Data Scientist

LōD; Vancouver; On-site; CAD 70,000 - 90,000; Full time

Job summary

A technology firm in downtown Vancouver seeks a passionate Data Scientist to join their analytics team. This role involves leveraging expertise in data analysis, machine learning, and statistical modeling to drive data-centric decision-making. Responsibilities include analyzing complex datasets, developing predictive models, and collaborating with product teams. The ideal candidate has a Master's degree and 2+ years of experience. This position offers comprehensive health benefits, paid time off, and opportunities for career growth.

Benefits

Comprehensive health insurance

Paid time off

Convenient office location

Career growth opportunities

Qualifications

• 2+ years of experience in data science, data analysis, or a relevant analytical field.
• Ability to communicate complex data insights to technical and non-technical audiences.
• Solid understanding of machine learning algorithms and statistical modeling techniques.

Responsibilities

• Analyze and interpret complex data sets to identify trends and correlations.
• Develop predictive models using machine learning algorithms.
• Collaborate with product and engineering teams to integrate insights into products.

Skills

Data analysis

Machine learning

Statistical modeling

Programming in Python

Programming in R

Data visualization

Critical thinking

Education

Master's degree in Data Science, Statistics, or Computer Science

Bachelor's degree with relevant experience

Tools

SQL

Tableau

Power BI

Matplotlib

Seaborn

Job description

LOD Technologies Inc. is on the lookout for a passionate Data Scientist to join our growing analytics team. In this role, you will leverage your expertise in data analysis, machine learning, and statistical modeling to derive actionable insights and drive data‑centric decision‑making. You will work closely with product teams to develop models that enhance product features and improve user satisfaction.

Your responsibilities will include analyzing complex datasets, creating predictive models, and communicating your findings to stakeholders. You will have the opportunity to work with cutting‑edge technologies and play a crucial role in shaping our data strategy and analytics framework.

Responsibilities

• Analyze and interpret complex data sets to identify trends, patterns, and correlations
• Develop predictive models and utilize machine learning algorithms to improve product performance
• Collaborate with product and engineering teams to integrate data-driven insights into products
• Present findings and recommendations to stakeholders in a clear, concise manner
• Stay current with industry trends and emerging technologies in data science and artificial intelligence
• Create and maintain documentation of your methodologies, processes, and key learnings

Qualifications

• Master's degree in Data Science, Statistics, Computer Science, or a related field; Bachelor's degree with relevant experience may also be considered
• 2+ years of experience in data science, data analysis, or a related analytical field
• Strong proficiency with programming languages such as Python or R, and familiarity with SQL and time‑series databases
• Solid understanding of machine learning algorithms and statistical modeling techniques
• Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn)
• Ability to effectively communicate complex data insights to both technical and non‑technical audiences
• Strong critical thinking and problem‑solving skills

Benefits

Be a part of creating an innovative product that makes a real difference.

Comprehensive health insurance, including medical, vision, and dental coverage.

Paid time off to support a balanced work‑life experience.

Work in a conveniently located office in downtown Vancouver.

Grow your career and take on more responsibilities within the company.

Discover how energy, artificial intelligence, and computing intersect to tackle significant challenges.

Join a team that prioritizes clean coding practices, strong principles, and technical excellence.