Senior Data Scientist

Mozn is a rapidly growing technology firm revolutionising the field of Artificial Intelligence and Data Science headquartered in Riyadh, Saudi Arabia. It’s working to realise Vision 2030 with a proven track record of excellence in supporting and growing the tech ecosystem in Saudi Arabia and the GCC region. Mozn is the trusted AI technology partner for some of the largest government organizations, as well as many large corporations and startups.

We are in an exciting stage of scaling the company to provide AI-powered products and solutions both locally and globally that ensure the growth and prosperity of our digital humanity. It is an exciting time to work in the field of AI to create a long-lasting impact.

The Mozn brand is alive within a plethora of stakeholder touchpoints, and therefore the most suitable candidate for the Senior Data Scientist position would be specialised in Open Banking, Credit Scoring, Financial Fraud Detection, Sanction Screening, Know Your Customer (KYC) procedures, and Anti-Money Laundering (AML) initiatives. As a Senior Data Scientist, you will play a critical role in developing and implementing advanced analytics models and techniques to detect and prevent fraudulent activities and mitigate AML risks.

As a Senior Data Scientist, your daily workload might include:

• Lead initiatives to develop and implement strategies for fraud detection and AML.
• Collaborate with various teams to define project roadmaps, technical and functional requirements, and deliverables.
• Conduct research, experimentation, and optimization to enhance technical solutions for detecting fraudulent activities.
• Drive the entire life cycle of fraud and AML systems, including the initial concept, implementation, and ongoing maintenance.
• Mentor and provide guidance to junior team members and support broader team initiatives, fostering a culture of continuous learning and development.
• Assist Business Development Managers and sales teams in promoting our fraud detection systems and products.
• Engage with clients to address technical challenges and offer customized project-based solutions.
• Stay updated with industry trends, best practices, and regulatory requirements related to fraud detection, AML, and financial crime prevention.

Our target profile is candidates with...

• Bachelor’s or Master's degree in Data Science, AI, Machine Learning, Mathematics, Statistics, or a related field.
• Proven 5 years of experience in building fraud detection ML models or consulting on fraud detection / fraud prevention systems / AML.
• 3+ years of experience in leading advanced data science projects.
• Proficient in handling and analyzing large datasets using SQL and Python.
• Proficient in implementing graph analytics for fraud detection purposes.
• Hands-on experience in data extraction, visualization, analysis, and transformation.
• Expert in building and maintaining advanced ML and statistical models.
• Skilled in utilizing databases, data warehousing, and data modeling techniques.
• Ability to create and manage complex multi-stage data pipelines.
• Proficiency in English and Arabic is highly advantageous.
• Excellent bilingual verbal and written communication skills.
• Excellent problem-solving skills, attention to detail, and adaptability.
• Must be humble, excellent, relevant, with a high sense of ownership.

We think you'll enjoy working at Mozn. Here's why:

• You will be at the forefront of an exciting time for the Middle East, joining a high-growth rocket-ship in an exciting space.
• You will be given a lot of responsibility and trust. We believe that the best results come when the people responsible for a function are given the freedom to do what they think is best.
• The fundamentals will be taken care of: competitive compensation, top-tier health insurance, and an enabling culture so that you can focus on what you do best.
• You will enjoy a fun and dynamic workplace working alongside some of the greatest minds in AI.
• We believe strength lies in difference, embracing all for who they are and empowering them to be the best version of themselves.