Data Scientist (SWE II) - R&D
Data Scientist (SWE II) - R&D
Job Summary:
We are seeking a highly skilled Data Scientist to join our Central Analytics Planning team, driving positive growth across the supply and demand aspects of the business. As a Data Scientist, you will be responsible for building, deploying, and monitoring predictive and machine learning models that leverage SWVL data to improve our customers and captains experience and solve SWVL core AI business problems.
Key Responsibilities:
Build, deploy, and monitor predictive and machine learning models that leverage SWVL data to improve our customers and captains experience and solve SWVL core AI business problems.
Collaborate with business and technical stakeholders through the end-to-end data science process, starting from understanding business problems, different data sources, and setting KPIs, to collecting, cleaning, and analyzing data till model deployment.
Collaborate with Engineers to transform POC to production level while ensuring models scalability, observability, robustness, and accuracy.
Requirements:
Bachelor or Master's degree in CS, CE, ML or 2+ years of industrial experience in machine learning.
Experience applying methods from supervised and unsupervised machine learning to real-world problems.
Solid understanding of industrial mathematics and statistics.
Solid understanding of best practices in feature extraction, dimensionality reduction, model validation, and classification.
Hands on experience with SQL, Docker, Git, AWS EC2, S3, and Some ML/DL frameworks such as Tensorflow, Keras, Pytorch, XGBoost, Scikit-learn, Statsmodels, PyMC3.
Proven track record of successful production machine learning models.
Experience with machine learning lifecycle platforms (i.e. mlflow) is a plus.
Knowledge of distributed storage and processing of big data is a plus (Hadoop, Spark, etc.).
Experience in AI system design is a plus.
Experience in Reinforcement learning is a plus.
What We Offer:
Competitive salary
Immediate openings available
Remote work opportunity
How to Apply:
If you are a motivated individual ready to contribute to a thriving team, we encourage you to apply now! We are excited to review your application.
Apply Now
Apply Now