Data Scientist
vor 1 Monat
**Ready for a challenge?**:
Whether it’s a Friday-night feast, a post-gym poke bowl, or grabbing some groceries, our tech platform connects tens of millions of customers with hundreds of thousands of restaurant, grocery and convenience partners across the globe.
**About this role**:
As a Data Scientist you will dive deep into data to uncover meaningful insights and deliver data-driven recommendations to product owners and business stakeholders. You will play a key role in turning raw data into actionable insights, ensuring they are communicated effectively through both verbal and visual presentations to a wide range of audiences.
You will be responsible for building machine learning models and collaborating with Machine Learning Engineers to deploy, maintain, and refine them, ensuring they deliver fast, accurate, and scalable predictions.You will align closely with Developers and Operations Research Scientists, enabling them to leverage predictive insights to drive greater impact across the organisation.
Collaboration is at the heart of this role.In partnership with product owners, Data Engineers, Business Analysts, and other key stakeholders, you will also help define and implement success metrics that align with business objectives, ensuring the results are measurable and actionable.
**These are some of the key ingredients to the role**:
- Critically analyse data approaches, assumptions, and solutions to improve processes and outcomes.
- Preference for simple, effective solutions, particularly in technical model development and deployment.
- Data hypothesis testing skills, with a solution-focused mindset.
- Work with real-time data integration and machine learning frameworks.
- Work closely with cross-functional teams in agile environments.
- Communicate statistical and machine learning concepts to technical audiences.
**What will you bring to the table?**:
- Proficiency in data science and machine learning methodologies, with experience in building models and getting them to production.
- Experience with python (scikit-learn, pandas, seaborn, etc.) in notebooks and pure Python code for production, and strong proficiency in SQL.
- Experience working with Docker containers for reproducible data science workflows.
- Basic understanding of mathematical optimization is beneficial
- Experience with real time inference and stream processing is advantageous
**At JET, this is on the menu**:
Our teams forge connections internally and work with some of the best-known brands on the planet, giving us truly international impact in a dynamic environment.
Fun, fast-paced and supportive, the JET culture is about movement, growth and about celebrating every aspect of our JETers. Thanks to them we stay one step ahead of the competition.
**Inclusion, Diversity & Belonging**
**What else are we delivering?**:
Want to know more about our JETers, culture or company? Have a look at our career site where you can find people's stories, blogs, podcasts and more JET morsels.
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