Specialist - Data Analysis

at  G42

Overview:
Job Description: Specialist – Data Analysis (Computer Vision)
Location: Abu Dhabi

THE OPPORTUNITY:

We are looking for an eager to grow Specialist – Data Analysis to be a part of the team at Presight!
Responsibilities:

REQUIREMENTS:

• Minimum 5yrs experience.
• Bachelor’s degree in Information Technology, Computer Science, or relevant field.
• Proven working experience as a Data Analyst or Business Data Analyst.
• Hands on data labeling and annotation tools for computer vision like CVAT, Rob flow, LabelMe etc.
• Technical expertise regarding data models, database design development, data mining and segmentation techniques
• Proven experience in data analysis, with a strong understanding of statistical methods and data visualization.
• Experience with SQL, Python/R, or similar data analysis tools is required.
• Proficiency in data visualization tools such as Tableau, Power BI, or similar. ELK is a plus.
• Proficiency in any cloud technology is recommended.
• Solid understanding of statistics, machine learning, and data mining techniques.
• Experience working with large and complex datasets.
• Ability to work effectively in a fast-paced and dynamic environment.

Functional

• Interpret data, analyze results using statistical techniques and provide ongoing reports.
• Search for solutions; locate and define new process improvement opportunities.
• Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality.
• Identify, analyze, and interpreting trends or patterns in complex data sets.
• Work with management to prioritize business and information needs.
• Work with IT and data owners to understand the types of data collected in various databases and data warehouses.
• Collect, clean, and preprocess large datasets for analysis.
• Perform exploratory data analysis to identify patterns, trends, and anomalies.
• Develop and apply statistical and machine learning models to extract insights from data.
• Work closely with AI researchers, engineers, and developers to understand project requirements and provide data-driven insights.
• Collaborate with cross-functional teams to design experiments and validate hypotheses.
• Communicate findings and insights to stakeholders through reports, presentations, and visualizations.
• Stay up-to-date with the latest advancements in data analysis, machine learning, and AI research.
• Comply with QHSE (Quality Health Safety and Environment), Business Continuity, Information Security, Privacy, Risk, Compliance Management and Governance of Organizations policies, procedures, plans and related risk assessments.

Qualifications: