Data Science and Machine Learning Senior Specialist Are you looking to work for a company that provides an innovative work environment, and your voice is heard? We have a position for a Data Science and Machine Learning Senior Specialist to work onsite at our client in Waterloo, ON (this is a direct hire position)
Who we are: LER TechForce is an industry leader in embedded controls, software, functional safety, and engineering talent. For over 20 years LER has been working with customers across North America to meet their engineering resource challenges. Learn more about us (3) LER TechForce: Life | LinkedIn
What you will be doing: Employees in this job function are responsible for predicting and/ or extracting meaningful trends/ patterns/ recommendations from raw data, leveraging data science methodologies including Machine Learning (ML), predictive modeling, math, statistics, advanced analytics, etc. Key Responsibilities:
- Understand business requirements and analyze datasets to determine suitable approaches to meet analytic business needs and support data-driven decision-making
- Design and implement data analysis and ML models, hypotheses, algorithms and experiments to support data driven decision-making
- Apply various analytics techniques like data mining, predictive modeling, prescriptive modeling, math, statistics, advanced analytics, machine learning models and algorithms, etc.; to analyze data and uncover meaningful patterns, relationships, and trends
- Design efficient data loading, data augmentation and data analysis techniques to enhance the accuracy and robustness of data science and machine learning models, including scalable models suitable for automation
- Research, study and stay updated in the domain of data science, machine learning, analytics tools and techniques etc.; and continuously identify avenues for enhancing analysis efficiency, accuracy and robustness
What you'll need to be successful: Essential: - Bachelor's Degree
- Senior Specialist Exp: 7+ experience in relevant field.
- Microsoft SQL Servers, ETL, Database Design, Statistics, GCP, Big Data, Big Query Roughly 5+ years for the above
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- DevOps experience in Cloud environment. (i.e. deploy data pipelines or data-intensive applications using containerization technologies to Cloud environment through IaC) Experience in Java/C# development Web application development experience is a plus
