Clio is more than just a tech company–we are a global leader that is transforming the legal experience for all by bettering the lives of legal professionals while increasing access to justice.

Summary:

Imagine being the Director, Data Science at Clio, the legal software company that is on a mission to revolutionize the legal experience for everyone. 

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!

What you’ll work on: 

• 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

About you:

• 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

Bonus points for:

• High lev