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Graduate Data Scientist

WhatJobs Direct

Winnipeg · On-site Internship Entry Level 4d ago

About the role

About

Our client is looking for an enthusiastic and bright Graduate Data Scientist to join their innovative team in Winnipeg, Manitoba, CA. This is an excellent opportunity for a recent graduate to kick‑start their career in a data‑driven environment, contributing to impactful projects and learning from experienced professionals. The successful candidate will work closely with senior data scientists and analysts to develop and implement data models, conduct statistical analysis, and extract meaningful insights from large datasets.

Responsibilities

  • Data collection, cleaning, and preprocessing from various sources.
  • Assist in building and testing predictive models, machine learning algorithms, and data visualizations.
  • Identify trends, patterns, and correlations within data to support business decision‑making.
  • Generate reports and presentations to communicate findings to stakeholders in a clear and concise manner.
  • Collaborate with cross‑functional teams to understand business requirements and translate them into data science solutions.

Requirements

  • Strong academic background in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
  • Proficiency in programming languages such as Python or R, with experience in relevant libraries (e.g., Pandas, NumPy, Scikit‑learn, TensorFlow, PyTorch).
  • Familiarity with SQL and database management.
  • Solid understanding of statistical modeling, machine learning techniques, and data mining principles.
  • Excellent problem‑solving skills, analytical thinking, and a keen eye for detail.
  • Prior internship or project experience in data science is a significant advantage.
  • Ability to work collaboratively in a team environment and strong communication skills.

Location

Based at the client’s office in Winnipeg, Manitoba, CA, offering hands‑on experience and mentorship in a supportive setting.

Requirements

  • Strong academic background in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
  • Proficiency in programming languages such as Python or R, along with experience in relevant libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
  • Familiarity with SQL and database management.
  • Solid understanding of statistical modeling, machine learning techniques, and data mining principles.
  • Excellent problem-solving skills, analytical thinking, and a keen eye for detail.
  • Ability to work collaboratively in a team environment.
  • Strong communication skills.

Responsibilities

  • Data collection, cleaning, and preprocessing from various sources.
  • Assist in building and testing predictive models, machine learning algorithms, and data visualizations.
  • Identifying trends, patterns, and correlations within data to support business decision-making.
  • Generating reports and presentations to communicate findings to stakeholders in a clear and concise manner.
  • Collaboration with cross-functional teams to understand business requirements and translate them into data science solutions.

Skills

NumPyPandasPythonRScikit-learnSQLTensorFlowPyTorch

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