Data Scientist Job In Dubai, United Arab Emirates

Role Overview:
We’re looking to enhance our automotive division’s strategy by transforming it into a data-driven organization, leveraging advanced analytics to support our CRM, brand, marketing, and digital teams.

• Key Responsibilities:
• Project Management: Independently manage all phases of analytics projects, including formulation, research, development, implementation, testing, and maintenance.
• Data Visualization: Design innovative communication methods for descriptive and predictive modeling results through dashboards, apps, and visualizations.
• Technical Skills: Proficient in programming and capable of utilizing various data analytics software, coding languages, and statistical tools.
• Deep expertise in at least one of the following: Python, PySpark, Scala, R, and SQL (mandatory).
• Statistical Modeling: Develop, implement, and deploy statistical models, including generalized linear models, time series models, forecasting techniques, cluster analysis, anomaly detection, and descriptive statistical techniques (e.g., significance testing, model fit).
• Machine Learning: Create both supervised and unsupervised models, utilizing decision trees, KNN models, neural networks, and standard machine learning libraries.
• Required Skills for Success:
• Proficient in Python Programming
• Experience with the Databricks Platform
• Expertise in Building Supervised and Unsupervised Machine Learning Models
• 6-8 Years of Relevant Experience or 5-6 Years with a Master’s Degree
  About the Team:
• You will report to the Senior Manager of Advanced Analytics.
• Qualifications for the Role:
• Educational Background: Bachelor’s degree in Statistics, Computer Science, or a related field.
• Experience: 6-8 years in Data Science or Machine Learning Engineering, with hands-on experience in building and deploying advanced analytics models on cloud platforms.
• Technical Skills: Proficiency in various programming and database languages, including Python, PySpark, and SQL. Familiarity with consumer-related data is a plus.
• Industry Interest: General interest in sectors such as retail, consumer products manufacturing, automotive, transportation, or hospitality.
• Project Experience: Previous work on data science projects in business or academic environments.
• Modeling Skills: Proven ability to build accurate predictive and statistical models.
• Statistical Knowledge: Strong understanding of statistical concepts.
• Business Acumen: Demonstrated capability in business strategy and decision-making.