Senior Data Scientist
Volt Lines
İstanbul, İstanbul, Turkey
son 4 gün

Volt Lines : Digital Transformation of Employee Transport

Did you know that Istanbul is the 6th most congested city in the world with people spending on average 59% more time in traffic than they're supposed to?

At Volt Lines, we believe empty seats in traffic (or the inefficient use of vehicles) is the biggest cause of congestion.

For example, there are 50,000 buses in Istanbul that operate at 9% utilization.

We're here to change that.

Volt Lines is a subscription-based transportation network with a mission to solve urban mobility problems with technology.

Today, we offer a superior value proposition to companies in Istanbul that help improve the lives of thousands of people.

At Volt Lines, we are tripling in size over the next 2 months to 10x the business over the next year. One of the key teammates we are searching for is the Senior Data Scientist.

Responsibilities of the role :

  • Builds statistical, optimization and machine learning models for applications including pricing, routing, automated recommendations, growth strategies and user behavior modeling
  • Leverages data to understand product performance and to identify improvement opportunities
  • Presents findings to management for data driven decisions
  • Collaborates with cross-functional teams such as product, engineering, operations and sales in order to drive system development end-to-end from idea to production
  • Provides mentorship to junior data scientists and works with data engineering team to design ETL pipelines to power his / her experiments, models and analyses
  • Requirements :

  • Fluent in English
  • B.A., B.S., M.S., Ph.D. degree in Statistics, Mathematics, Economics, Computer Science, Physics or other quantitative field
  • Being comfortable with research methodologies to address abstract business and product problems with accurate precision
  • Demonstrable proficiency writing clean and concise code in Python, R or Scala to work efficiently at scale with large data sets (including exploratory data analysis, statistical analysis, and machine learning model development) in a production environment
  • Familiarity with common (clustering, classification, regression, etc.) and advanced (reinforcement learning) machine learning methods (Experience in training and deploying models in production is a plus)
  • Being a great collaborator to product managers and executives, who are hungry for this position's output
  • Positive attitude with a "can do" approach
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