SmartSkin Technologies provides manufacturing optimization solutions globally to the food, beverage, & pharmaceutical sectors. Smart Skin serves 18 of the top 20 pharmaceutical companies in the world and 6 of the 7 major beverage brands with its patented and award-winning Quantifeel sensor and software solutions. While most of our engineering and production activities are undertaken in New Brunswick, Canada, our global presence is increasing with team members located in major centers in North America and Europe.

Smart Skin is seeking a dynamic and experienced Data Scientist to join our team and play a key role in discovering valuable insights from large datasets and enhancing our product offerings with high-quality prediction and detection systems.

As SmartSkins Data Scientist you will:

• Utilize advanced statistical and machine learning techniques, including deep learning and clustering algorithms, to uncover hidden patterns in data
• Develop innovative data mining strategies and leverage industry-leading approaches to enhance our data analysis capabilities
• Integrate third-party data sources to enrich our existing datasets and drive more informed decisions
• Optimize and engineer feature selection and build robust classifiers to build new and improve existing prediction systems
• Implement and automate anomaly detection systems, continuously monitoring and enhancing their performance
• Collaborate with cross-functional teams to communicate findings and ensure data integrity and accuracy
• Perform Ad-hoc analyses, visualizations and reports

Our ideal candidate has:

• 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

Please apply online at smartskintech.com/careers for this opportunity. We appreciate your interest in our company! Only those candidates selected for an interview will be contacted.

To learn more about Smart Skin Technologies, please click here.