Sr. Data Analytics and AI Expert

Overview

The Senior Data Analytics and AI Expert plays a crucial role in our organization, providing advanced expertise in data analysis and artificial intelligence. They are responsible for designing and implementing AI solutions to extract insights from large datasets, driving informed decision-making and innovation.

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 cross-functional teams to integrate AI-driven 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 AI-driven insights to non-technical 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 problem-solving and critical thinking skills.
Strong communication and collaboration abilities in cross-functional teams.
Experience in leading AI projects and managing AI-focused teams.
Proven track record of leveraging AI to drive tangible business outcomes.
Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities.