Job Description
Our client Seres D client based in New York is looking for a Machine Learning engineer with practical experience writing production-quality code to join our growing team, working to address the challenge of understanding how differing messaging-based interactions between therapists and patients lead to differing behavioural health outcomes.
You will join a team of data scientists responsible for analyzing all aspects of Talkspace’s data to understand customer engagement, therapist quality of service, and clinical outcomes and develop data-driven product features that aim to continually improve behavioural health outcomes.
Who you are:
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You are comfortable working in a fast-paced startup environment.
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You are passionate about data and can communicate effectively with both data scientists, product managers, other engineers, and clinicians to discuss requirements, design, and expectations.
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You are excited about learning new tools/approaches that aren’t already a part of your toolkit.
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You can work independently and manage a list of priorities.
Skills:
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Master’s degree, preferably in Computer Science, Data Science or an Engineering-related discipline
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2+ years of work experience developing and deploying production-quality code
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Fluent in Python scripting, strong working knowledge of SQL
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Foundational knowledge of commonly used machine learning techniques, such as cluster analysis, classification methods, and linear and nonlinear regression modelling
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Experience developing applications using Natural Language Processing techniques.
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Excellent communication and interpersonal skills
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Experience working with cross-functional teams in a dynamic environment
