Data Scientist

3 weeks ago

Old Toronto, Canada Knowtions Research Inc. oa Lydia AI Full time

Lydia AI (formerly Knowtions Research) is an applied AI company on a mission to insure the next billion people. We work with insurers to pioneer digital Pay-How-You-Live insurance products using Lydia AI, our risk prediction engine. Lydia AI leverages new sources of data to make dynamic health predictions to create insurance products focused on keeping people healthy rather than paying when people get sick. We are a Canadian company targeting the fastest growing insurance markets in Asia and are backed by investors including Information Venture Partners and Alibaba Entrepreneur Fund.

Join us to help insure the next billion people

Who we’re looking for

You are an individual with outstanding analytical abilities, firm understanding of machine learning and creativity to take new approaches in the way they solve problems. Our new Data Scientist will focus on maximizing the usability of large healthcare datasets presented in different languages, formats and recorded variables to train machine learning models.

This is an opportunity to use advanced quantitative and statistical analysis techniques to solve some of the most complex challenges facing machine learning adoption in the global healthcare sector

As a Data Scientist, you will:

- Develop data collection plans and ensure integrity of data collected through all stages of acquisition and processing (e.g. ground truth generation, normalization, and transformation).
- Quantitatively test hypotheses about data used to create models that increase the performance of predictive models.
- Combine expert knowledge of statistical methodology and analysis with advanced programming skills to perform exploratory data analysis to uncover patterns in user’s health and activities.
- Train ML models on structured, unstructured and time series data coming from electronic health record (EHR) systems, insurance claims, and wearable devices.
- Contribute to data quality control, model validation and model explainability investigation.

Qualifications

- Graduate degree (MS or equivalent) or higher in a quantitative field such as Mathematics, Statistics, Biostatistics, Computational biology or Medical Sciences.
- Experience with databases (SQL and/or NoSQL).
- Programming experience in Python; knowledge of standard data analysis tools (for example Pandas, Numpy, and Polars); programming experience in Typescript/Javascript or experience with other analytics software (R, SAS, STATA, MATLAB, Mathematica) is a plus.
- Familiarity with machine learning frameworks and libraries
- General knowledge of building AI/GenAI systems
- Familiarity with data structures, data modeling, and software architecture
- Creative in finding new solutions as well as designing innovative methods, systems, and processes.
- Broad understanding of health data or actuarial science is an asset.
- Ability to conduct independent research.
- Good interpersonal and communication skills.

Job Type:

- Permanent Full-time (40 hrs. per week)

At Lydia AI, diversity is mission critical. Our strength lies within our differences and in a diverse workforce that unleashes new ideas and perspectives. We celebrate diversity, equity, and inclusion in our workforce and foster a culture where all team members feel valued, respected, and supported.

Job Type: Full-time

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