Data Scientist

Hybrid Full TimeToronto, Ontario, CanadaNumeris

Role Overview

Numeris is seeking a Data Scientist to design, develop, and monitor advanced analytics, statistical models, machine learning solutions, and data products to enhance products, operations, and decision-making.

What You Will Do

Conduct advanced data analytics, modelling, fusion/integration, and machine learning initiatives, develop and enhance algorithms, and support cross-functional teams.

Why It Might Be a Fit

The Data Scientist will have the opportunity to work on exciting projects, add value, and make a positive impact to the company, with a culture of great teams, coworkers, and supportive leadership.

Requirements

  • Undergraduate or Graduate degree in Statistics, Data Science, Mathematics or related quantitative fields.
  • Up to 3 years of experience in a similar role/field
  • Strong expertise in applied statistics, including sampling, statistical inference, regression, imputation, model evaluation and forecasting, supported by experience in advanced analytics, data integration and machine learning.
  • Proficiency in Python, SQL, or equivalent, and familiarity with reproducible analytical practices including Git, modular development, testing and documentation.
  • Strong analytical, problem-solving, communication and collaboration skills, including the ability to communicate findings to technical and non-technical audiences.

Benefits

  • Benefits package
  • Group savings and retirement program
  • Health and Dental employer paid premiums
  • Hybrid Work: on-site office in Toronto and work from home as required per the role
  • 4 weeks paid vacation
  • Education Reimbursement: For those wishing to pursue additional professional development, funding up to $1000 per year is offered (some conditions apply)
  • Continuous learning and development via Percipio, our Learning Management System
  • Perkopolis: Participation in a program that provides exclusive discounts on products and services to employees

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To apply for this job please visit jobs.lever.co.

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