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Job Description
Reward Gateway | Edenred is a leading global digital platform for employee services and payments, connecting 52 million users and 2 million partner merchants across 45 countries through nearly 1 million corporate clients
Due to expansion, an opportunity has become available for a Data Scientist (Machine Learning Engineer) to join our Data Platform team. In this role, you will collaborate closely with other data scientists, data and analytics engineers, and product managers, as well as wider Engineering and Infrastructure groups.
This is a unique opportunity to shape the future of data science at Reward Gateway, driving high-impact projects from concept to deployment. You will have the autonomy to select the most appropriate tools and methodologies, leveraging our existing AWS infrastructure while proposing new solutions to solve complex challenges. The role will also involve close collaboration with DevOps and other engineering teams to ensure seamless deployment and integration of model results across our platform.
Key Responsibilities
- Lead the design, development, and deployment of new models to enhance user engagement across the Reward Gateway platform.
- Work closely with the Head of Data, and Product Managers, to scope new data initiatives and translate business requirements into technical solutions.
- Work with other members of the Data Science team, to design and develop data science methodologies and best practices, fostering a collaborative environment.
- Collaborate with data engineers and analytics engineers to build scalable, robust data pipelines and ensure seamless integration of machine learning models.
- Work with DevOps teams to deploy machine learning solutions efficiently and reliably, ensuring scalability and performance.
- Collaborate with other engineering teams to integrate model results and insights across the Reward Gateway platform, optimising user experience and engagement.
- Stay up to date with industry trends and best practices to recommend new tools and technologies, particularly within AWS services.
Skills
- Proven experience designing and implementing data science solutions, particularly in personalization and recommendation systems.
- Strong knowledge of machine learning, statistical modelling, and data mining techniques.
- Experience working with AWS services such as Redshift, Glue, and Lambda, and familiarity with tools like SageMaker.
- Experience working with DevOps teams to deploy machine learning models and ensure reliability, scalability, and performance in production environments.
- Ability to collaborate with cross-functional teams, including data engineers, DevOps, product managers, and other engineering teams, to drive projects from concept to completion.
- Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders
Salary budget:
- BGN 95,000 to BGN 105,000 GROSS per year.
Work mode:
- We offer a flexible hybrid work mode to attend our Sofia or Plovdiv office twice per week.
The Interview Process
- An online interview with the Senior Talent Partner
- Interview with our Head of Data and Senior Data Scientist
Be comfortable. Be you.
At Reward Gateway, we want all of our employees to feel comfortable bringing their passion, creativity and individuality to work. We value all cultures, backgrounds and experiences, as we truly believe that diversity drives innovation. Express yourself, join our community and help us Make the World a Better Place to Work.
We hire BETTER.
From perks to people, our BETTER approach to hiring earns us more trust, happier people and more world-class talent that help us to make the world a better place to work. Find out more about Reward Gateways approach to benefits, equality, talent, technology, empathy and what you’ll get in return for joining our Mission at rg.co/lifeatrg.
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