Senior Data Analytics and AI Scientist

Tatweer Middle East & Africa LLC; Town of Boston (NY); Remote; USD 120,000 - 180,000; Full time

Job summary

An established industry player is seeking a Senior Data Analytics and AI Scientist to spearhead its data strategy and AI initiatives. This pivotal role will leverage data as a strategic asset to enhance business performance and optimize decision-making processes. You will lead a high-impact team, driving innovation through advanced analytics tools and AI-driven insights. The ideal candidate will possess a Master’s or Ph.D. in a related field and have a proven track record in executive leadership. Join a forward-thinking company that values data-driven culture and aims to revolutionize client experiences through cutting-edge technology and strategic vision.

Qualifications

• Master’s or Ph.D. in a relevant field is required.
• Experience in leading large-scale data initiatives is essential.
• Expertise in AI and machine learning methodologies is crucial.

Responsibilities

• Lead the development of a comprehensive data strategy.
• Architect AI and machine learning strategies for innovation.
• Ensure compliance with data regulations and governance.

Skills

Data Analytics

Artificial Intelligence

Machine Learning

Cloud Platforms (AWS, Azure, Google Cloud)

Python

R

SQL

Team Leadership

Problem-Solving

Decision-Making

Education

Master’s or Ph.D. in Data Science

Master’s or Ph.D. in Artificial Intelligence

Master’s or Ph.D. in Computer Science

Master’s or Ph.D. in Statistics

Master’s or Ph.D. in Business Analytics

Tools

AWS

Azure

Google Cloud

Python

R

SQL

Job description

Senior Data Analytics and AI Scientist will be responsible for the development and execution of the organization’s data strategy, advanced analytics initiatives, and artificial intelligence (AI) programs. This role involves leveraging data as a strategic asset to enhance business performance, optimize decision-making, and improve client experiences.

Work Locations

• On-site :
  
  • United Arab Emirates: Abu Dhabi, Dubai
  • Egypt: Cairo
• Remote :
  
  • United States: New York, Boston, San Francisco, Los Angeles, Silicon Valley Region, Atlanta, Chicago, Austin, Seattle, Ann Arbor

Responsibilities

• Lead the development and execution of a data strategy that ensures quality, security, compliance, and promotes a data-driven culture across the organization.
• Spearhead the development of advanced analytics tools and AI-driven insights, collaborating with senior leaders to optimize decision-making and drive business growth.
• Architect AI and machine learning strategies to drive automation, enhance client experiences, and maintain industry-leading innovation.
• Orchestrate and elevate a high-impact team of data professionals, ensuring seamless alignment of data strategies with company objectives while championing data literacy across the organization.
• Enforce compliance with data regulations, collaborate with cybersecurity teams to mitigate risks, and oversee data governance for responsible AI use and data stewardship.

Skills + Experience

• Education: A Master’s or Ph.D. in Data Science, Artificial Intelligence, Computer Science, Statistics, Business Analytics, or a closely related discipline is required.
• Experience:
• Experience in data analytics, business intelligence, or AI, with a demonstrated history of leading large-scale data and analytics initiatives.
• Significant experience in executive leadership, ideally in a senior management or C-suite role.
• Expertise with cloud platforms (such as AWS, Azure, or Google Cloud), big data technologies, and advanced analytics tools (Python, R, SQL).
• In-depth knowledge and experience with artificial intelligence, machine learning, and data science methodologies.
• Strategic Vision: Ability to align data and AI strategies with the long-term objectives of the business.
• Innovation Leadership: Commitment to harnessing AI and emerging technologies to drive forward-thinking innovation.
• Team Leadership: Proven ability to inspire, lead, and manage high-performing teams to deliver exceptional results.
• Problem-Solving: Advanced analytical skills to address complex data challenges and deliver practical solutions.
• Decision-Making: Demonstrated ability to make informed, data-driven decisions in dynamic and high-pressure environments.