Data Scientist

About Hello Heart:

Hello Heart is on a mission to change the way people care for their hearts. The company provides the first app and connected heart monitor to help people track and manage their heart health. With Hello Heart, users take steps to control their risk of heart attacks and stroke – the leading cause of death in the United States. Peer-reviewed studies have shown that high-risk users of Hello Heart have seen meaningful drops in blood pressure, cholesterol and even weight. Recognized as the digital leader in preventive heart health, Hello Heart is trusted by more than 130 leading Fortune 500 and government employers, national health plans, and labor organizations. Founded in 2013, Hello Heart has raised more than $138 million from top venture firms and is a best-in-class solution on the American Heart Association's Innovators' Network and CVS Health Point Solutions Management platform. Visit www.helloheart.com for more information.

About the Role:

Hello Heart is looking for a Data Scientist to join our expanding data group. As part of our Data Science team, you will tackle complex challenges, from research to production. You will develop novel and innovative machine learning models to address one of the world's most significant clinical issues: cardiovascular disease. Your work will directly contribute to improving healthcare practices and enhancing the well-being of individuals.

Responsibilities:

Ownership of Predictive Modeling Projects: Design, implement, train, and monitor machine learning models, ensuring they are production-ready.
Research and Experimentation: Investigate and experiment with machine learning, optimization, and statistical algorithms to solve real-world problems that have a meaningful impact on healthcare.
Collaboration with Product Teams: Translate clinical research findings into actionable digital insights and work closely with product managers and developers to integrate solutions into existing systems.
Code Implementation: Write efficient, maintainable code for algorithms and models, focusing on practical application and performance optimization.
Agile Innovation: Quickly turn ideas into prototypes and solutions in a dynamic, research-oriented environment.

Required Skills:

Machine Learning Experience: 2+ years of hands-on experience in developing and implementing algorithms and machine learning models using Python in production.
Industry Experience: Proven ability to design, write and maintain clean and efficient production code for machine learning algorithms.
SQL Proficiency: Strong knowledge of SQL for data retrieval, manipulation, and analysis is essential.
Data Mining and Statistical Techniques: Expertise in algorithms including clustering, classification, regression, decision trees, neural nets, support vector machines, genetic algorithms, and anomaly detection.
Educational Background: A BSc in a relevant field (Computer Science, Statistics, Applied Math, Neuroscience, Physics, Econometrics) is required; MSc or PhD is an advantage.

Dynamic Team Player: Comfortable working in a fast-paced, collaborative environment with multiple ongoing projects.

Preferred Qualifications:

Experience implementing recommendation systems in production environments.
Knowledge of generative AI and natural language processing (NLP) techniques.
Experience in Deep Learning Frameworks such as PyTorch or TensorFlow.

Hello Heart has a positive, diverse, and supportive culture - we look for people who are collaborative, creative, and courageous. Oh, and if you want to see some recent evidence of the fun things we do at Hello Heart, check out our Instagram page.