Data Scientist

Do you like big data? How do you feel about skunk works?

Thomson Reuters Labs – Waterloo Region is located in partner alley at Communitech, sharing an open and collaborative workspace with industry greats such as TD, General Motors, Canadian Tire, and Deloitte. What do we do? We experiment. We play with big data sets to discover what new products, services, or analysis we can create for our customers.

You might be familiar with Reuters News, but you might not know that Thomson Reuters is also one of the leading sources of information for the world's top companies in finance, risk, legal, tax and accounting, and media. The best part? We have data. Lots and lots of data. Over 60,000 TBs worth of data. That's about 20,000 times more data than exists in Wikipedia.

Come play with us.

Learn from Data Scientists in Waterloo and our sister-labs in Boston, Singapore, London, Cape Town, Zurich. Pick the brains of PhD's and Masters grads with experience in big data, statistics, machine learning, natural language processing, artificial intelligence, and data visualization. Some of our recent work includes evaluating free trade, using data to combat modern day slavery, and partnering with Lucerne University on a comprehensive ranking of FinTech ecosystems.

Thomson Reuters Labs – Waterloo Region partners with internal teams, external customers, and third parties, such as start-ups and academics, creating rapid prototypes and data-driven innovations that land in the hands of real users in just a few short weeks.

Key Responsibilities

We are currently seeking a passionate Data Scientist with an entrepreneurial spirit to join our Lab in Waterloo. You are driven and resourceful, capable of building data-driven insights that address complex current and future business problems. In this role, you will demonstrate the art of the possible and have significant and direct impact on our company's products.

  • Master's Degree or PhD in relevant technical field, such as computer science, statistics, finance, applied mathematics, physics, genetics or a related discipline.
  • 3 years of industry or academic experience in data mining and analytics.
  • Experience producing and rapidly delivering minimum viable products.
  • Experience in one or more of:
  • Text mining, NLP or data mining
  • Information extraction
  • Machine learning
  • Data visualization
  • Graph analysis
  • Use of APIs
  • Experience working with programming and scripting languages such as:
  • Python
  • R
  • Scala
  • Java
  • C#
  • Experience with relational, NoSQL, or Graph databases.
  • Engineering Experience:
  • Back-end infrastructure, Back-end engineering experience such as:
  • RabbitMQ, Kafka, Celery
  • Flask, Django
  • AWS
  • System design
  • Bonus:
  • Big data analytics or visualization such as:
  • Spark
  • Hadoop ecosystem
  • NoSQL DB such as ElasticSearch, Solr
  • Web Technologies (e.g. HTML, JS, D3, etc)

At Thomson Reuters, we believe what we do matters. We are passionate about our work, inspired by the impact it has on our business and our customers. As a team, we believe in winning as one – collaborating to reach shared goals, and developing through challenging and meaningful experiences. With over 50,000 employees in more than 100 countries, we work flexibly across boundaries and realize innovations that help shape industries around the world. Bring your ambition to make a difference. We'll bring a world of opportunities.

As a global business we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under country or local law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace.

Intrigued by a challenge as large and fascinating as the world itself? Come join us.

To learn more about what we offer, please visit thomsonreuters.com/careers.

More information about Thomson Reuters can be found on thomsonreuters.com.


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