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Data Analyst(Scientist)

Toronto, Ontario  - Permanent



Job Description

Our client is looking for Data Scientists​ to join their rapidly growing big data team. We're looking for people who have a passion for working with real world data to derive actionable insights. Successful candidates for the role will work with clients and internal stakeholders to define, prototype, and produce custom solutions using state-of-the-art big data platforms, analytics, and machine learning.

The ideal candidate will have a background in a quantitative field and have experience with large datasets, the Hadoop ecosystem, statistics/analysis, and client-facing activities. They will be enthusiastic, creative, and results focused, and will get the opportunity to work across varying sets of data with a variety of clients.

what you will be doing:
● Define, build, and present models to C-suite executives in industries ranging from automotive to startup
● Ingest, manipulate and model large datasets using supervised and un-supervised machine learning techniques to help define the structure of the customer base
● Produce prototypes, POCs, or APIs to showcase and make available models and their outcomes


Must Have Skills:

● High fluency with SQL on one or more of the following databases - Hive,PostgreSQL,Oracle, SQL Server, MySQL
● Fluency with scripting (Python, Bash, etc.)
● Experience with statistical programming languages/packages (R, SAS, Scipy/Numpy/Scikitlearn)
● Familiarity with Unix/Linux systems and command-line interfaces and editors
● Familiarity with the AWS ecosystem
● Comfortable working with the Hadoop ecosystem (Spark, MapReduce, Hive, YARN)
● Experience with supervised learning algorithms and their application to large data sets
● Experience loading, cleansing, and analyzing very large datasets


Nice to Have Skills:

● Experience with unsupervised clustering algorithms, especially on large data sets
● Some experience with interactive visualization of data in Shiney, D3 or Dash
● Specific experience with the following programming languages: Scala, Apache Spark, Python, R
● Some applied experience with ANN frameworks like: Tensorflow, Keras, Torch, Mxnet, etc


Details:
Starting: ASAP
Travel: 0%
Dress Code: Casual
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