Senior Applied Scientist

Inception; Abu Dhabi; On-site; AED 120,000 - 200,000; Full time

Job summary

A leading company in the UAE seeks a Senior Applied Scientist to spearhead advanced data analytics and business intelligence projects. This key role involves leveraging AI-driven solutions to deliver actionable insights across diverse industry verticals, collaborating with cross-functional teams to address unique client challenges. The ideal candidate will possess a strong academic background, extensive experience in machine learning and data analysis, and excellent communication skills to convey complex findings clearly.

Qualifications

• Minimum of 7 years in data analytics or AI.
• Hands-on experience with data visualization tools and programming languages.
• Strong problem-solving and communication skills.

Responsibilities

• Lead end-to-end data analytics projects and deliver insights.
• Develop AI models and maintain data pipelines.
• Present findings to clients enhanced understanding.

Skills

Data analysis

Machine learning

Statistical methods

Data visualization

Cloud computing

Programming (Python, R)

Education

Ph.D. or Master's degree in Computer Science or Data Science

Tools

Tableau

Power BI

SQL

AWS

Azure

Google Cloud

Pandas

NumPy

Scikit-Learn

Job description

Bachelor's in Computer Application (Computers)

Nationality: Any Nationality

Vacancy: 1 Vacancy

Job Description

Overview

Looking for an astute, insightful, and innovative Senior Applied Scientist to lead and execute data analytics and business intelligence projects for G42's diverse clients, leveraging AI-driven solutions to address their unique challenges and opportunities. You will be responsible for developing and implementing cutting-edge data analysis models, creating data visualizations, and providing strategic recommendations to clients across multiple industry verticals.

Responsibilities

• Lead and participate in end-to-end data analytics and business intelligence projects, from data collection and preprocessing to modeling, analysis, and reporting, employing statistical methods, machine learning algorithms, and data mining techniques.
• Collaborate with cross-functional teams to understand client requirements, design solutions, and deliver actionable insights.
• Develop and maintain scalable data pipelines and analytics infrastructure for efficient data processing and analysis.
• Design and develop AI models for predictive analytics, anomaly detection, and pattern recognition.
• Collaborate with clients to identify business objectives and translate them into data analysis and reporting requirements.
• Create and maintain dashboards and reports to visualize and communicate data-driven insights.
• Ensure data quality and accuracy by implementing data cleansing, transformation, and validation processes.
• Continuously evaluate and enhance data analytics processes, tools, and techniques to optimize efficiency and effectiveness.
• Present findings and recommendations to clients in a clear and understandable manner, tailoring communication to various stakeholders.

Qualifications

To qualify, you must have:

• A Ph.D. or Master's degree in a relevant field such as Computer Science, Data Science, Statistics, or a related discipline.
• Minimum of 7 years of experience in data analytics, business intelligence, or related roles, with a strong background in AI and machine learning applications.
• Proficiency in programming languages such as Python and R, as well as data analysis libraries (e.g., Pandas, NumPy, Scikit-Learn).
• Hands-on experience with data visualization tools (e.g., Tableau, Power BI) and database management systems (e.g., SQL).
• Experience in working with cloud computing platforms (e.g., AWS, Azure, Google Cloud) and big data technologies.

Ideally, You'll Also Need

• Strong problem-solving skills and the ability to work with complex, large-scale datasets.
• Excellent communication skills to effectively convey technical findings and insights to non-technical stakeholders.
• Strong project management and leadership skills to guide interdisciplinary teams and drive project success.
• Exceptional teamwork and interpersonal skills to foster collaboration and maintain strong client relationships.

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