Data Scientist Lead - Snapp Box

Are you ready to lead the charge in revolutionizing logistics with your data prowess? We're on the hunt for a Data Scientist Lead to join our dynamic team and steer our company towards data-driven success! If you've got the skills to turn numbers into insights and algorithms into actions, then we want to hear from you. Don't miss out on this opportunity to reshape the future of logistics - apply now and let's make magic together!

Job description

• Managing data science units and products.
• Contributing in 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.
• Maintain, improve and enhance developed services
• Communicate 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.

Job requirements

• Proven experience in Data Science or AI engineering.
• Excellent understanding of machine learning, 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, postgres, apache spark or redis).
• Pursuing a degree, a BA/MS in Software Engineering, Computer Science, Mathematics, Statistics, or equivalent experience is preferable
• Excellent working knowledge with machine learning libraries (e.g. PyTorch, Tensorflow, scikit-learn)
• Having 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