Recherche d'emploi > Montréal, QC > Data scientist

Lead data scientist

Nurun
Montréal, QC, CA
44 $ / heure (estimé)
Temps plein

Job Description

The Senior Data Scientist has a dual role within the agency :

  • Be the guardian and champion of a data-centric culture at Nurun.
  • Lead mandates and support clients in mandates.

Practice lead :

  • Participate in estimating and defining project quality expectations;
  • Be a technical reference for teams;
  • Monitor trends, best practices and new tools available in connection with data (Analytics, ML, AI etc.).
  • Contribute to defining a vision for the practice of data (Analytics & AI) within the agency and participate in evolving the service offering and the tools used to implement it;
  • Participate in the democratization of data within Nurun;

Carry out data consulting mandates :

  • Contribute to performance analysis, definition of measurement objectives and performance monitoring in the initial phases of our mandates;
  • Recommend and implement best practices for data organization and structure.
  • Set up dashboards and configure visualization tools for our customers.
  • Support the implementation of performance monitoring tools such as Piwik and GA4 and use them to analyze the performance of our customers' digital products.
  • Help our customers use machine learning models in their products.

Qualifications

  • Bilingual : fluent in French and English (ESSENTIAL).
  • 5+ years professional experience.
  • Bachelor's degree in mathematics, statistics, computer science or business administration, economics or finance.
  • Comfortable presenting and conveying your enthusiasm for data in front of agency members.
  • Know how to access different databases and create advanced queries for data analysis. Strong knowledge of SQL, expert knowledge of Python or R
  • Proven statistical experience in machine learning, both creating and maintaining models, as well as mentoring analysts in finding the right methods to solve problems.
  • Advanced knowledge of data models, infrastructure and architecture.
  • Ability to manage ambiguity (with customers who don't always know the impact of their data decisions)
  • Proven expertise in data quality, knowledge of various cleansing techniques and data integrity verification.
  • Good ability to visualize data in Tableau, Looker, PowerBI, Quicksight or another data visualization tool in the category.
  • Ability to mix and analyze different data sets to offer clear and accurate analysis to different audiences.
  • Good knowledge of Google Analytics 4.
  • Il y a 13 jours
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