Data Scientist (REF 188459)

Forsyth Barnes; Vancouver; Hybrid; CAD 100,000 - 125,000; Full time

Job summary

A recruitment firm is seeking a Data Scientist to work hybrid in Vancouver, Canada. The role involves building predictive models, developing optimization solutions for merchandise planning, and applying machine learning techniques. Ideal candidates must have expertise in SQL, Python, and R, along with a proven background in retail. This contract position offers a rate of up to $90 CAD per hour.

Qualifications

• Expertise in SQL, Python, and R, along with practical experience in model development.
• Proven track record in optimizing predictive models.
• Essential experience in the retail industry.

Responsibilities

• Building and enhancing predictive models that assist in inventory and allocation merchandising.
• Developing optimization models to streamline merchandising and planning processes.
• Participating in applied machine learning projects to address intricate business challenges.

Skills

SQL

Python

R

Machine Learning

Data Engineering

Job description

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Contract Length : 6 months (room to extend)

Location : Hybrid in Vancouver, Canada

Sector : Retail

Rate : up to $90 (CAD) Per Hour

Job Description

This organization is seeking a Data Scientist to play a vital role in key merchandising functions. The focus will be on supporting planning and optimization efforts while collaborating across various departments. The successful candidate will engage in machine learning projects and data engineering initiatives, applying their expertise to strengthen the analytical capabilities of the organization.

Key Responsibilities

• Building and enhancing predictive models that assist in inventory and allocation merchandising.
• Developing optimization models to streamline merchandising and planning processes.
• Participating in applied machine learning projects to address intricate business challenges.
• Employing programming languages such as Python and R to extract insights from data.
• Crafting efficient SQL queries for data handling and analysis.

Requirements

Expertise in SQL, Python, and R, along with practical experience in model development.

Proven track record in optimizing predictive models.

Essential experience in the retail industry.

Understanding of assortment recommendation strategies and inventory optimization.

Familiarity with planning and merchandising models is advantageous.

If this role is of interest to you, please reply with your most recent Resume. if your profile is of interest, I will reach out

We cannot provide any sponsorship for this role.

Seniority level

Seniority level

Mid-Senior level

Employment type

Employment type

Contract

Job function

Job function

Information Technology

Industries

Staffing and Recruiting

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