Though I have been fascinated with aviation ever since I was a kid, I’ll admit that I did not expect to come into the domain as a Data Scientist.
The bulk of my formal education focused on Electro-Mechanical Engineering, and I never really considered what a career in the analytics world would look like until taking the Master of Management in Operations Research program at the University of British Columbia. Since joining Boeing Vancouver in 2013 as part of its Advanced Products team, I’ve been able to define my own career path as a Data Scientist in a way that makes sense for me.
As a senior Data Scientist, I help bridge the gap between business and technology, using data to make recommendations that address problems faced by airports, airlines, mechanics, pilots and flight crew. I discovered during my engineering education that I particularly enjoy the technical aspects of any sort of work – getting hands-on with my projects as a tech lead and applying my learning to solve business problems directly. In my current role, I also have leadership responsibilities, helping to direct the strategy of the Advanced Products team and to develop it into the best team it can be.
At Boeing Vancouver, I’ve been able to shape my Data Science career path to encompass the best of both aspects of my position. With the guidance of my manager, I’ve been working to strike a balance between my technical work and my role as a leader, and I am encouraged to attend conferences and training courses to keep current with the latest data science technologies both for my personal interest and to help my team do their best work.
Though I still take every chance to get hands-on in my work, it’s pretty amazing to see how my improving mentoring and leadership skills can benefit the team as a whole. The opportunity to determine my own career path has allowed me to both focus on my current skills and branch out into something new – which is something I want to help my team members do themselves as they build their own careers at Boeing Vancouver.