Senior Data Scientist, Product

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

More than 150,000 legal professionals use Clio to run their legal practices. They come in all sizes, specializing in every field of law, and each one has unique needs. Clio solves many of their biggest problems out of the box, but every legal practice is different.

We are currently looking for a new Senior Data Scientist, Product, to join our Data Insights team and be embedded into one or more Product teams.

You thrive on both analytical challenges and working closely with product development and customer-facing professionals. You will collaborate with everyone from product managers to business leaders to designers and developers, and will guide rapid iterations of hypothesis, prioritization, experimentation / analysis and feature roll-out—helping to clarify what value our users want and need to thrive, and how well what we build meets those user needs.

The team:

Our Product Growth team is a cross-functional team dedicated to optimizing key product funnel metrics such as acquisition, activation, monetization, and virality. You will be working as an embedded data scientist on the Product Growth team, collaborating to guide rapid iterations of hypothesis, prioritization, experimentation, analysis and roll-out (supported by our Director of Data Insights and team of data scientists).

You may also support other Product teams, and will help build a scientific culture in our Product teams, help our business grow, and help our customers succeed.

Who you are:

We aren’t looking for just any traditional Data Scientist to join this team. We’re looking for someone who takes data seriously, thrives in a rapid-growth, high-velocity environment, and lives and breathes our values. We’re looking for an innovator and a thought leader! We’re looking for someone who is:

• Passionate about driving growth empirically;
• Always looking to innovate with data and explore open-ended questions;
• Strategically minded and never shies away from a challenge;
• Self-motivated and able to work autonomously and collaboratively;
• Agile and responsive, and comfortable with constant change.

You will help lay the foundation for this work by ensuring good data quality, data governance, and analytical practices. And you will also be part of our larger Data Insights team for learning, career development, and company-wide data initiatives.

Here’s what you’ll need to do:

• Collaborate with the Growth and Insights teams along with other Product teams to identify opportunities, develop hypotheses, and run experiments that drive growth.
• Identify new questions about our business, product, and customers that lead to impactful insights.
• Build predictive models to forecast the impact of specific growth and retention initiatives.
• Establish requirements and best practices for event tracking, testing frameworks, and other data collection to enable new product insights in a scalable and predictable way.
• Innovate new applications of statistical analysis, machine learning, and data mining to unlock opportunities in our products.
• Build a scientific culture in the Product team by enabling discussions with data, disseminating best practices, and leading by example.

You should have:

• 4+ years applied experience in data science.
• Have experience designing and iterating on experiments such as A/B tests.
• Experience in product analytics working with product and user behavior data, including retention or churn analysis.
• Proficiency in database modeling, SQL, and data warehousing principles.
• Proficiency in developing analysis in Python (and optionally R).
• Strong team player mindset, while able to work under your own initiative and prioritize time and tasks effectively.
• Excellent written and verbal communication skills.

Serious bonus points if you have:

• A deep understanding of SaaS business metrics and growth drivers.
• Experience with large data sets and / or user interaction data.
• Experience with SaaS companies and product growth teams.
• An undergraduate or graduate degree in a relevant quantitative discipline (computing science, statistics, mathematics, etc.) 
• Developer and data architecture expertise

Where your team works:

Clio is “distributed by design”. This means that Clio offers employees more choice: the opportunity to work from one of our hub offices across Canada, remotely, or a combination of both. We have invested in best-in-class tools, technology, and culture to ensure our team members are able to do their best work whether they prefer to work from an office or remotely.