Senior Machine Learning Scientist

December 8, 2024

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mymdoc

mDoc is a health technology company that provides virtual self-care support to individuals managing chronic health conditions. Through innovative solutions such as CompleteHealth™, NaviHealth. ai™, and NudgeHubs™, mDoc empowers users with tailored resources and access to healthcare services. They focus on enhancing the wellness of their members by offering specialized programs for diabetes, hypertension, cancer support, and behavioral health, among others.

mHealth • Telehealth • Data • women • Health

📋 Description

• This is a remote position. • Seeking a Senior Machine Learning Scientist to lead the research and development of AI and machine learning models for mDoc’s health tech platform. • Responsibilities include research & model development, data analysis & feature engineering, model deployment & monitoring, collaboration & leadership, and experimentation & continuous improvement.

🎯 Requirements

• Ph.D. or Master’s degree in Computer Science, Machine Learning, Data Science, or a related field. • 5+ years of experience in machine learning, data science, or AI research and development. • Strong expertise in Python and libraries such as TensorFlow, PyTorch, or Scikit-learn. • Proven track record of developing and deploying machine learning models in production environments. • Deep understanding of algorithms, statistics, and advanced techniques in machine learning and AI. • Experience with NLP, computer vision, or time-series analysis (preferred). • Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for model deployment and scalability (preferred). • Knowledge of healthcare data standards and compliance (e.g., HIPAA, FHIR) (preferred). • Strong communication and presentation skills to share findings with technical and non-technical stakeholders (preferred).

🏖️ Benefits

• Leadership opportunities in shaping AI-driven solutions for a mission-driven organization. • The chance to work on impactful projects that improve healthcare access and outcomes. • A collaborative and innovative environment focused on professional growth. • The ability to apply cutting-edge machine learning techniques to solve real-world problems in healthcare.

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