Senior Data Scientist

G2i Inc.; Vancouver; Hybrid; CAD 80,000 - 110,000; Full time

Job summary

An innovative firm is seeking a Senior Data Scientist to leverage data-driven insights and enhance user experiences. This hybrid role in Vancouver will involve collaborating with cross-functional teams to deliver impactful analytics projects. You will work with modern data visualization tools and deploy machine learning models to optimize business outcomes in the fintech sector. If you have a strong background in data science and a passion for solving complex problems, this opportunity is perfect for you. Join a forward-thinking company that values creativity and critical thinking in a dynamic environment.

Qualifications

• 5+ years experience in analytics, data engineering or data science.
• Proficiency in SQL, Python, and/or R across complex datasets.
• Excellent written and verbal communication skills.

Responsibilities

• Create data-driven insights to enhance the user experience.
• Work with stakeholders to scope analytics projects.
• Evaluate consumer fintech data using various methods.

Skills

SQL

Python

R

Machine Learning

Data Analysis

Statistics

Critical Thinking

Communication Skills

Education

Bachelor's degree in a quantitative field

Master's degree (nice to have)

Tools

Tableau

PowerBI

Amazon SageMaker

Google Cloud AI

Microsoft Azure

Job description

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This is a hybrid position requiring presence in Vancouver, BC.

What You'll be doing:

• Create data-driven insights in order to enrich the end user experience
• Communicate with multiple teams by creating reports in order to share insights and overall data story
• Work alongside senior level stakeholders to scope analytics projects to ensure data science deliveries are driving business impact
• Evaluate consumer fintech data by using various methods and tools including but not limited to; Machine Learning, Statistics, Data Analysis, Quantitative Finance, and Modern Programming
• Facilitate data driven initiatives in the following areas to paint a cohesive data picture:
• Lifetime Value Optimization
• Fraud and Ethical Lending Analysis

What You Should Already Have:

• A Bachelor’s degree in a quantitative field, such as Finance, Computer Science, Economics, Mathematics or a similar technical discipline
• 5+ years experience in applying analytics, data engineering or data science
• Proficiency in working with SQL, Python and/or R across complex real world datasets
• Proficiency in using modern data visualization tools, such as Tableau, PowerBI or similar
• Experience deploying ML models using machine learning as a service platforms such as Amazon SageMaker, Google Cloud AI, and Microsoft Azure
• Excellent written and verbal communication skills
• Aptitude for critical thinking as it relates to complex problems and challenge assumptions in order to implement creative solutions

What Would Be Nice To Have:

• A Master's degree or higher, focused in data science, analytics finance, or software engineering
• Experience applying data science consumer finance, fintech and other Financial Industry domains
• Familiarity with related disciplines such as consumer finance, project
• management, user experience design, software development and digital
• marketing
• Experience in establishing data technology foundations for agile business
• intelligence, data lakes and data workbenches, and applied machine learning/AI
• Experience with large-scale data analysis technologies (e.g. Relational and
• NoSQL data stores, Spark framework, and cloud development in the AWS
• Ecosystem)
• Specializations and applied experience in the following areas:
• Consumer Credit and Risk Modeling
• Fraud and Anomaly Detection
• Customer Segmentation and Intent Modeling
• Marketing Attribution and Targeting
• Recommendation Engines

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Software Development

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