Freelance Data Scientist

Klick; Toronto; Remote; CAD 150,000 - 200,000; Part time

Job summary

A leading company in digital health is seeking a freelance Data Scientist to work on innovative analytics and AI applications. The ideal candidate will collaborate with cross-functional teams to tackle business problems and present insights derived from data using advanced methods. This role requires a strong background in statistics and experience in the Python ecosystem.

Benefits

Inclusive work culture

Opportunities for growth and learning

Barrier-free recruitment process

Qualifications

• 2+ years of professional experience in analytics or data science preferred.
• Solid understanding of statistics and experimental design is crucial.
• Demonstrated experience with data analysis, comfortable with AI integration.

Responsibilities

• Balance business goals with statistical and technical constraints.
• Design experiments, collect data, and visualize findings.
• Present results effectively to various stakeholders.

Skills

Data analysis

Statistical understanding

Python

SQL

Communication

Education

Undergraduate degree in statistics, mathematics, bioinformatics, or related field

Tools

Python ecosystem (numpy, pandas, matplotlib, scikit-learn)

SQL

Git

Job description

The Team

The KlickConsultingData Science team supports our clients on multiple fronts,including: 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.

To learn more about the team, visit https://consulting.klick.com

Job Details

Employment type: freelance

Hours per week: ad hoc

Job Description

The 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

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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 [e-mail] and we will work with you to meet your accessibility needs and ensure you have a positive experience.