Senior Data Science / Senior MLE

About the job

Moovit, part of Mobileye (Nasdaq: MBLY), is the creator behind the #1 urban mobility app and is a leading Mobility as a Service (MaaS) solutions provider. Together, Moovit and Mobileye are accelerating the global adoption of autonomous transportation.

Moovit amasses up to six billion anonymous data points a day to add to the world’s largest repository of transit and urban mobility data. For governments, cities, transit agencies, and private companies, Moovit offers AI-powered MaaS solutions covering planning, operations, and optimization with proven value in reducing congestion, growing ridership, and increasing efficiency and asset utilization.

We are looking for a Data Science / Machine Learning Engineer Tech Lead to join the data science group. You’ll have the opportunity to make a significant impact by creating products that are used by millions of users around the world.

Moovit’s Data Science group is responsible for developing and implementing data-driven models, conducting research to evaluate new data science methodologies, and analyzing large datasets to extract actionable insights.

The individual will collaborate with cross-functional teams to ensure actual impact on Moovit’s users and business outcomes.

Responsibilities:

• Software Engineering: Design, develop and implement data pipelines infrastructure, work closely with group members and peers
• Machine Learning: Design, Research, analyze, develop, and implement predictive models, in addition to MLOps infra for various of machine learning techniques to address complex business problems.
• Data Science Group focal point for aspects of code review, code quality, unit testing, E2E testing, ML models monitoring, maintainability and scalability
• Collaboration: Work closely with cross-functional teams including Devops, Back End, and Mobile teams to define project goals and deliver data-science projects into production.
• Stay updated with the latest research and advancements in MLOps, machine learning and AI.
• Reporting: Create clear, concise, and actionable reports to communicate insights to stakeholders.

Requirements:

• 5+ years of professional experience in Backend/ML Engineering in a tech company that involves working with researchers.
• 5+ years of professional experience in Data Science – research, data analysis and implementation of predictive models
• Experience with Machine Learning: Proven track record in productization of ML models
• Proficiency in Python: Strong coding skills with a focus on writing efficient and scalable ML code
• Production Experience: Demonstrated ability to deploy ML models in production, ensuring reliability, scalability, and real-time processing
• Technologies: In particular AWS, Airflow and Software container technology – Docker, Kubernetes
• B.Sc/M.Sc in a scientific field – Computer Science, Software Engineering, Data Science
• Initiator and Promoter: Self-starter who actively proposes new ideas and promotes innovative solutions
• Learner: Passion for continuous learning, staying updated on the latest SW and ML trends, tools, and research
• Flexible Mindset: Adaptability in approaching problems and adjusting models or strategies as needed