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Data Analyst/Scientist At Blue Mesa Health

Location: Vancouver, British Columbia

Job Description

Blue Mesa Health is on a mission to deliver world-class digital health solutions that empower individuals to live chronic disease-free. We are a global, culturally diverse company with aspirations to prevent 100 million cases of chronic disease in the next decade. Our flagship product, Transform, is an evidence-based diabetes prevention program delivered via a combination of software, connected hardware, and professional health coaching.

Who are we looking for?

You are passionate about preventive health and you have a desire to make a positive impact on the world.

You feel energized when you directly or indirectly help others modify lifestyle behaviors, prevent disease, promote health, and create long-term behavior change.
You are ready to join a funded, early-stage startup and work with people who are building amazing health technology and sharing it with the world.
You are excited to work with a great team of health science, design, business and engineering professionals who challenge and inspire you every day to make great decisions and build high-quality, scalable, well-designed software.

You are excited to be part of a fast-moving, intellectually curious, growing digital health venture.

Our product team supports the human relationship between program participants and their dedicated health coach.
Projects include:

A multi-platform smartphone app designed to drive behavior change through education, rich communication, and habit trigger push notifications
Backend data integration and analysis of activity tracker and weight scale data for outcome focused decision making
Rapid iteration towards human-computer hybrid communication with both clear information design and also applications of machine learning.

About you:

We are looking for a Data Scientist that will help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products.

Requirements

  • Selecting features, building and optimizing classifiers using machine learning techniques
  • Enhancing data collection procedures to include information that is relevant for building analytic systems
  • Processing, cleansing, and verifying the integrity of data used for analysis
  • Doing ad-hoc analysis and presenting results in a clear manner
  • Creating automated anomaly detection systems and constant tracking of its performance
  • Collaborating with product management and engineering departments to understand company needs and devise possible solutions
  • Keeping up-to-date with latest technology trends
  • Communicating results and ideas to key decision makers

Qualifications

  • Great communication skills
  • Experience with data visualisation tools, such as D3.js, GGplot, etc.
  • Proficiency in using query languages such as SQL
  • Experience with common data science toolkits
  • Good applied statistics skills, such as distributions, statistical testing, regression, etc.

Preferred Qualifications

  • Extensive background in data mining and statistical analysis
  • Able to understand various data structures and common methods in data transformation
  • Excellent pattern recognition and predictive modeling skills
We are a small team using a Javascript everywhere stack (Express.js on Node.js for RESTful backend, GraphQL, Angular web app, Ionic mobile app) for maximum efficiency and collaboration. The next hires will be a major part of defining our technical culture.