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    Machine Learning Engineer/Data Scientist (f/m/x)

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    HelloBetter is looking for a (Senior) Data Scientist / (Senior) Machine Learning Engineer to join their team. They are a pioneer in the field of digital healthcare, developing evidence-based applications for the prevention and treatment of mental health conditions. The Data Science team aims to develop predictive models that enhance the delivery of personalized therapeutic content. The ideal candidate will have a university degree in a STEM-related field, minimum 3+ years of relevant work experience, programming skills in Python and SQL, and experience with machine learning libraries. Nice to have qualifications include experience with biostatistical or psychometric data, familiarity with mental health concepts and research, and experience with Neural Networks and LLMs. HelloBetter offers meaningful work, opportunities for growth, a remote-first culture, and a diverse and inclusive work environment.


    • Collaborate with a cross-functional team to create an innovative machine learning system that adapts to patients' needs
    • Apply statistical and exploratory data analysis techniques to gain insight on patient behavior and risk factors
    • Build and deploy machine learning models and data applications with your team
    • Fine-tune and optimize machine learning models and hyperparameters
    • Ensure that models are interpretable, and their predictions can be explained to stakeholders


    • University degree in Data Science, Statistics, Mathematics, Computer Science, Psychology, Economics, or other STEM-related field
    • Minimum 3+ years of relevant work experience
    • Programming skills and experience in Python and SQL
    • Proficiency in data manipulation and analysis tools like pandas and numpy
    • Experience working with machine learning libraries such as scikit-learn
    • 2+ years of experience with CI/CD and machine learning deployments bringing models to production
    • Experience with RestAPIs using Python


    • Meaningful work in the field of digital healthcare
    • Opportunity to work with a cross-functional team
    • Personal growth and development
    • Remote-first culture
    • Flexible working hours
    • Transparent salary bands
    • Additional paid leave days for non-birth parents
    • Attractive VSOP (Virtual Stock Option Plan)
    • Tax-deductible pension plan with above-average employer contribution
    • Free or subsidized fitness memberships
    • Regular team events

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