TELUS Agriculture & Consumer Goods is seeking an experienced professional in data science to join our team. You will focus on understanding customers to predict their needs and behavior, developing models through an iterative approach to forecast customer demand.
What You'll Do
- Develop and implement ML & AI and Big Data solutions including predictive modelling and customer impact assessments.
- Execute, oversee, and evolve models and algorithms selection to deliver relevant solutions that facilitate decision making.
- Build and maintain a robust interlock with key stakeholders to understand business needs and priorities.
- Identify opportunities for process/model optimization and refine to improve effectiveness/accuracy and enhance ROI.
- Collaborate with Data Scientists and Data Engineers within TELUS as well as external Data Science communities.
What We're Looking For
- Recognized for addressing business needs via application of data mining and analysis, predictive modeling, statistics, and other advanced analytical techniques.
- Sought out for skills in Machine Learning, Regression, Classification, Clustering, Segmentation, Time Series Analysis, Demand Forecasting and Optimization.
- Experience developing in Python; comfortable using various data science libraries such as Scikit-learn, Pandas, Numpy as well as frameworks like Pytorch or Keras.
- Comfortable with Jupyter environment and infrastructure.
- Proficiency with SQL.
- Experience with at least one of the major cloud computing platforms - GCP, AWS, Azure.
- Well versed in software development lifecycle and ML Ops concepts.
Nice to Have
- Degree in a quantitative field such as Math, Statistics, Computer Science, Economics, or Data Science.
- Data visualization experience: Data Studio, Tableau, PowerBI.
- Data environments experience: MS SQL, Oracle.
- Experience with Virtual machines, BigQuery and other Google Cloud Platform services.
- Experience with agile methodology and team-based software development workflows (e.g. JIRA).
Technical Stack
- Languages & Libraries: Python, Scikit-learn, Pandas, Numpy, Pytorch, Keras
- Tools & Environments: Jupyter, SQL
- Cloud Platforms: GCP, AWS, Azure
- Visualization: Data Studio, Tableau, PowerBI
- Data Environments: MS SQL, Oracle, BigQuery
TELUS Agriculture & Consumer Goods is an equal opportunity employer.
