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Machine Learning Engineer

  • Location

    New York

  • Sector:

    Data Science

  • Contact:

    Jason Rumney

  • Contact email:

    jason@intelletec.com

  • Job ref:

    AAJR3949

  • Duration:

    ASAP

  • Startdate:

    ASAP

  • Consultant:

    Jason Rumney

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:

  • You are comfortable working in a fast-paced startup environment.

  • 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.

  • You are excited about learning new tools/approaches that aren’t already a part of your toolkit.

  • You can work independently and manage a list of priorities.

Skills:

  • Master’s degree, preferably in Computer Science, Data Science or an Engineering-related discipline

  • 2+ years of work experience developing and deploying production-quality code

  • Fluent in Python scripting, strong working knowledge of SQL

  • Foundational knowledge of commonly used machine learning techniques, such as cluster analysis, classification methods, and linear and nonlinear regression modelling

  • Experience developing applications using Natural Language Processing techniques.

  • Excellent communication and interpersonal skills

  • Experience working with cross-functional teams in a dynamic environment

BENEFITS

Monthly team outings, happy hours, in-house family-style lunches, office snacks, unlimited PTO, access to products, ping pong table, and competitive benefits are just some of the benefits on offer