Sr Data analytics and AI Expert

Overview

Key Responsibilities

• Lead the development and execution of AI strategies to drive business growth and optimize operations.
• Design and implement complex data models algorithms and automated AI systems.
• Utilize machine learning techniques to develop predictive models and optimize processes.
• Implement data mining and statistical analysis to derive actionable insights from large complex data sets.
• Collaborate with crossfunctional teams to integrate AIdriven solutions into various business operations.
• Conduct thorough analyses to identify trends patterns and correlations within data sets.
• Maintain and enhance existing AI models ensuring their accuracy and reliability.
• Construct and maintain AI pipelines for data acquisition validation and cleaning.
• Stay updated on the latest AI and data analysis technologies and best practices.
• Communicate complex technical findings and AIdriven insights to nontechnical stakeholders.
• Provide mentorship and guidance to junior data analysts and AI professionals.
• Contribute to the development and maintenance of a robust data infrastructure.
• Identify and address potential data quality issues or gaps within the organization.
• Participate in the evaluation and adoption of new AI tools and platforms.
• Collaborate with IT teams to ensure seamless integration of AI solutions with existing systems.

Required Qualifications

• Computer Science Statistics Data Science or a related field.
• Proven experience as a data scientist data analyst or AI expert.
• Demonstrated expertise in machine learning deep learning and neural networks.
• Proficiency in programming languages such as Python R or Java.
• Strong background in statistical analysis and data visualization.
• Experience with big data platforms and tools such as Hadoop Spark or Kafka.
• Excellent understanding of AI frameworks and libraries such as TensorFlow and PyTorch.
• Advanced knowledge of cloud computing platforms and services such as AWS or Azure.
• Ability to develop and deploy scalable AI solutions in production environments.
• Solid understanding of data management data governance and data security principles.
• Exceptional problemsolving and critical thinking skills.
• Strong communication and collaboration abilities in crossfunctional teams.
• Experience in leading AI projects and managing AIfocused teams.
• Proven track record of leveraging AI to drive tangible business outcomes.
• Ability to thrive in a fastpaced dynamic environment and manage multiple priorities.

data analytics,machine learning,statistical analysis,platforms,models,data,artificial intelligence