ML Engineer / Data Scientist

We are looking for a Machine Learning Engineer / Data Scientist that will help us build the intelligence behind our systems. You will apply the latest machine learning algorithms to improve the lives of people and to help doctors in their diagnoses. In this role, you will have a strong impact on the company’s success.

About the Role:

• You will be part of our engineering team consisting of machine learning, backend, Android, and iOS engineers.
• You will have the chance to work on top of the biggest diabetes database in the world, with over 3 billion data points. 
• You will play a role in every part of our machine learning lifecycle: from the initial research to the production-level implementation, from discussing long-term goals, to making post-release micro-improvements.
• You will navigate yourself quickly through the sea of machine learning literature, keeping our concrete goals as a compass. You will decide the best model for every problem and will be keen to implement that in practice (Python). You are able to explain your choices at any level of detail, from discussing the activation function of your neural network convolutional layer to the most accessible explanation of your goals and results.
• You will take ownership of core projects of our company and we can rely on you to drive them forward proactively.

Qualifications:

• You have an exploratory mindset with a bias towards action.
• You have a strong analytical and quantitative background.
• You have experience with researching, data science modeling, or engineering in the aforementioned domains.
• You have experience with machine learning, classification, regression, categorical and numeric.
• You have experience with time series analysis.
• You have experience with neural networks (different models and different applications).
• You can take a project from idea to experiment, to prototype, to implementation.
• You have experience with the technical tools for analysis, especially in Python
• You have experience with SQL.

About Glooko:

There are over 537 million people in the world with diabetes. 

Glooko, a connected care platform for diabetes, helps patients and their care team more efficiently manage their condition between appointments. The digital health platform seamlessly unifies data from many of the leading diabetes and health monitoring devices to deliver insights that improve personal and clinical decision support. The free Glooko® Mobile and Web App enables patients to easily track and proactively manage all aspects of their diabetes care. 

At Glooko, our proven technologies for diabetes and related chronic conditions make lives better by revolutionizing the connection between patients and providers, driving patient engagement and adherence via digital therapeutics, and accelerating the speed of clinical trials. 

Launched in 2010, Glooko is funded and managed by visionary technologists and leaders in healthcare. Glooko is globally deployed in over 30 countries and 8,000+ clinical locations.