L4 Data Management
Toronto, ON, CA, M5J 2V5 Vancouver, BC, CA Calgary, AB, CA Montréal, QC, CA
Description
Our team and what we’ll accomplish together:
Our TELUS Advanced Data and Analytics team is seeking an experienced and accomplished Senior Data Scientist to join our team. The ideal candidate has a deep understanding of data analysis, Cloud engineering, machine learning, and statistical modeling, along with a proven track record of delivering impactful insights and solutions.
Responsibilities:
- Collaborate with stakeholders to understand the business requirements and translate them into actionable data-driven solutions
- Manage the comprehensive development and ongoing maintenance of machine learning initiatives aimed at preventing customer churn, segmenting customers, and targeting prospects and new customers
- Analyze the performance of marketing campaigns and identify areas for improvement. By leveraging data insights, optimize campaign targeting, to maximize ROI and achieve marketing objectives
- Design and analyze A/B tests to evaluate the effectiveness of different marketing strategies, messages, or designs. In order to make data-driven decisions and continuously improve marketing efforts
- Act as a translator, effectively communicating between the business and data science team to ensure alignment and understanding of business needs, pain points, opportunities of improvements and objectives
- Design and implement advanced machine learning models and algorithms to analyze large datasets and identify patterns and trends in customer behavior
- Conduct thorough data analysis and experimentation to validate and optimize the performance of machine learning models
- Develop and deploy scalable and efficient machine learning pipelines and workflows
- Collaborate with data engineers and software developers to integrate machine learning models into production systems
- Present findings and insights to both technical and non-technical stakeholders in a clear and concise manner
- Mentor and provide guidance to junior data scientists and team members
Qualifications
- Master's or Ph.D. degree in Computer Science, Statistics, Mathematics, or a related field
- Proven experience 3+ years in developing and implementing machine learning models and algorithms for real-world applications
- Strong programming skills in Python and experience with popular machine learning libraries such as TensorFlow, PyTorch and scikit-learn
- Solid understanding of statistical analysis, data mining, predictive modeling and Natural Language Processing techniques
- Strong experience with data preprocessing, feature engineering, and dimensionality reduction techniques
- Proficiency in Google cloud platform and distributed computing frameworks, Oracle, SQL and working with relational databases
- Strong problem-solving skills and the ability to think critically and analytically
- Excellent communication and presentation skills, with the ability to effectively communicate complex concepts to diverse stakeholders
- Experience in leading and mentoring a team of data scientists is a plus
Join our team and contribute to the development of cutting-edge machine learning projects that will drive customer retention, segmentation, and sales increase. Apply now and be part of our data-driven journey towards success!
Please note that the qualifications and responsibilities mentioned above are just a guideline and can be adjusted based on the specific requirements of your organization.