Data Scientist | Al-Futtaim Automotive | Customer Centricity

Bachelor of Technology/Engineering (Computers), Bachelor of Science (Computers)

Nationality: Any Nationality

Vacancy: 1 Vacancy

Job Description

Acceleration of automotive division’s strategy of being a data-driven organization and feeding advanced analytics models to CRM, Brand, marketing, and Digital teams.

What you will do:

1. Work independently on all phases of an analytics project, including formulation, research, development, implementation, testing, and maintenance.
2. Design new means of communication of descriptive and predictive modeling results through data visualizations, dashboards, and apps.
3. Utilize a variety of data, analytics software, coding languages, and statistical tools. Deep experience with at least one of Python, PySpark, Scala or R, and SQL (mandatory).
4. Develop, use, and deploy statistical models such as: Generalized linear models, time series models, forecasting techniques, cluster analysis, anomaly detection, descriptive statistical techniques, and statistical diagnostic techniques (e.g., significance testing, model fit, etc.).
5. Create supervised and unsupervised models, including decision trees, KNN models, and neural nets; and standard ML libraries.

Required Skills to be successful:

1. Python Programming.
2. Experience in using Databricks platform.
3. Experience in building supervised and unsupervised machine learning models.
4. 6-8 years of experience or 5-6 years + Master's Degree.

Desired Candidate Profile:

1. BS in Statistics, Computer Science, or other related field.
2. 6-8 years of experience working in the Data Science or Machine Learning Engineering space with hands-on experience in building and deploying advanced analytics models on cloud platforms. Proven skills in various programming and database languages, such as Python, PySpark, SQL. Familiarity with consumer-related data and a general interest in the retail, consumer products manufacturing, automotive, transportation, or hospitality sectors.
3. Experience working on data science projects in a business or academic setting.
4. Demonstrated capability in building accurate predictive and other statistical models.
5. Strong knowledge of statistics.
6. Advanced Python programming.
7. Demonstrated business and strategy acumen.