
Chief Analytics Officer
9 hours ago
We are seeking a highly experienced and visionary Principal Data Scientist/Architect to lead and shape our data science initiatives. This role will be instrumental in defining our data strategy, driving innovation in AI/ML, and building scalable data solutions that directly impact our business.
The successful candidate will be a technical leader, mentor, and thought leader, working closely with cross-functional teams to identify opportunities, develop cutting-edge models, and architect robust data platforms.
Key Responsibilities:- Strategic Leadership: Define and champion the company's data science vision and strategy, aligning it with business objectives. Identify and prioritize high-impact data science projects.
- Architecture Design: Design and architect scalable and robust data platforms and solutions to support advanced analytics and AI/ML initiatives. Evaluate and select appropriate technologies and tools.
- Model Development & Innovation: Lead the development and implementation of advanced statistical and machine learning models to solve complex business problems. Drive innovation by exploring and experimenting with new algorithms and techniques.
- Data Exploration & Analysis: Lead data exploration and analysis efforts, identifying key insights and trends that can inform business decisions. Develop data visualizations and dashboards to communicate findings effectively.
- Mentorship & Team Leadership: Mentor and guide junior data scientists and engineers, fostering a culture of learning and growth. Provide technical leadership and direction on data science projects.
- Cross-functional Collaboration: Collaborate closely with product managers, engineers, and business stakeholders to understand their needs and translate them into data-driven solutions. Communicate complex technical concepts to non-technical audiences.
- Research & Development: Stay up-to-date with the latest advancements in data science, AI/ML, and related fields. Contribute to research and development efforts, exploring new methodologies and technologies.
- Data Governance & Quality: Champion data governance and quality initiatives, ensuring data accuracy, consistency, and compliance. Develop and implement data quality checks and validation procedures.
- Thought Leadership: Represent the company at industry conferences, publish research papers, and contribute to the data science community.
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