Data Scientist

We are seeking a highly skilled Data Scientist to play a pivotal role in shaping and optimizing our products, user experiences, and marketing strategies. Reporting into the Director of Data, the successful candidate will leverage their expertise in A/B testing, predictive analytics, customer segmentation, advanced metrics modelling, and anomaly detection to drive data-driven decision making and create value across the organization. If you have a strong background in data science, hands-on experience in experimentation, and a passion for the healthcare or medtech industry, we’d love to hear from you.

Though we have an office based in Calgary, this is a remote position that is open to candidates across Canada.

In this role, you’ll make an impact by:

– Developing and maintaining an experimentation platform for A/B testing, multivariate testing, and other experimental designs to optimize product features, user experiences, and marketing strategies

– Applying advanced statistical and machine learning techniques to create predictive models for key business metrics, such as customer lifetime value, churn, CAC, and conversion rates

– Designing and implementing customer segmentation strategies using various clustering and classification techniques to better understand and target our diverse customer base

– Solving various optimization problems, such as balancing demand and supply in clinical operations or determining optimal pricing strategies, to drive efficient resource allocation and maximize business outcomes

– Collaborating with cross-functional teams, including product, marketing, and growth, to translate data-driven insights into actionable recommendations and strategies

– Continuously monitoring and refining data models to ensure their accuracy and performance, while identifying opportunities for improvement and optimization

– Presenting findings and insights to both technical and non-technical stakeholders, and effectively communicating the impact of data science initiatives on business outcomes

We need someone who has:

– A Bachelor’s or Master’s degree in a related field (e.g. Computer Science, Data Science, Mathematics, Statistics)

– 2+ years of experience in data science, preferably in the medtech or healthcare industry

– Proven experience with A/B testing, experimental design, and hypothesis testing

– Strong knowledge of statistical and machine learning techniques, including regression, classification, clustering, and time series analysis

– Proficiency in Python, R, or another programming language commonly used in data science

– Knowledge of cloud-based platforms like AWS, Azure, or Google Cloud Platform

– Experience with data visualization tools

– Excellent problem-solving, critical thinking, and communication skills

It would also be great if you have:

– Experience in the medtech industry and with the related performance metrics

– A proactive and results-driven approach, with the ability to take initiative and drive projects forward