Data Scientist – Customer Analytics

About the Job:

NeoStats Analytics is a contemporary Data & Analytics consulting firm dedicated to transforming clients into world-class, data-driven organizations. Established in 2022, we offer a full range of Data, Analytics, and AI Services. Our mission is to help clients gain a lasting competitive advantage through advanced analytics and data solutions. Headquartered in the UAE, we also have bases in India and the UK, and we are powered by industry veterans with expertise in Data Engineering, Analytics, and Generative AI.

Location: Abu Dhabi Emirate, United Arab Emirates
Contract Type: On-site Contract (12 months)

Project Scope:

• Role: Data Scientist – Customer Analytics
• Reporting Manager: Head of Customer Analytics
• Experience Requirement: 10 years+

Key Responsibilities:

• Collaborate with cross-functional teams to understand business requirements.
• Develop, test, implement, and maintain predictive models.
• Document all steps in the development process.
• Stay updated with the latest developments in the field.
• Identify opportunities to innovatively use data and extract insights from complex data sets.

Technical Requirements:

• Advanced knowledge of statistical analysis and machine learning.
• Highly proficient in SAS programming language (SAS 9.4).
• Proficient in other Data Science programming languages (e.g., Python, R).
• Experience in Dataiku and understanding of MLOps (on Azure).

Cultural Fit:

• Ownership of outcomes.
• Passionate and driven in analytics.
• Problem-solving mindset and ability to challenge the status quo.
• Self-organizing and independent with meticulous attention to detail.
• Ability to thrive under pressure.

Key Performance Indicators (KPIs):

• Time to deployment.
• Model accuracy (e.g., RMSE, MAE for regression tasks).
• Number of business problems addressed.
• Responsiveness to business questions/problems/requests.
• Stakeholder satisfaction with provided reports and insights.
• Effectiveness of collaboration with cross-functional teams.
• Compliance with data security protocols and regulations.

Language Requirements:

• Strong communication skills and ability to present findings to senior stakeholders (non-technical).

This position offers a unique opportunity to impact business decisions through data analytics within the financial industry.