Data Scientist

IrisCX; Calgary; On-site; CAD 80,000 - 100,000; Full time

Job summary

A dynamic software startup is seeking a Data Scientist in Calgary to enhance Visual Customer Experience. Responsibilities include analyzing data, designing prediction algorithms, and collaborating with engineering. Candidates must have experience with Python, machine learning, and data visualization tools like Tableau. This position offers stock options, unlimited vacation, and a flexible/remote work schedule.

Benefits

Stock options

Unlimited vacation

Flexible work schedule

Comprehensive benefits

Qualifications

• Proven experience in building production-ready applications.
• Hands-on experience with Tableau and Machine Learning models.
• Experience with MongoDB and MySQL required.

Responsibilities

• Analyze raw data for quality and structure.
• Design scalable prediction algorithms.
• Collaborate with engineering for prototype production.
• Generate actionable business insights.
• Design and test NLP and Computer Vision algorithms.

Skills

Python

Pytorch

TensorFlow

Flask

Tableau

MLOps

MongoDB

MySQL

CloudBuild

Jenkins

CircleCI

Docker

Git

JIRA

Confluence

Tableau (Big Data)

Job description

Who we are

IrisCX is a dynamic software startup spread across Calgary, Toronto, Vancouver, and Ottawa. We are looking for a Data Scientist to join our team to help push the boundaries of Visual Customer Experience.

Responsibilities

• Analyze raw data: assessing quality, cleansing, and structuring for downstream processing
• Design accurate and scalable prediction algorithms
• Collaborate with the engineering team to bring analytical prototypes to production
• Generate actionable insights for business improvements
• Working closely with Product Owners and CTO
• Designing and testing NLP, computer vision algorithms, and predictive models
• Building scalable architecture to support multiple platforms at the same time
• Brainstorming new product ideas and bringing them to life
• Working with the design team to make the most appealing products
• Work with the sales team to understand customer’s pain points and to develop strategies for client engagement

Qualifications

• Proven experience in building production-ready applications with Python, Pytorch/TensorFlow, Flask
• Hands‑on experience with Tableau
• Machine learning models and their version controlling, MLOps
• Experience with Mongo, MYSQL is must
• Must have experience with CICD stacks such as CloudBuild, Jenkins, CircleCI
• Experience with building State of Art Models Inference based applications
• JIRA, Confluence, Git, Docker, Swagger
• Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau)
• Nice to have: experience working with real-time video streaming applications
• Nice to have: experience working with Snowflake

Interview Process

• Video pre‑screening. Self‑Guided video submission using IrisCX. Instructions will follow post‑application.
• Technical interview with the team. Hands‑on technical pre‑screening where you will be required to solve a problem within the 1‑hour time window. Help and specific instructions will be provided.
• Leadership interview. You will meet an irisCX leadership team and will be tested on various business topics, and general communication, sales, and collaboration concepts.

Benefits

• Stock options – built directly into our compensation plan and offered as a bonus when we hit collective company goals.
• Unlimited vacation – we take a minimum of two weeks off per year, and we are empowered to take more as long as we balance it with workload.
• Flexible/remote work schedule – we work asynchronous‑first and empower our team to choose working hours that serve them best.
• Comprehensive benefits – all full‑time team members have access to employer‑paid comprehensive benefits plan and digital wellness benefit, plus stipends for mobile phones and remote work setup.

Apply Now

To apply, please submit your résumé and portfolio examples of measurable impact to [e-mail].

Contact

Address: 2020, 150 9 Ave SW, Calgary, T2P 0S9 Canada
Phone: [phone]‑6732
Email: [e-mail]