Requirements: (10+ years of total experience, 8+ years of relevant experience)
Overview:
- As the apex of the data science hierarchy, the Principal Data Scientist will set the strategic direction for data-driven initiatives, ensuring alignment with organizational goals, and leads in the adoption of advanced technologies including Machine Learning, Deep Learning, and General AI.
Job Description:
- Strategically lead the planning and execution of data science projects, focusing on innovative solutions in Machine Learning, Deep Learning, and Generative AI.
- Act as a mentor and guide to the Data Science team, promoting a culture of excellence and innovation.
- Collaborate with senior leadership to integrate Data Science capabilities across the business, enhancing decision-making and operational efficiency.
- Drive the adoption of advanced analytical techniques and tools, ensuring the team remains at the forefront of technological advancements.
Qualifications:
- Masters Degree in Computer Science, Statistics, Mathematics, or a related field, with a strong focus on Machine Learning, Deep Learning, and AI.
- Demonstrated track record in leading data science projects and initiatives.
- Extensive experience with Python and its libraries for data science (e.g., TensorFlow, PyTorch).
Skills:
- Expertise in Machine Learning, Deep Learning, and Generative AI.
- Proficiency in Python is mandatory; familiarity with BI & Data Engineering, Snowflake, and Snowpark is a plus.
- Strong leadership, mentorship, and strategic thinking capabilities.
- Deep domain knowledge in one or more industries, with the ability to apply data science principles effectively.
- Excellent communication skills, capable of driving innovation and change.
