Data Scientist – Customer Analytics

About us:

NeoStats Analytics is a new age Data &Analytics consulting firm offering contemporary solutions and infinite possibilities. Our mission is to create a lasting competitive advantage for our clients by transforming them to world-class, data driven organizations. Established in 2022 to provide End to End Data, Analytics & AI Services, we are headquartered out of UAE, with bases in India & UK. Comprising of industry veterans, we enable Data and Analytics transformations powered by our expertise in Data Engineering, Analytics and Generative AI, true partnership and “Data to Value” approach.

• For details refer to: https://theneostats.com/

Project scope: Data Scientist – Customer Analytics

• Term: 5 months
• Job location: Abu Dhabi
• Experience requirement: 3 years +
• Reporting Manager/Line: Head of Customer Analytics

Role:

Non-technical

• Strong communication skills and ability to present findings
• Experience in Financial Industry
• Collaborate with cross-functional teams to understand business requirements
• Document all steps in the development process
• Stay updated with the latest developments in the field

Technical

• Advanced knowledge of statistical analysis and machine learning
• Highly Proficient in SAS programming language (SAS 9.4)
• Proficient is other Data Science programming languages (e.g. Python, R)
• Experience in Dataiku and understanding of MLOps (on Azure)
• Develop, test, implement, and maintain predictive models
• Identify opportunities to innovatively use data/ extract insights from complex data sets

Cultural Fit

• Owning the outcome (ownership)
• Being driven/passionate in analytics
• Problem solving mindset, challenging the status quo
• Self-organizing, independent and takes ownership of each task
• Meticulous to detail
• Thrive under pressure

KPIs:

• Time to deployment
• Model accuracy (e.g., RMSE, MAE for regression tasks)
• Number of business problems addressed
• Responsiveness to business questions/problems/requests
• Number of departments/business users supported/adopted the solution
• Stakeholder Satisfaction: The level of satisfaction of stakeholders with the reports and insights provided.
• Collaboration Effectiveness: The effectiveness of collaboration with cross-functional teams, measured through the quality of insights extracted.
• Data Security Compliance: Compliance with data security protocols and regulations.

Knowledge & Experience:

• 3years + in a similar role, ideally with financial services
• Advanced knowledge of statistical analysis and machine learning
• Highly Proficient in SAS programming language (SAS 9.4)
• Proficient is other Data Science programming languages (e.g. Python, R)
• Experience in Dataiku and understanding of MLOps (on Azure)
• Experience in Financial Industry will be an advantage
• Strong communication skills and ability to present findings to senior stakeholders (non technical)