Data Scientist - Dieppe, Canada - Borsh Agency

Borsh Agency
Borsh Agency
Verified Company
Dieppe, Canada

4 weeks ago

Sophia Lee

Posted by:

Sophia Lee

beBee Recruiter


Description

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

We will rely on you to build data products to extract valuable business insights.

In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research.

Your goal will be to help our company analyze trends to make better decisions.


Responsibilities

  • Identify valuable data sources and automate collection processes
  • Undertake preprocessing of structured and unstructured data
  • Analyze large amounts of information to discover trends and patterns
  • Build predictive models and machinelearning algorithms
  • Combine models through ensemble modeling
  • Present information using data visualization techniques
  • Propose solutions and strategies to business challenges
  • Collaborate with engineering and product development teams

Requirements and skills

  • Proven experience as a Data Scientist or Data Analyst
  • Experience in data mining
  • Understanding of machinelearning and operations research
  • Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset
  • Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop)
  • Analytical mind and business acumen
  • Strong math skills (e.g. statistics, algebra)
  • Problemsolving aptitude
  • Excellent communication and presentation skills
  • BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred

Job Types:
Full-time, Casual


Salary:
$4,841.41-$8,425.05 per month


Benefits:


  • Dental care
  • Flexible schedule
  • Language training provided
  • Paid time off

Schedule:

  • 8 hour shift
  • Day shift

Supplemental pay types:

  • Bonus pay
  • Signing bonus

Ability to commute/relocate:

  • Dieppe, NB E1A 7E6: reliably commute or plan to relocate before starting work (required)

Experience:


  • Machine learning: 1 year (required)

Work Location:
Hybrid remote in Dieppe, NB E1A 7E6

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