Two quite different jobs – a Data Scientist at Moncton-based Fiddlehead Technology, and an Instructor at Lab2Market in Halifax – headline our Job of the Week column today.
Lab2Market is a new pan-Canadian program that aims to help researchers transform their discoveries into businesses, following the methodology of successful programs in the U.S. and U.K. The program will work with PhD candidates and post-doctoral researchers to determine whether their scientific discoveries could be developed into startups. The opening is at Dalhousie University, which will pilot the program in the next two years along with Ryerson and Memorial universities.
Fiddlehead is a company that uses big data analysis to revolutionize the food and beverage supply chain. Its technology analyses data to ensure producers and retailers have just enough inventory, so there is as little wastage or shortfall as possible.
The Job of the Week column features openings posted on the Entrevestor Job Board, which focuses on jobs in technology, innovation and startups in Atlantic Canada. The Entrevestor Job Board helps match job openings and candidates in the tech and startup communities and is operated by Entrevestor and Alongside.
Here are excerpts from this week’s posting:
We are looking for an analytical, detail-oriented individual to work with us in a Data Scientist role. You would be tasked with analyzing, interpreting and modelling data to solve business problems on a global scale. This is a position that requires good problem-solving skills, high technical competency and excellent communication skills to present your ideas and findings.
In this role, you would report to the VP Engineering. Responsibilities will include:
Conceiving and developing data driven solutions for clients
Creating and presenting results and findings to clients
Collaborating with developer resources to build data pipelines and operationalize solutions
Data cleaning & reshaping
Masters or Ph.D in Econometrics, Financial Economics, Mathematics, Statistics, Physics, Computer Science, Data Science, Engineering or equivalent experience
2-5 years of experience in a Data Science role
Experience in one or more programming languages (Preferably Python)
Experience with one or more data science frameworks (e.g. Numpy, Scikit-learn, Scipy, Pandas)
Strong understanding of data and business
Ability to work autonomously and in a team
Working in a fast-paced environment
Ability to solve complex problems
Strong communication skills
Nice to haves:
Past experience with one or more business intelligence/analytics platforms (Teradata, Microstrategy, Cognos)
Analytical experience related to the food and beverage industry
Past experience working with time series data . . .
The Lab2Market Program at Dalhousie University is currently seeking experienced instructors to participate in the Lab2Market pilot program. Instructors will be required to shadow trained instructors for a full cohort of the Lab2Market program, where they will observe the training program and curriculum that has been previously administered to over 1400 teams from over 230 universities, by Venturewell.
Once trained, instructors will then work with a team of 3 instructors to administer the curriculum, provided by Venturewell.
Time Commitment: (3 Months/Cohort)
4 full-day training sessions for kick-off workshop.
6 weekly 3-hour online classes
2 hours / week 'office hours'
2 full-day wrap-up and options session
Instructors selected for this program are expected to:
Have a proven track record in the start-up space.
Demonstrate interest in coaching, mentoring, and fostering new companies/teams.
Experience in working with or with-in an academic setting.
Be familiar with the Lean Start-up methodology
Deadline for Instructor applications for Cohort 1 – April 1st, 2020
Ryerson ‘training’ cohort – May 11-14th, 2020
Dalhousie cohort – September 21-24th, 2020
An honorarium of $3,500 CAD will be provided for the mandatory training cohort.
Per Cohort (post training) - $24,500 CAD
Accommodations and travel will be covered by the Lab2Market program, as needed, for the kick-off workshop and the wrap-up/options session. . . .