Data & AI Engineer – Data Science Engineer, Capgemini

Data & AI Engineer - Data Science Engineer, Capgemini

Company Capgemini
Job title Data & AI Engineer – Data Science Engineer
Job location Ontario, Canada
Type Full Time

Responsibilities:

  • Obtains tasks from the project lead or Team Lead (TL), prepares functional and design specifications, and approves them with all collaborators.
  • Ensures that assigned area/areas are delivered within set deadlines and required quality objectives!
  • Provides estimations, agrees task duration with the manager, and contributes to project plan of assigned area!
  • Analyzes scope of alternative solutions and makes decision about area implementation based on their experience and technical expertise.
  • Leads functional and architectural design of assigned areas. Make sure design decisions on the project meet architectural and design requirements.
  • Addresses area-level risks, provides and implements a mitigation plan.
  • Reports about area readiness/quality and raises red flags in crisis situations that are beyond their AOR.
  • Responsible for resolving crisis situations within their AOR.
  • Initiates and conducts code reviews, creates code standards, conventions, and guidelines.
  • Suggest technical and functional improvements to contribute to the product;
  • Constantly improves their professional level.
  • Collaborates with other teams.

Requirements & Skills:

  • We are looking for candidates with a degree in Math, Physics, Statistics, Economics, Computer Science, or a similar domain
  • We are looking for candidates with 2+ years of experience in data analytics, consulting, or a related role
  • Experience working with funnel optimization, user segmentation, cohort analyses, time series analyses, regression models, etc
  • Expertise in SQL queries, ETL, A/B Testing, and statistical analysis (e.g., hypothesis testing, experimentation, regressions) with statistical packages, such as Matlab, R, SAS, or Python
  • Proficiency in one or more analytics & visualization tools (e.g., Chartio, Looker, Tableau).
  • Experience in building full-cycle analytics experiments, reports, and dashboards using SQL, R, Python, or other scripting and statistical tools
  • The insight to take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported way.
  • Outstanding analytical and problem-solving skills.
  • Always eager to learn and improve.
  • Strong interpersonal and writing skills.

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