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Senior Statistical Analyst

1 week ago

Fredericton, New Brunswick, Canada INVESTIIR Full time

SmartSkin Technologies Overview

We provide cutting-edge manufacturing optimization solutions globally to the food, beverage, and pharmaceutical sectors.

We serve 18 of the top 20 pharmaceutical companies in the world and 6 of the 7 major beverage brands with our patented and award-winning Quantifeel sensor and software solutions.

Data Scientist Job Description

This is an exciting opportunity for a dynamic and experienced Data Scientist to join our team and contribute to the discovery of valuable insights from large datasets.

You will be responsible for utilizing advanced statistical and machine learning techniques, including deep learning and clustering algorithms, to uncover hidden patterns in data.

Key responsibilities include:

  • Developing innovative data mining strategies and leveraging industry-leading approaches to enhance our data analysis capabilities
  • Integrating third-party data sources to enrich our existing datasets and drive more informed decisions
  • Optimizing and engineering feature selection and build robust classifiers to build new and improve existing prediction systems
  • Implementing and automating anomaly detection systems, continuously monitoring and enhancing their performance
  • Collaborating with cross-functional teams to communicate findings and ensure data integrity and accuracy

Requirements

To succeed in this role, you should have:

  • Background in Data Science, Science, Statistics, Mathematics, Engineering, Physics, Computer Science or related field
  • 3+ years of experience in data science, or a related scientific, development or statistical role, with a proven track record applying machine learning techniques
  • Proficiency in cloud computing and experience with data pipelines in AWS, GCP, or Azure environments
  • Strong knowledge of machine learning algorithms and methodologies like feature engineering, CRISP(ML)Q, and deep learning
  • Familiarity with data science toolkits like R, scikit-learn/NumPy, and associated programming languages for data analysis
  • Experience with data visualization tools and querying languages (SQL, NoSQL)
  • Working knowledge of NoSQL databases like MongoDB, Cassandra, DynamoDB, and others.
  • Excellent communication skills with the ability to present complex data insights in a clear and concise manner