Director of Data Science, Clio

• Graduate degree in Computer Science, Engineering, Statistics or a related field
• 10+ years extensive experience building and scaling a data science function in a high-growth environment
• 10+ years extensive experience managing data, analytics, and engineering teams with 10+ direct and indirect reports
• 15+ years extensive hands-on experience with a wide range of data science and machine learning techniques, including classification, regression, time series forecasting, natural language processing, and unsupervised learning
• Experience reporting and presenting to senior business stakeholders
• Experience leading go-to-market initiatives and partnering with product development teams
• Experience with putting data science solutions in production and maintaining them
• Strong storytelling skills with the ability to coach and teach best practices, and to explain technical analyses to non-technical audiences

Desirable

• Reporting to Senior Director, Head of Data & Analytics, you will be responsible to build predictive and prescriptive solutions to enhance Clio’s operations in marketing, sales, post-sales, and product development
• In this role, you will partner with senior business leaders across go-to-market and product teams to identify opportunities for predictive and prescriptive data-driven solutions
• You will lead development of advanced analytics and machine learning solutions for revenue forecasting, churn and cross-sell propensity modeling, pricing optimization, sentiment analysis, to name a few, and establish best practices for building modular reusable assets, to enable timely, robust, and rigorous analyses
• You will mentor data science teams and collaborate with cross-functional stakeholders to deploy these solutions in practice and achieve the business impact
• Your mission is to build the centre of excellence for data science, and to partner with senior leaders across Clio to make reliable, timely, and effective data-driven decisions!
• Define and implement Clio’s data science strategy that aligns with Clio’s business objectives, including revenue growth, customer retention, and operational efficiency
• Establish an impact-driven prioritization framework and a comprehensive data science roadmap, with clear business cases for all initiatives
• Lead, manage, mentor, and grow a team of data scientists, and establish clear technical and professional development plans
• Foster strong collaboration across the Data & Analytics org, including with data modeling, business intelligence, data engineering, and operations analytics teams
• Partner with product teams to embed predictive and prescriptive analytics to improve customer experience and product adoption
• Be an active participant and contributor on the Business Operations Leadership Team and Extended Leadership Team (comprised of senior leaders Director+)
• Expand existing data science models to analyze customer behavior and predict their needs, interest, and readiness, and enable go to market teams to tailor their strategies
• Deploy machine learning models in production, ensuring scalability, reliability, and continuous monitoring of their performance
• Keep up-to-date with the latest developments in AI, and establish Clio as a thought leader in reusable data and analytics solutions, actively implementing and contributing to industry best practices
• Serve as a strategic voice and partner for senior leaders and executives, including educating the business on best practices and path to implement repeatable analytics and reporting