Contributing to the development of end-to-end data-driven solutions for modeling supply-demand balance, optimal price prediction, product offering, and biker profiling using machine learning, deep learning, statistical learning methodology, applied mathematics, and optimization techniques.
Maintaining, improving, and enhancing developed services
Communicating recommendations to other teams and senior staff
Translating analysis results into business recommendations.
Enhancing data collection procedures to include information that is relevant for building analytic systems.
Requirements:
Proven experience in data science or AI engineering.
Excellent understanding of machine learning, and data analysis techniques and having an excellent programming skill in Python and Scala.
Experience writing ETL, using workflow automation tools (apache airflow, argo cd, or argo WF).
Working experience with automation tools (Kubernetes, Docker, MLflow, RabbitMQ, Kafka, PostgreSQL, Apache Spark, or Redis).
Pursuing a degree, a Bachelor's or Master's degree in Software Engineering, Computer Science, Mathematics, Statistics, or equivalent experience is preferable.
Excellent working knowledge of machine learning libraries (e.g. PyTorch, Tensorflow, etc.).
Strong analytical skills and mathematical intuition.
Proficiency in using query languages such as SQL.
Knowledge of data generation and analysis tools.
Ability to work under pressure to tight deadlines.
Excellent communication and presentation skills.
Commitment to learning.
Having an interest in data.
Have a strong sense of ownership.
Independent, self-starter with a passion for hunting.
Positive and proactive, can-and-will-do, team player attitude.