Data Scientist
Replicon
Calgary, Canada
3d ago

Replicon is looking to hire someone for our Time Intelligence platform who is passionate about taking data and transforming it into information and insights that can help our customers make the right decisions.

Our SaaS application is used by thousands of customers, collecting data for millions of users, and we model business capabilities across many different industries. Objectives

  • Work within our product engineering team to enhance our data analytics platform by identifying solutions to business problems using data analytics
  • Gain an understanding of our product and business domain to be able to drive our data model to be able to provide more analytical insights
  • Design and build our platform for solving time intelligence problems which needs to allow our customers to find meaningful insights in their uniquely modeled business
  • Evolve data analytics from a static model to a learning model, and not just analyzing a provided set of data
  • Keep current with industry trends
  • Responsibilities

  • Work with product managers to understand business objectives and to deliver results based on that context
  • Think about our data strategically, identifying new datasets for our product and work with the engineering team to integrate those datasets to create new data products
  • Execute analytical experiments and interpret the results to provide guidance on how to use or enhance our data platform
  • Identify relevant datasets to use for analytical experiments
  • Implement analytical models into production by taking product requirements and collaborating with software developers and machine learning engineers.
  • Own and continuously improve launched analytical models.
  • Evangelize analytics best practices and provide technical guidance and options to the team
  • Managing work on multiple concurrent analytics projects
  • Iterate and improve your work until the business objective is met, even if there are very challenging technical constraints to overcome
  • Openness to using many different tools and approaches as necessary - the right tool for the job
  • Take ownership and pride in everything you do and stand by what you deliver
  • Skills and Qualifications

  • Bachelor’s degree in statistics, applied mathematics, or related discipline
  • Proficiency with data mining, mathematics, and statistical analysis
  • Advanced pattern recognition and predictive modeling experience
  • Programming experience (Python, R, etc.)
  • Preferred Qualifications

  • 2+ years experience in data science
  • Professional certifications
  • Experience with visualization tools such as PowerBI and Tableau
  • Experience with NLP / NLU technologies (Amazon Lex, Google DialogFlow, etc)
  • Experience with AI / ML technologies (Tensorflow, Amazon Sagemaker, etc)
  • Experience with SQL
  • Experience working in an Agile environment
  • A portfolio of relevant work to share
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