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Jr Data Scientist

Company:
Spectra Group
Location:
Toronto, Ontario, Canada
Posted:
April 11, 2019

Description:

Looking for Jr Data Scientist, some one from Statistic, Maths background.

This will be a contract job, rates are open for now. just to keep in mind this is an Jr – Mid Role

Location: Toronto.

We are looking for a Data Scientist to analyze large amounts of raw information to find patterns that will help improve our company's

abilities to monetize internal and external data sets.

Candidates should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem?solving skills are essential

for interpreting data. A passion for machine?learning and research is a must.

Key Responsibilities:

? Identify valuable data sources and automate collection processes

? Undertake preprocessing of structured and unstructured data

? Employ various data profiling and data mining techniques

? Analyze large amounts of information to discover trends and patterns

? Build predictive models and machine?learning algorithms

? Interact with our clients to help them understand the data sets we offer and the modelling opportunities available

? Present information using data visualization techniques

? Propose solutions and strategies to business challenges

? Collaborate with engineering and product development teams

? Help build a reusable machine learning frameworks that will allow us to automatically modelling data and review results

Skill Set and Knowledge Requirements

Function:

Data Transformation & Warehousing

Dashboard Business Intelligence

Business Intelligence

System Development

Technical Skills:

Expert understand of various forms of SQL development

Very strong understanding of Hadoop

Good understanding of Matplotlib and/or Seaborn

Expert development understanding using Unix shell

(bash), Python and standard packages such as Numpy

and Pandas

Strong machine learning background utilizing Scikit?Learn and TensorFlow

Business Product or Process Knowledge:

Data mining techniques using standard Python packages