Canada onlyJob DetailsEmployment type: freelanceHours per week: ad hoc
Job DescriptionThe ideal candidate will have some research experience with either an advanced degree or work experience outside a pure academic context. 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:
- Find innovative ways of balancing business goals with statistical, technical, and data constraints
- 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
- Present results to the team, organization, and clients
- Comfort with and enthusiasm for integrating AI into your work
Requirements:
- Undergraduate degree in statistics, mathematics, bioinformatics, physical sciences, or related quantitative field
- Solid understanding of statistics and experimental design
- Demonstrated experience in working with data, including understanding of bias, error, confusion, power, and significance
- Familiarity with industry-standard languages and tools for data analysis, preferably the Python ecosystem (numpy, pandas, matplotlib, scikit-learn) and SQL
- Working 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
- Demonstrated aptitude for continual learning and growth
Assets:
- 2+ years of professional experience in analytics or data science
- Experience in analyzing medical claims and EHR data
- Familiarity with Microsoft Azure, AWS or Google Cloud Platform
- Graduate degree in statistics, mathematics, bioinformatics, physical sciences, or related quantitative field
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.
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