Data Scientist Real Estate Travel and Marketing

We're looking for an experienced and nbsp;Data Scientist and nbsp;to help our R and amp;D department at Rankbreeze.

You'll be working directly with our CEO and amp; this is a great opportunity for someone seeking to grow a data science team locally in Calgary or Canada.

About Rankbreeze

Rankbreeze helps 7,000+ property managers achieve higher revenues and amp; bookings with our software platform and amp; hands-on services.

We help our users maximize their property's rankings, prices and amp; market data.

We're looking for an enthusiastic data scientist to join our R and amp;D team and amp; help our users make better data-driven decisions.

If you thrive in a dynamic and amp; mission-driven environment, then this is the role for you!

A Day In The Life

• Leverage Rankbreeze s unique data assets to fully understand booking patterns and amp; listing correlations
• Optimize a model for improving booking rates
• Build an ELT or ETL data pipeline and amp; integrate with new APIs
• Structure a best-in-class data lakehouse architecture
• Deliver a production-ready model
• Put together a presentation about your latest discoveries

Why Join Rankbreeze?

• Join a fun, stimulating and amp; fast-paced startup environment
• Be part of a growing Canadian tech company
• A remote environment with in-person events
• Professional growth and amp; training opportunities

The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers.

Responsibilities

• Analyze raw data: collecting, assessing quality, cleansing, structuring
• Design accurate and scalable prediction algorithms
• Collaborate with engineering team to bring analytical prototypes to production
• Generate actionable insights from your latest findings
• Visualize your latest discoveries and amp; share your findings with the team

Qualifications

• 3 years of hands-on programming experience with strong development skills in Python (OpenCV, NumPy, Matplotlib, Scipy) and PyTorch/TensorFlow or equivalent libraries
• 3 years of experience with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau)
• Experience with REST APIs and worked with ML on cloud (Google Cloud preferred)
• Bachelor's degree or equivalent experience in quantative field (Data Science, Statistics, Mathematics, Computer Science, Engineering, etc.)
• Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms
• Familiarity with marketing concepts, like SEO, pricing, and amp; A/B testing
• Great written communication for non-technical audiences

Benefits:

• Casual dress
• Company events
• Profit sharing
• Work from home