Data Scientist

As a Data Scientist with our client, you’ll receive:
- Highly competitive market hourly rates
- A 6 month contract with a strong probability of extension
- Remote interview process


Responsibilities
• Lead data science projects from start to finish, identifying opportunities, defining the problem, building a proof of concept, and deploying a data product
• Conduct data mining on guest, product, sales, assortment data sources for insights; generate
hypotheses to test for opportunities in improving the merchandising and planning process
• Apply a wide range of statistical and quantitative analysis in practical and valuable ways
• Perform data pre-processing, data integrity, feature selection, model selection analysis
• Participate in design workshops and document business requirements and constraints
• Program and write maintainable and well-documented scripts/applications for process automation; produce reusable machine learning pipelines while model building
• Connect with business partners to understand the go-to-market process, product lifecycle, and product strategy
• Collaborate with data engineering teams to improve data quality and availability
• Visualize and communicate results to senior leadership in Product
• Create rich interactive visualizations through data interpretation and analysis integrating various reporting components from multiple data sources
• Learn and work with subject matter experts

Qualifications
• Excellent academics in Comp. Science, Engineering, Math, Statistics, Research, or a related field
• Strong problem solving and analytical skills including mining, evaluation, analysis, and visualization;
• Must have experience with Python (Jupyter, NumPy, Pandas, PySpark)
• Must have experience in at least one of the common data science toolkits, such as
scikit learn, Tensorflow, PyTorch, etc..
• Strong SQL or Excel skills with the ability to learn other analytic tools;
• Ability to take on responsibilities and work with minimal supervision;
• Ability to create and maintain outstanding partner relationships;
• Strong technical aptitude;
• Excellent written and verbal communication skills including reports and presentations;
• A drive to learn and master new technologies and techniques
• 3-5+ years of work experience in data science, preferably in the retail or apparel industries
• Demonstrated experience applying machine learning and data mining techniques
• Experience of working closely with MLOps to push models to production is preferred
• Excellent communication skills to both technical and non-technical audiences
• Able to turn business problems into analytical solutions

Summary
If you are a Data Scientist and the prospect of joining a dedicated team intrigues you, then this role with our high-profile client could be the perfect opportunity for you.

Apply below or reach out to your Randstad representative for more information.


Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.

Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.ca to ensure their ability to fully participate in the interview process.