- 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
- 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
- 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, Software Engineering, Statistics or a related combination of education and experience.
- A thorough understanding of scalable software concepts, time and space complexity, algorithms to process data at scale, example - merging sorted linked lists at scale.
- Experience with big data technologies such as Apache Hadoop and Spark and Kafka.
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Data Scientist - Greater Toronto Area, Canada - TripStack
6 days ago
Description
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:
Desired Skills & Experience:
Additional Experience that would be Considered an Asset:
Benefits
What it takes to succeed here
Ambition and dedication to make a difference and change the way people travel; Where we always play to each other's strength in a high performing team reaching for our common goal. We hold ourselves to the highest expectations, and move with a sense of urgency and hold ourselves accountable and win by staying true to what we believe in.
Learn more about our values here
What we offer
We offer an opportunity to work with a young, dynamic, and a growing team composed of high-caliber professionals. We value professionalism and promote a culture where individuals are encouraged to do more and be more. If you feel you share our passion for excellence, and growth, then look no further. We have an ambitious mission, and we need a world-class team to make it a reality. Upgrade to a First Class team
At TripStack, we proudly believe in embracing diversity. This is true for our team, clients, communities and stakeholders. We are an equal opportunity employer and committed to creating a safe, healthy and accessible environment. We encourage applications regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or any other grounds protected by law. Please let us know if you need any accommodations during any part of the recruitment process.
TripStack thanks all applicants for their interest, however only those selected to continue in the process will be contacted.