Data Scientist

  • ZetaTango Technology Inc
  • Ottawa, ON, Canada
  • May 07, 2018
Full time Data & Analytics Software Startup

Job Description

Our mission at ZetaTango is to use the latest technology to enable any enterprise to offer financial services that empower their customers. Traditionally, enterprises have not been able to offer financial services to the customer due to the high costs, regulatory burden, lack of capital, and lack of technology. Enterprises with small business customers have not been able to help them grow within their ecosystem and small businesses have only been able to access financial services from large banks with difficulty. ZetaTango has developed a platform that combines cutting-edge technology based on data analytics and machine learning with balance sheet capital to enable any enterprise to offer banking services to their customers.

You have spent countless hours over the years solving hard problems in mathematics, statistics and computer science. You thrive on extracting useful information from large messy data sets and know that a data set that satisfies all the requirements of a specific statistical procedure is a rarity indeed – and you know what to do about it. You have followed your passion for all things quantitative and turned it into your profession.  

At ZetaTango we encourage everyone to trust themselves, stop holding back and use your acquired knowledge to influence your future. Everyone in the team is an integral contributor to our products, working with our customers to collaborate and design the best solutions. Our open work culture provides the opportunity for you to contribute to all aspects of our business: analytics, customer engagement, product ownership, software, QA, devops and 24/7 cloud service deployment.

As a key member of our team your passion for learning will help us design, develop and deploy our integrated cloud services that help small businesses succeed. You will:

  • Apply machine learning to an automated financial services platform
  • Design sophisticated algorithms that work on large data sets in real-time
  • Partake in the full product life cycle development of software that learns and adapts
  • Learn and adapt emerging technologies to real problems

You bring strong knowledge and real-world experience in:

  • statistics, machine learning and/or artificial intelligence
  • R (tidyverse) and/or Python (pandas)
  • developing and assessing the performance of algorithms and data structures for statistics and computational mathematics
  • rdbms, data warehousing & analytics for large data sets
  • obtaining data from web sites via scraping, apis and third parties
  • working with Linux command-lin
  • You are comfortable working autonomously and are highly resourceful.
  • You have an advanced degree ( MSC or PHD) in a highly quantitative discipline (statistics, math, quantitative economics/finance, computer science or engineering)

Other Valued Skills & Knowledge:

  • Git or other version control systems
  • Security & Cryptography
  • Ruby on Rails
  • Experience with agile, test driven design methodology
  • Experience and/or interest in finance and economics

What You Can Expect From Us

At ZetaTango we hire for fit. Fit with our values of openness, agility and respect. Fit with the knowledge and skills needed to excel both individually and as part of a larger team so that we can continue to serve our customers. Fit with an insatiable need to improve, learn and discover. What you’ll get in return is the opportunity to work with others who are top in the industry and who possess an incredible amount of knowledge and enthusiasm for building a world class company.

 

If you are looking for a challenging career and the opportunity to be part of a successful and high growth company, ZetaTango is the ideal place for you.  


We want our candidates and our employees to be set up for success.  During every part of the recruiting process you will have the opportunity to get in touch with our People & Culture team with any questions, concerns or requests for accommodations.