* Experience with data manipulation and analysis using Python (e.g., Pandas, NumPy).
* Experience with cloud-based data platforms (e.g., BigQuery, Redshift, GCS, S3).
* Proficiency in SQL for complex data querying and manipulation.
* Experience with Git and Git providers (e.g., GitHub, BitBucket, GitLab).
* Deep understanding of statistical analysis, experimental design, and A/B testing methodologies.
Benefits
We offer:
* A dynamic work environment that fosters innovation and collaboration.
* A comprehensive benefits package, including flexible paid time off and a personal laptop.
* A fully remote work setup.
What We Are Looking For
We welcome candidates who are passionate about driving business outcomes through data science and machine learning. If you have a strong track record of delivering high-impact projects and are eager to take on new challenges, we encourage you to apply.