Job Description
Job Summary
- We are seeking a highly skilled and experienced AI and Data Science Lead to join our dynamic team. The successful candidate will be responsible for leading our AI and data science initiatives, managing a team of data scientists, and working closely with cross-functional teams to implement AI-driven solutions.
- The AI and Data Science Lead will play a crucial role in developing and executing our data strategy, driving innovation, and delivering impactful projects that align with our organizational goals.
Responsibilities
- Lead the AI and Data Science team in developing and implementing AI-driven solutions and data science projects.
- Collaborate with stakeholders to understand business needs and translate them into data science problems.
- Design and develop machine learning models and algorithms to solve complex problems and improve decision-making processes.
- Manage end-to-end data science projects, from data collection and preprocessing to model deployment and monitoring.
- Stay updated on the latest advancements in AI and data science and apply new techniques to improve existing processes.
- Provide technical leadership and mentorship to team members.
- Work with engineering teams to integrate AI models into production systems and ensure scalability and performance.
- Communicate findings and insights to non-technical stakeholders through clear and concise reports and presentations.
- Drive continuous improvement in data quality, data governance, and data infrastructure.
- Collaborate with external partners, research institutions, and industry experts to advance our AI and data science capabilities.
Qualifications
- At least 5 years of experience in AI and data science, with a proven track record of delivering successful AI projects.
- Strong expertise in machine learning, deep learning, natural language processing, and data analytics.
- Proficiency in programming languages such as Python, R, or Java, and experience with data science libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and big data technologies (e.g., Hadoop, Spark).
- Excellent problem-solving skills and the ability to work with large and complex datasets.
- Strong communication and leadership skills, with the ability to collaborate effectively with cross-functional teams.
- Experience in managing and mentoring data science teams.
- Familiarity with AI ethics, data privacy regulations, and best practices in AI governance.
- A passion for innovation, continuous learning, and staying ahead of industry trends.
Preferred Qualifications:
- Ph.D. in a related field.
- Experience in the education or social impact sector.
- Published research or contributions to the AI and data science community.
- Experience in AI-driven product development or start-ups.