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Responsibilities:
- Collect, clean, and preprocess large datasets from multiple sources.
- Perform exploratory data analysis to identify trends, patterns, and correlations.
- Develop predictive models and machine learning algorithms to solve business problems.
- Evaluate model performance and refine algorithms to improve accuracy and efficiency.
- Collaborate with stakeholders to understand business requirements and translate them into data science projects.
- Communicate findings and insights to non-technical stakeholders through visualizations, reports, and presentations.
- Stay up-to-date with the latest advancements in data science, machine learning, and AI technologies.
- Mentor junior team members and provide guidance on best practices and methodologies.
Requirements:
- Batchelor's, Master's or Ph.D. degree in Computer Science, Statistics, Mathematics, or related field.
- Proven experience as a Data Scientist or similar role in a corporate or research environment.
- Proficiency in programming languages such as Python or R for data analysis and machine learning.
- Strong understanding of statistical methods and machine learning algorithms.
- Experience with data visualization tools such as Matplotlib, Seaborn, or Tableau.
- Familiarity with big data technologies and tools (e.g., Hadoop, Spark, SQL).
- Solid understanding of data preprocessing, feature engineering, and model evaluation techniques.
- Excellent problem-solving skills and attention to detail.
Please note that we are recruiting for positions on behalf of our client, specializing in the engineering and IT sector. This role is not directly with avua.
Key Skills
Ranked by relevance
machine learning
data analysis
data visualization
matplotlib
big data
seaborn
python
hadoop
spark
ai
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- Posted
- Jan 23, 2025
- Type
- Full-time
- Level
- Not Applicable
- Location
- Canada
- Company
- avua
Industries
Technology
Information
Internet
Categories
Engineering
Information Technology
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3 roles aligned with this opportunity
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