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.