Senior Data Scientist, Clio

• You thrive on both analytical challenges and working closely with product development and customer-facing professionals
• 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
• 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
• 5+ years applied experience in data science
• Experience in analytics working with product and user behavior data, e.g., retention or churn analysis
• The ability to translate business requirements into data science solutions
• Proficiency in database modeling, SQL, and data warehousing principles
• Proficiency in developing analysis in Python and experience with relevant ML libraries and frameworks (e.g., pandas, PyTorch, scikit-learn)
• Proficiency with building ML/AI pipelines and relevant tools (e.g., Kedro, MLFLow)
• Strong team player mindset, while able to work under your own initiative and prioritize time and tasks effectively
• Excellent written and verbal communication skills

Desirable

• We are currently looking for a new Senior Data Scientist, to join our Data Insights team and work closely with Clio’s products and business teams
• You will collaborate with everyone from product managers to business leaders and developers, and will guide rapid iterations of hypothesis, prioritization, experimentation / analysis and strategy setting – extract valuable insights, enhance our decision-making processes and contribute to the development of innovative financial products
• You will be working alongside a cross-functional team of data scientists, embedded within Clio’s products and business teams, developing AI and ML solutions to understand Clio’s customers, to bring them cutting-edge AI and GenAI products, and to recommend proactive and efficient ways to serve them better
• You will play an integral role, enabling business leaders across Clio make rigorous data-driven decisions
• You will help our business grow, help our customers succeed, and continuously improve the way we operate
• 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 & AI team for learning, career development, and company-wide data initiatives
• Collaborate with the Clio products teams to identify opportunities, develop hypotheses, and provide input that drive growth
• Identify new questions about our business, product, and customers that lead to impactful insights
• Build predictive and prescriptive AI and ML solutions and deploy them in production
• Apply rigorous statistical analysis and data mining techniques to evaluate impact of different product features and other business initiatives
• Innovate and experiment with new applications of statistical analysis, machine learning, GenAI, LLMs, etc. to unlock new product opportunities
• Build a scientific culture in product and business teams by enabling discussions with data, disseminating best practices, and leading by example
• Effectively communicate complex technical concepts and findings to both technical and non-technical audiences