Overview
Data Scientist Jobs in Greater Toronto Area at TripStack
Title: Data Scientist
Company: TripStack
Location: Greater Toronto Area
About TripStack
We are travel tech entrepreneurs, changing the way millions of people travel.
Our proprietary virtual interlining technology provides access to billions of travel itineraries by combining flights from different airline carriers that don’t traditionally work together. We take our customers from point A to B via C, including land transportation, at the lowest possible price. We are impacting the way people travel and provide higher margin opportunities to our partners that are some of the largest in the travel industry.
We pride ourselves on the performance-driven environment we have created for our teams to prosper and excel in. We come to work ready, to challenge and be challenged. We’re big enough to give our teams support but small enough that every person makes a difference. There are plenty of challenges to champion.
The Role
Seeking an experienced Data Scientist to join our Data team. You’ll contribute to our mission by building scalable data pipelines, defining KPIs, automating data collection, and leveraging machine learning to optimize our business software. If you thrive in solving complex problems and have a background in computer science, data science, or mathematics, join us to reshape the online travel tech industry.
Responsibilities:
Develop scalable data pipelines for streaming and batch data
Define and measure KPIs to enhance customer satisfaction and business outcomes
Acquire, structure, and process both structured and unstructured data
Implement machine learning models to improve decision-making processes
Automate data collection using distributed systems
Generate reports and presentations for business insights
Correlate similar data to derive actionable results
Train machine learning models using various methods
Conduct thorough technical writing for documentation and reports
Communicate complex data effectively to diverse stakeholders
Desired Skills & Experience:
5+ years of experience data science
Proficiency in Python, R, and Scala
Strong SQL skills and familiarity with business intelligence tools
Experience with Real-Time OLAP platforms like Apache Druid
Understanding of scalable software concepts and algorithms
Solid mathematics background including statistics and linear algebra
Familiarity with big data technologies such as Hadoop, Spark, and Kafka
Expertise in machine learning models including linear and logistic regression, clustering, and neural networks
Exceptional attention to detail and ability to visualize data effectively
Experience with data processing libraries like Pandas, NumPy, and PyTorch
Ability to work independently and collaborate effectively in a team
Additional experience in software engineering, performance tuning, and cloud environments is advantageous
Advanced degree in Computer Science, Statistics, or related field preferred
Additional Experience that would be Considered an Asset:
You have a background as a Software Engineer who has experience in modern languages like Go, C# (.Net core), Java or Scala.
Hands on with writing multi-threaded, concurrent programs
Hands on with performance tuning and optimization with respect to latency, throughput of calls, skilled in usage of load testing tools like JMeter
You can normalize a relational database (SQL) with the best of them and know when not to. Knowledge of NOSQL datastores is also welcome.
Masters’ degree/PhD in Computer Science…
