Job Posting

Full-time Position | Posted 18 Dec 2019

Data Scientist—Quantitative Social Sciences

To apply, please submit a resume and cover letter. If you have questions about the application process, you can email us at Only applications that include a cover letter will be considered

About RA2

RA2 is a technology and analytics consultancy leading initiatives for a variety of clients in Canada, Australia and the UK. Our work focuses on understanding the networks and narratives that shape decision making. RA2 works with clients that are interested in advancing policy, building common understanding, improving communications, understanding their stakeholders and reaching new audiences. These clients include non-profit foundations, commercial companies, political parties, and advocacy groups.

The Role

Our team uses a combination of machine learning, natural language processing, statistics, network analysis and data mining to explore human behaviour and social systems. Beyond technical expertise, team members are intellectually curious and draw on methods from across political science, psychology, sociology and other disciplines to deliver value for our clients.

Applicants must be able to effectively support multiple concurrent projects with competing timelines and exhibit versatility across project components (programming, design, data analysis, reporting, etc.). The ideal candidate should be creative, comfortable working in a production-oriented environment and able to work independently when needed.

Key responsibilities

The Data Scientist will assume the following responsibilities:

  • Gather, clean and analyze data
  • Build natural language classification and entity recognition models
  • Contribute to the design, implementation and delivery of our analytics products and services
  • Build predictive models using machine learning techniques
  • Manage cloud computing infrastructure
  • Document processes and contributing to technical reports
  • Present results to clients


The ideal candidate will have a unique combination of the following skills and experience:

  • Statistical programming in R or Python
  • Machine learning in R or Python
  • Natural language processing
  • SQL databases (MySQL, PostgreSQL, etc.)
  • Graph databases (Neo4j, OrientDB, MongoDB, etc.)
  • Google Cloud Platform (GCP)
  • Web scraping and API-based data mining
  • Written communication skills
  • Familiarity with software development tools and practices

In addition, the following skills and experience are considered assets:

  • Data visualization using R Shiny
  • Survey research experience, including experimental design
  • Adobe Creative Suite experience
  • Web design skills (PHP, WordPress, HTML, CSS, SCSS, etc.)
  • Publications, working papers, or conference presentations in a quantitative field
  • Publications, working papers, or conference presentations in the social sciences
  • Experience with GIS

Experience comes in many forms and it’s possible that the best candidate may not tick all the boxes defined here. If this sounds like you, we still encourage you to apply!

Above all, we are looking for creative thinking, commitment to excellence and curiosity.

Work Environment

RA2 is based in Calgary, Alberta and conducts work locally and internationally. The Data Scientist will be based in our Calgary office with flexible work hours and the option to work remotely from time-to-time. We value lifelong learning and professional development, and, every day, time is set aside for team members to pursue their interests and develop new skills.

To Apply

We are currently accepting applications for this position and will continue to accept applications until the role is filled. Interested candidates are invited to submit a cover letter and resume:

  • Cover letter (1-2 pages)
  • Resume (1-2 pages)

The cover letter should emphasize the following topics:

  • Book(s) or articles you are currently reading and why they interest you
  • Past success in business development and fostering positive relationships with clients
  • Creative thinking you have contributed to past projects

We thank all candidates for their interest. Shortlisted candidates will be contacted.

Apply Now