Data Analyst in Machine Learning

About Hello Heart: Hello Heart is the sole digital therapeutics firm concentrated solely on heart disease, the main cause of death for adults in the U.S. Through a linked device and mobile application that utilizes AI, behavioral science, and personalized digital coaching to encourage lifestyle modifications, Hello Heart equips people to adopt healthier habits, which can lower the risks of high blood pressure and heart disease. It also aids users in detecting exceptionally high blood pressure readings and inspires them to converse with their physician to recognize potential risk in a timely manner. Verified in peer-reviewed studies and trusted by leading Fortune 500 companies, Hello Heart is user-friendly and works in conjunction with an employer’s benefits ecosystem. Established in 2013, Hello Heart is affiliated with the American Heart Association’s Innovators’ Network and is a part of the CVS Health Point Solutions Management program. Hello Heart garners support from leading VCs including Stripes, Khosla Ventures, IVP, Blue Run and Resolute. Visit www.helloheart.com for further information. Hello Heart is in pursuit of a skilled and motivated Machine Learning Data Analyst to become a part of our Users Data Science team. As a Machine Learning Data Analyst, you will be tasked with performing comprehensive analysis of our data science products, from research to production. Your work will have a direct impact on enhancing healthcare practices and boosting individual well-being. Your responsibilities: - Implement statistical analysis techniques, data mining algorithms, and visualization methods to extract significant patterns and trends from complex datasets. - Monitor & analyze our models' performance in production, generate insights and research leads for model enhancements and novel data-driven solutions. - Conduct AB tests, analyze the influence of models on users' behavior, considering cause/effect, treatment/prevention relationships. - Work closely with cross-functional teams, including data scientists, data engineers, product managers, and healthcare professionals, to convert research findings into impactful digital solutions. - Remain informed about the latest research papers, advancements, and best practices in the field of healthcare analytics. Your Skills: - At least 2 years of hands-on experience. - Bachelor's degree in statistics, computer science, engineering or another related field. - Solid analytical and critical thinking skills, with the ability to interpret intricate data and generate meaningful insights. - Proficiency in statistical analysis tools (e.g., R, or Python with libraries like Pandas, NumPy, and SciPy) and data visualization techniques. - Solid knowledge and experience with SQL. - Familiarity with research methodologies, experimental design, and statistical modeling techniques (Bayesian methods, propensity score matching, etc.) - Experience in analyzing/testing the performance of ML models in production. - Advantage for candidate with experience in recommendation systems, user behavior segmentation, conducting AB tests for ML models in production, modeling the causal effects of treatment interventions. Hello Heart boasts a positive, diverse, and supportive culture - we are in search of individuals who are collaborative, creative, and courageous. Moreover, if you wish to see some recent evidence of the fun things we do at Hello Heart, feel free to visit our Instagram page.