Data Scientist - Hybrid-model

Boost IT is made up of people who are motivated to improve the world and who are passionate about technology. Our vision focuses on the skill to bring people together around complex problem solving for our clients, creating sophisticated solutions.

People are our most important asset and the reason for our business. We are proud of our strong culture, that challenges the status quo and always searches for the best solution for our clients.We believe technology can lead to a positive change in society, connect and inspire and, ultimately, lead to a better future.

BOOST IT. DOING IT. BETTER

Tasks

• Understand business problems and apply your expertise within predictive modelling and machine learning to design, implement, monitor and iteratively improve on our suite of predictive products.
• Have a continuousfocus on providing business value, while ensuring technical sustainability (includingmaintainability, reliability, performance, availabilityand interpretability).
• Collaborate with other data and decision scientists as well as data engineering and software experts in the team to define the requirements for the data products supporting our prescriptive models, and to productionize your models into reliable and scalable software running on the cloud.
• Work with relevant stakeholders to find the right solutions to the right problemsat the right time.
• Promote and drive adoption of cutting-edge data sciencepractices within theteam.

Requirements

• Background in mathematical modeling, statistics, operations research or in a similar technical field at MSc or PhD level.
• Collaborative by nature, care about others and area general force for good.
• Motivated by working on hard problems and ensuring the models you work on deliver accurate predictions and provide maximum value for our consumers.
• Solve problems end-to-end, considering what kind of analytics is required to solve it and if the business process is even ready for a model or if it needs revision.
• Care about a great engineering culture, have an agile mindset andalearning mentality.
• Experience with Python/Pandas, optionally Pyspark (or similar technologies) and comfortable dealing with complex systems.