- Job location:Riyadh and Jeddah KSA
- Project scope:Develop Machine Learning Models leveraging Client data
- Experience: 4years as a Data Scientist with hands on experience in building Machine Learning models
- Language:English proficiency. Arabic is an advantage
Job Summary:
The Data Scientist will develop and validate predictive models using machine learning techniques. The role involves working with crossfunctional teams to develop select use cases.
The roles and responsibilities of the Data Scientistare as follows:
- Develop and assist in implementation of predictive models using machine learning techniques for various business needs such as proactive retention finding hidden affluent customers customer segmentation and identifying target segments for below the line marketing campaigns
- Lead endtoend data science project from data collection cleaning preprocessing exploratory data analysis feature engineering model development and validation
- Manage endtoend data science projects including problem definition
- Collaborate with Client internal stakeholders to define project scope deliverables and timelines
- Work closely with Data Engineering teams to establish data pipelines and infrastructure for efficient model development and deployment
- Communicate insights and recommendations to nontechnical stakeholders through visualizations presentations and reports
- Actively and efficiently liaison with Mastercard Teams;
- Monitoring and ongoing analysis of progress:
- Provide comprehensive model documentation at the end of the project and plan project handover initiatives
The Data Scientistwill fulfill the following requirements:
- Over 4 years of hands on Data Science experience with a strong focus on predictive modeling and machine learning in a financial services or related industry
- Proven experience in managing endtoend data science projects from concept to deployment and maintenance. Should be capable of executing tasks independently once the scope is defined
- Strong stakeholder management skills
- Strong problemsolving skills with a focus on datadriven decisionmaking
- Ability to analyze large datasets identify trends and generate actionable insights
- Excellent verbal and written communication skills with the ability to explain complex data science concepts to nontechnical stakeholders
- Ability to work collaboratively in a team environment and influence stakeholders across various functions
- Masters or PhD in Data Science Statistics Mathematics Computer Science or a related field
- Proficiency in SAS SAS EM and Python
Remote Work :
No