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Data Scientist Specialist

3 weeks ago

Toronto, Ontario, Canada Klick Health Full time
Company Overview:
Klick Health works with clients to enhance patient outcomes in healthcare by providing innovative digital guidance. The company is headquartered in Toronto and comprises experts from various disciplines, including business strategy, behavioral science, and AI/ML.

The Role:
The ideal candidate will have a strong understanding of probability, statistics, and machine learning, as well as experience working in a client-facing role. They will collaborate with cross-functional teams to define business problems, determine the right data and methods, build and execute analyses, and present results to stakeholders.

Responsibilities:
* Work effectively with other data scientists, strategists, and senior leaders on all phases of work, from pitching new business to delivering results.
* Brainstorm new ideas, design experiments, collect and explore data, visualize and communicate findings, and translate technical results into business contexts.
* Write and document analysis scripts in Python and SQL, collaborating through git and GitHub.
* Extract insights from data using methods such as natural language processing, segmentation and clustering, geospatial analysis, hierarchical Bayesian modeling, Markov chain Monte Carlo, decision trees, and deep neural networks.
* Help guide the structure and objectives of data science projects, balancing business goals with technical and data constraints.
* Present results to the team, organization, and clients.
* Contribute to continual growth and evolution of Klick Health's data science practice through knowledge sharing and service development.

Requirements:
* Undergraduate degree in statistics, mathematics, bioinformatics, physical sciences, or related quantitative field.
* Solid understanding of statistics and experimental design.
* Familiarity with industry-standard languages and tools for data analysis, preferably the Python ecosystem (numpy, pandas, matplotlib, scikit-learn) and SQL.
* Familiarity with git and the command line.
* Strong written and verbal communication skills, with the ability to convert technical results into data stories.
* Ability to work independently on smaller projects as well as collaborate with data scientists, engineers, developers, consultants, and strategists on larger projects.