People In AI ยท 3 hours ago
Head of Data Science
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Responsibilities
Strategic Leadership: Define the data science vision, set the technical roadmap, and align it with broader business goals.
Architectural Excellence: Design and implement scalable, cloud-based data ecosystems, from raw data ingestion to production-grade ML deployments.
Innovative Analytics & ML: Oversee the development of advanced models, algorithms, and analytics frameworks to extract actionable insights from large, complex datasets.
Team Development: Recruit, mentor, and lead a multidisciplinary team of data scientists and ML engineers. Foster a culture of innovation, collaboration, and continuous improvement.
Operational Integration: Collaborate closely with cross-functional stakeholders to ensure that data-driven insights directly inform strategic priorities and day-to-day operations.
Qualification
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Required
Several years of leadership in data science and ML, with hands-on experience designing end-to-end solutions.
Expertise in modern ML frameworks, MLOps, data engineering best practices, and deploying models in production environments.
Ability to distill complex analytics into clear recommendations that drive strategic decision-making and value creation.
Skilled at guiding technical teams and influencing non-technical leaders, ensuring alignment, buy-in, and measurable impact.
Benefits
15% bonus
Equity participation
100% remote with the autonomy to shape the data science practice
Company
People In AI
At People in AI, we specialize in staffing solutions for the rapidly expanding AI sector.
Funding
Current Stage
Early StageCompany data provided by crunchbase