Data Scientist

Klick Consulting works alongside clients and their businesses to improve patient outcomes in healthcare by providing innovation and digital guidance to global clients operating across health, including pharmaceuticals, medical devices and biotech. Headquartered in Toronto, the team is made up of experts in a variety of disciplines, from business strategy to behavioral science to AI/ML.

It’s an exciting time to join Klick Consulting. Health organizations are facing an increasingly complex business landscape that’s changing at an accelerated pace. New technologies are emerging rapidly, government regulations are shifting, the face of competition is changing, and the workforce is more dynamic and empowered than ever. Klick Consulting prides itself on helping clients navigate their problems by taking them from strategy to solution, often testing our results in the market.

The Klick Consulting team (https://consulting.klick.com) is seeking a Data Scientist with strong analysis and communication skills to join our growing team.

The Team:

The Klick Data Science team supports our clients on multiple fronts, such as:

- Commercial and marketing analytics and optimization

- Healthcare utilization and clinical outcomes analysis

- Novel AI/ML applications in digital health

- Creating and maintaining data products and repositories

The Role:

The ideal candidate will have a solid theoretical foundation in probability, statistics, and machine learning, as well as demonstrated experience and interest in a client-facing role. They will work with cross-functional teams to define business problems, determine the right data and methods for the job, build and execute analyses, and present results to cross-functional 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 Consulting'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

Assets:

• 2+ years of professional experience in analytics or data science
• Experience in analyzing medical claims and EHR data
• Experience with BI or visualization tools, Tableau or Google Data Studio preferred
• Familiarity with cloud platforms - AWS, Google Cloud, or Azure
• Graduate degree in statistics, mathematics, bioinformatics, physical sciences, or related quantitative field




We welcome examples of prior work in data mining, visualization, and/or using data to inform decisions and impact business. Please feel free to share GitHub repositories, Kaggle profiles, or any other examples of work you're proud of.

#LI-MK1, #LI-Hybrid

Klick is consciously creating a culture where everyone can thrive and grow in their careers. We believe that our best work comes from our diverse backgrounds, perspectives, and skills. We strongly encourage members of historically underrepresented communities to apply, including Black people, Indigenous peoples, and other people of colour, people with disabilities, people from gender and sexually diverse communities and people with intersectional identities.

We’re also committed to developing an inclusive, barrier-free recruitment process and work environment. Should you require any accommodation, please contact us at [email protected] and we will work with you to meet your accessibility needs and ensure you have a positive experience.