Technical Lead governing AI data readiness and API gateways at Coupa, whose platform helps businesses optimize total spend. Defining safeguards for GenAI applications, data quality, compliance, and observability.
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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