Data Scientist at Desjardins, a financial services cooperative, developing advanced analytics, machine learning and AI models. Advising stakeholders and supporting data - driven business decisions.
About the role
- Data Scientist at Just Eat Takeaway.com optimizing driver pay with machine learning and analytics. Collaborating with teams to develop predictive models and incentive programs.
Responsibilities
- Lead efforts in optimizing driver pay.
- Leverage advanced analytics and machine learning techniques to analyze driver performance data.
- Design incentive programs and develop predictive models to maximize earnings.
- Maintain cost-efficiency and ensure timely deliveries.
- Interface with different teams, working under sharp production deadlines.
- Participate in the product development cycle shaping cutting edge solutions.
- Work in an Agile environment, having constant interaction with the team, stand-ups and many peer-reviews.
Requirements
- Demonstrable relevant working experience
- Applied experience with machine learning, data science and solving problems at scale
- Ability to communicate business outcomes and recommendations from analysis verbally and written, ability to present results coherently
- Ability to develop confidently in Python as the majority of our team is using it.
- Confident in extracting and manipulating data from our various SQL and NoSQL data stores and storage frameworks.
- Preferred experience can include : MS degree / PhD degree in a quantitative discipline (eg. Computer Eng., Computer Science, Stats, Physics).
- Undergraduate, if has taken courses related to the field.
- Practical experience on complete modeling lifecycle, from exploratory analysis through deployment, experimentation and monitoring.
- Experience working on a Logistics project
- Experience working with pricing algorithms
- Experience in retail in similar markets to Just-Eat takeaway
- Experience working in agile teams, with code reviews and source control
- Experience with causal inference and multi-objective optimization
- Comfortable with big data stores (Google BigQuery, Amazon Datastores) and tools (including dynamoDB, elasticsearch, S3, SQS, Kinesis) or Spark / Hadoop / Kafka.
Benefits
- Inclusion, Diversity & Belonging
- Professional development opportunities
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