Data Scientist

About Flinks

Flinks is a data company that empowers businesses to provide better financial services to consumers, by connecting users' bank accounts, providing financial insights and credit risk intelligence. Driven by the belief that data should belong to consumers, Flinks connects to over 250 million financial accounts. Trusted by hundreds of world-class companies, Flinks helps them digitize their processes, improve their user experience and reduce delinquency. We're following the path of some of Canada’s leading tech companies including Shopify, Wealthsimple, and Slack, with a nomination at the Canadian Innovation Awards for top New Startup of the year. Flinks tech is a core-to-business component for companies that are reshaping the world of finance - TransferWise, WealthSimple, and hundreds other FinTechs. Flinks currently has two offices in Canada, one in Toronto (Wework space - 240 Richmond Street West) and one at Montreal (1001 Rue Lenoir suite 116).

About the Job
We are looking for a Data Scientist to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights.

In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research.
Your goal will be to help our company analyze trends to make better decisions.

Your tasks in this role include : 
-Identifying valuable data sources and automating collection processes
-Undertaking preprocessing of structured and unstructured data
-Analyzing large amounts of information to discover trends and patterns
-Building predictive models and machine-learning algorithms
-Combining models through ensemble modeling
-Presenting information using data visualization techniques
-Proposing solutions and strategies for business challenges
-Collaborating with engineering and product development teams

 
About you
You are eager to operate and learn in one of Canada's fastest growing startup - fast pace, high autonomy, high accountability work culture. 

Core skills/qualifications:
- 3-4 years + Machine learning, Deep learning, Data mining
- Python
- SQL
- Agile environment
- Experience using business intelligence tools and data frameworks (Hadoop)
- Analytical mind and business acumen
- Strong math skills (e.g. statistics, algebra)
- Nice to have : Big Query, Azure, AWS - Data ETL development - Google Cloud suite

 
Characteristics: 
If you see yourself in the following 4 characteristics, and in Flinks' definitions of them, you may want to get in touch:
-Coachability: the ability to absorb and apply coaching 
-Intelligence: the ability to apply causal reasoning 
-Problem solving: the ability to find solutions through effective researching 
-Work ethic: proactively pursuing the uptime team mission with a high degree of energy and daily activity

Recruiter contact: mlaperle@flinsk.io

More about Flinks

Read more about Flinks' Techbible:
https://flinks.io/flinks_tech_bible.pdf

Read more about Flinks’ constitution: 
https://flinks.io/Flinks_Constitution.pdf

Check out our team and get some of our vision: 
https://flinks.io/team/

Check out our CEO’s winning pitch at Montreal’s Forum FinTech 2017: https://www.youtube.com/watch?time_continue=14&v=2hMwdg0I6Gc

Check out our Closing round : 
https://betakit.com/flinks-closes-1-75-million-with-national-bank-luge-capital/ 
https://www.crowdfundinsider.com/2018/07/135964-canadian-fintech-flinks-secures-1-5-million-through-seed-funding-round-led-by-national-bank-of-canada-luge-capital/ 
https://techvibes.com/2018/07/04/fintech-flinks-national-bank-luge-capital

Award nomination:
https://techvibes.com/canadian-innovation-awards/2017-finalists

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