Data Scientist | Remote

Crossing Hurdles; Canada; On-site; CAD 60,000 - 80,000; Full time

Job summary

Crossing Hurdles in Canada is seeking an experienced data analyst. The candidate will be responsible for collecting and preprocessing data, developing statistical models, and visualizing findings for diverse stakeholders.

The ideal applicant possesses expertise in Python or R, and tools like Tableau or Power BI. Strong experience in statistics and data handling is essential for this role.

Qualifications

• Strong experience in statistics and data analysis techniques.
• Proven skills in handling and cleaning large, complex data sets.
• Proficiency in programming languages for data manipulation.

Responsibilities

• Collect, clean, and preprocess data sets for analysis.
• Develop and implement statistical models for insights.
• Conduct exploratory analysis to identify trends.

Skills

Data analysis techniques

Statistical modeling

Data visualization

Python

R

Tools

Tableau

Power BI

Job description

Responsibilities

• Collect, clean, and preprocess diverse data sets to ensure integrity and readiness for analysis.
• Develop, validate, and implement statistical models to extract actionable insights from complex data.
• Conduct exploratory data analysis to identify trends, patterns, and opportunities for business improvement.
• Present findings and recommendations through compelling data visualizations and reports, tailored for technical and non-technical stakeholders.
• Collaborate closely with team members to design and execute end-to-end data projects, from ideation to delivery.
• Continuously improve analytical methodologies and automation processes to enhance data workflows.

Requirements

• Have strong relevant experience in statistics, mathematics, and data analysis techniques.
• Have proven experience in collecting, handling, and cleaning large, complex data sets.
• Be proficient in programming languages such as Python, R, or similar for data manipulation and modeling.
• Possess strong data modeling skills with experience in building and validating predictive models.
• Have advanced ability to visualize data using tools like Tableau, Power BI, or related libraries.