Data Scientist

  • MindBridge
  • Ottawa, ON, Canada
  • May 09, 2018
Full time Data & Analytics

Job Description

Data is at the heart of what we do at MindBridge, we are looking for people who enjoy partnering with colleagues and clients to answer critical and difficult questions. Our data scientists and engineers do not inhabit Ivory Towers, they are collaborative problem-solvers. We care most about getting to the best point of view, regardless of whether that requires a rigorous statistical model, a simplistic ad hoc approach, or some combination of multiple lenses.

Do you have an enquiring mind that questions orthodoxy and the status-quo? Do you enjoy the challenge of breaking new ground in a highly dynamic environment that’s part of one of the fastest growing industries? If so, MindBridge is the team for you!


Skills that will get you hired:

Data Visualization and Communication: You know that storytelling with data is an important skill. You understand how to communicate analytic insights to everyday people without resorting to jargon.

Science/Statistics: You are not scared by Greek letters, and have empirical thinking at your core. You may have acquired these skills by studying Math, statistics or you have a scientific or engineering background. Statisticians, Biologists, Chemists or Physicists.

Machine Learning: You’ve used machine learning techniques, you know how logistic regression works and you can jump in and train a neural net model on data and understand if your results are any good.

Data Munging: You know how to work with data, shape it and manipulate it at will. Wizarding skills with data are highly desirable and knowledge of one or all of SQL, Apache Spark, TensorFlow, MatLab, R is an advantage.

Software Engineering: You are comfortable writing high-quality code in a professional setting. You should have some experience writing code and have worked on agile development teams.

Additional Skills

  • Strong skills in Java, Scala, R, Python or SQL is an asset
  • Experience in analytics with machine learning models is an asset


People we’re looking for :

  • Have an enquiring mind, you are collaborative and like working with colleagues and clients to change the world.
  • Have the ability to think strategically, self-direct and believe in bringing their best every day.
  • Have 5 Year’s Experience translating data into insight to recommendations
  • Have a BS (MS/PhD Preferred) in quant discipline (e.g. Math/Hard Science, Stats, CS, EE, Econ)


About the company

At MindBridge we believe in augmenting human potential through the use of analytics, machine learning, and AI. We believe the best forms of actionable insights come from collaboration between AI and users. At MindBridge we are building the world’s first AI financial auditor. Our technology supports evidence-based decision making built on a bedrock of data analysis and data science.

If you thrive in a culture of healthy debate and enjoy flipping seamlessly between the strategic big picture and the nuts and bolts, then we want to hear from you.

Financial crimes are on the rise; the loss today is estimated in the trillions of dollars. MindBridge was formed to address the growing problem that there is too much data and not enough insight. It’s high time that we take analytics to the boardroom and into the audit space to fight fraud. If you are looking for a needle in a haystack our technology can find it, even if it’s a haystack of needles.

We use statistical methods, machine learning, and artificial intelligence all wrapped in an easy to use cloud-based platform. We make complicated analysis simple and easy for non-technical professionals.

If tackling these kinds of problems gets you fired up, let’s talk. Work with us and we can bring early detection of financial misconduct to the world can stop good people from turning bad.

MindBridge is passionate and committed to creating a diverse environment. We are an equal opportunity employer and as such qualified applicants will receive consideration without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.