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Lynn Rodens

Data Scientist

Lynn Rodens
Canada · Full-time · Entry
Do you dream of using technology to help people live healthier, more active lives? Are you passionate about the power of AI to personalize wellness journeys? Do you thrive in a fast-paced environment where you can make a real difference? If so, we want to hear from you

Description

  • Extract insights and build predictive models: Use AI tools to design, build, and deploy predictive models and extract insights from E-textiles, wearables, and wellness apps user data to provide personalized recommendations and track progress.
  • Conduct data analysis and exploration: Perform exploratory data analysis (EDA) to uncover patterns, trends, and insights that inform product development and improve user experience.
  • Build data pipelines: Design and implement robust data pipelines to collect, process, and store data from various sources, ensuring data quality and integrity.
  • Collaborate with the development team: Contribute to our agile development process, fostering a collaborative and supportive team environment.
  • Stay ahead of the curve: Research and experiment with new AI/ML techniques, including agentic workflowsI, to enhance our platform's capabilities and stay at the forefront of innovation.
  • Communicate effectively: Clearly and concisely communicate your findings and insights to both technical and non-technical stakeholders.
  • Contribute to a positive work environment: Be a collaborative and supportive member of our team, fostering a culture of learning and innovation.

What You'll Bring

  • 3+ years of experience as a Data Scientist, with a proven track record of developing and deploying machine learning models.
  • Contribute to our agile development process, fostering a collaborative and supportive team environment.
  • A passion for using data to solve real-world problems in the healthcare domain.
  • Strong programming skills in Python or R, including experience with relevant libraries (e.g., pandas, NumPy, scikit-learn, TensorFlow, PyTorch).
  • Solid understanding of statistical modeling, machine learning algorithms, and data mining techniques.
  • Experience with data visualization tools and techniques.
  • Familiarity with cloud platforms (AWS, Azure, GCP) and big data technologies (Hadoop, Spark) is a plus.
  • Excellent communication and collaboration skills.

Bonus Points For

  • Familiarity with healthcare data standards and regulations (e.g., HIPAA).
  • Experience working with wearable technology or health-related data.

Key Skills

Ranked by relevance

machine learning data analysis ai data visualization data mining tensorflow ai tools big data python pandas hadoop cloud numpy spark aws gcp
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Country Guide

Canada

Express Entry & tech-friendly immigration

Posted
Dec 31, 2024
Type
Full-time
Level
Entry
Location
Vancouver
Company
Lynn Rodens

Industries

Information Services

Categories

Engineering Information Technology

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