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
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.

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.

Comprehensive total rewards package highlighting competitive salary and bonus structures
Minimum 3 weeks of vacation
Flexible benefits plan to meet the needs of you and your family
Flexibility to work in-office, virtually or a combination of both
Generous company matched pension and share purchase programs
Opportunity to give back to communities in which we work, live and serve
Career growth and learning & development opportunities to develop your skills
And much more …

Senior Data Scientist

Key skills