Ever dreamed of using your number-crunching superpowers to revolutionize the car industry? Well, buckle up because I’ve got some exciting news that might just rev your engines! Ready to shift your career into high gear? Cruise on over to Al-Futtaim’s job portal and throw your hat in the ring. Who knows? This time next year, you could be the data hero behind Dubai’s next big automotive revolution.
Job Description
As part of our continued focus on data-driven innovation, we are looking for talented individuals who are passionate about analytics and eager to make a tangible impact. At the heart of this initiative lies the ability to work independently on all phases of an analytics project—from formulation and research to development, implementation, testing, and maintenance.
But it doesn’t stop there. We’re not just interested in the technical side of things; we’re equally focused on how we communicate insights to drive actionable outcomes. Designing intuitive data visualizations, dashboards, and apps that bring predictive and descriptive models to life is a key part of this role.
Our ideal candidate is not only skilled in Python, PySpark, Scala, R, and SQL, but also has the creativity and vision to turn raw data into compelling narratives. Whether it’s building supervised and unsupervised machine learning models, deploying statistical techniques like generalized linear models, or crafting innovative solutions using decision trees and neural networks, we want someone who thrives on tackling complex challenges head-on
What We’re Looking For?
To thrive in this role, we’re looking for someone with:
Statistical Knowledge: A strong grasp of statistics is crucial, as is the ability to create and interpret various statistical models.
Strong Python programming skills: As a core requirement, you’ll need hands-on experience in Python, one of the most versatile and widely used programming languages in the data science world.
Experience with Databricks: Familiarity with the Databricks platform is essential as it plays a significant role in our analytics ecosystem.
Machine Learning Expertise: You should have experience in building both supervised and unsupervised machine learning models, with a deep understanding of the latest techniques and tools.
Proven Experience: Ideally, you will have 7-8 years of experience in data science or machine learning engineering, or 5-6 years with a master’s degree in a related field.
Important Application Timeframe
If you feel that this position is of interest to you, please consider applying as soon as possible. The application process has officially started although it is best to be an early applicant because this position will be posted until the right candidate is found. Don’t miss your opportunity to take the next step in your data analytics career!
