Data Scientist
Frozen Mountain Software
Surrey, BC
We're Frozen Mountain Software, a global leader in Internet Based Real-Time Communications (iRTC) solutions-we are all about connecting people, everywhere, to what matters most. A hidden gem that is based in the heart of Surrey, BC (the fastest-growing city in the province!) Awarded 2018 Canada's Top Small & Medium Employers and recently featured in the City of Surrey's 2017-2027 Economic Strategy for our commitment to nurturing a great culture.

We are always looking to expand our products into new and exciting areas such VR, google glass, IoT devices and any other cool and exciting technology that comes our way! We are currently seeking a Data Scientist for our Products team to help lead us down this path of exploration. As a Data Scientist, not only can you slice and dice data, but you are a passionate, strong communicator that engages your audience. When you talk numbers, everyone stops to listen.

What you will be doing:
Create visuals of your findings that will have everyone actively fascinated by the story you have to share. You'll get this done by pulling aggregated data from our Cassandra database to create roll ups of that data.
Collaborate with the Product departments to understand company needs and device possible solutions
Create new statistical or mathematical models, towards smart solutions for FM and our clients
Visualization is your middle name. Transforming large amounts of complex data into digestible visual aids is your game.
We're often asked, "what does it take to succeed at Frozen Mountain?" You've got to have a huge appetite for learning, take ownership, and be smart without having an ego. Here at FM, we believe in the FORCE! (Family, Ownership, Resourcefulness, Community, Excellence) Is the FORCE strong within you? Below are more details of what we are looking for in this role.

The must-haves:
A university-level degree, MSc. or PhD. in Mathematics, Computer science, or Statistics
You're a whiz when it comes to Cassandra, Postgres, C#/.NET, REST and Web-based Graphing Frameworks
5+ years experience with ETL, data processing, database programming, and data analytics, manipulating and analyzing complex, high-volume, high-dimensional data from varying sources
Previous experience with Big Data technologies such as Apache's Hadoop, Mahoot, HBase and Storm is highly desirable
You're an experienced investigator, nothing gets past your detection of patterns, trends and correlations
What's in it for you?

Competitive salary and commission - we're not just saying that! We compare our salaries to local averages to make sure that we stay ahead.
MSP & Extend Health Benefits paid 100% by the company, RRSP matching up to 5%
Internal opportunities for professional development and advancement
Free snack bars, fruits, veggies, specialty coffee and tea, and soft drinks in the office (oh, and of course the Nespresso machine!)
Weekly catered lunches, monthly pub nights, and 8 awesome staff and family events, per year
Comfortable, ergonomic work spaces with top-notch hardware
Yearly allowance for branded clothing and swag ($100 to spend)
Work-from-home days, flexible office hours, and a relaxed office environment
A space where egos are checked at the door, sleeves are rolled up to lend you a hand, ping pong is serious business and where the CEO will know you by name, rather than by number.

About us:
Created by brothers Anton and Jerod Venema in 2008, FM has grown to over 35 employees, and 400 customers in 47 countries worldwide. Through our technology and innovation, we inspire and enable development teams through industry leading enterprise-class real-time streaming and analytic solutions. With products built from the ground up, we live and breathe RTC technology. Come work for a company that is built by Developers, for Developers!

To apply:
Please directly submit your application to: https://frozenmountain.prevueaps.com/jobs/

Thank you for your time, we look forward to learning more about you!

Frozen Mountain is committed to be a diverse and inclusive workplace. We encourage applicants of different backgrounds, cultures, experiences, abilities and perspectives to apply. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, or disability status.