Data Scientist

This is a fully remote position, open to applicants in Canada, +1 more country.

📋 Description

• Conduct exploratory data analysis, feature engineering, and predictive modeling.

• Analyze, process, and manipulate extensive data sets.

• Create predictive and machine learning models using both structured and unstructured data.

• Identify techniques for continuous and automated statistical testing to enhance model predictability.

• Utilize feature selection algorithms and sampling methods.

• Evaluate models based on statistical performance metrics.

• Generate graphs, charts, and visualizations to effectively communicate analysis findings.

• Present mathematical modeling and data analysis outcomes to stakeholders.

• Recognize business challenges, objectives, relationships, trends, and factors influencing research results.

• Suggest solutions to business issues through data analysis.

• Test, validate, and refine models for precise outcome predictions.

• Develop functions or applications for analytical purposes.

• Collaborate with machine learning engineers for model deployment.

• Outline project phases, estimate timelines, and communicate these to the project manager.

• Provide guidance to project teams on enhancements for predictive and prescriptive models.

• Promote and advocate for best practices in statistical and behavioral modeling.

• Facilitate the collection of new data and the improvement of existing data sources.

• Work alongside engineering and product teams to develop and maintain the internal data platform.

• Mentor and train junior data scientists.

• Clearly communicate analyses, conclusions, and solutions to diverse audiences.

⛳️ Requirements

• Minimum of 3 years of experience working with large data sets in environments such as Hadoop, AWS, Azure, or GCP.

• At least 3 years of experience with statistical and data mining tools and techniques.

• 3 years of experience with supervised models, including regression and neural networks, as well as unsupervised methods like clustering, PCA, and SVMs.

• 3 years of experience working with SQL.

• 3 years of experience in Python and at least one strongly typed programming language, such as C++ or Java.

• 3 years of experience with statistical software packages.

• 3 years of experience delivering predictive and prescriptive analytics in a business context.

• Master’s degree in mathematics, statistics, computer science, or a related field, or equivalent experience.

• Advanced knowledge of data visualization libraries.

• Advanced understanding of statistical methodologies applicable to modeling and business analytics.

🏝️ Benefits

• Annual bonus.

• Incentives.

• Medical benefits.

• Dental benefits.

• Vision benefits.

• Retirement plan.

• Paid time off.

• Health and well-being support for team members and their families.

• Reasonable accommodations for qualified individuals with disabilities.