The Data Scientist will support the Firm’s legal practices, Knowledge and other administrative departments in conducting deep data analysis, sourcing and structuring data, and developing data-driven solutions that add business value. The Data Scientist will work closely with others in the Data Analytics Group to create systematic solutions and conduct discrete analysis that help generate actionable insights and capitalize on the Firm’s digital assets.

The Data Scientist’s day-to-day work will include data extraction, data integration, feature engineering, model design and development, data visualization, solution deployment and points between. This position will require creative problem solving, analytical rigor, technical skill and an appreciation for the business and practice of law.

The Data Scientist will collaborate extensively across Firm functions (lawyers, IT, Finance, HR, Talent, etc.), requiring both good technical and interpersonal skills.

• Support legal teams and relevant operational staff in delivering on opportunities to use data to drive decision-making and improve the efficiency and effectiveness of the Firm’s client representations
• Collaborate with Firm functional departments (e.g., Finance, Talent, Business Development, IT) to analyze data and develop solutions to support operational objectives
• Conduct advanced quantitative research, using machine learning and natural language processing techniques to understand the patterns in large volumes of data, identify relationships, detect data anomalies and classify data
• Develop regression and classification models using established and emerging data science methodologies
• Deploy and operationalize predictive models and integrate findings into business processes
• Design and deploy highly visual reports and dashboards that surface quantitative insights in forms that are fit-for-purpose, modern and easily accessible
• Partner with the Firm’s Data Architect to refine data pipelines for recurring classes of analysis and data-driven solutions
• Provide input and feedback regarding the Firm’s taxonomies, metadata schemas, data collection methods and storage approaches
• Handle projects on request under the direction of the CKIO, Director of Data Analytics and other executive staff

• 3+ years of overall experience; 1+ year in a data science role strongly preferred
• Highly proficient with statistical software (e.g., Python, R) and database languages (e.g., SQL)
• Experience developing and validating linear and non-linear regression and classification models
• Experience using enterprise visualization tools, e.g. MS Power BI, Tableau
• Experience with data engineering, data science and visualization libraries preferred (e.g., pandas, scikit-learn, TensorFlow, matplotlib, Snorkel, Seaborn)
• Able to translate business problems to technical logic and practical solutions
• Able to communicate complex results clearly to a non-technical audience
• Proactively develops and maintains technical knowledge in emerging data science areas
• Experience in the legal field is a significant plus
• Familiarity with natural language processing and related libraries (e.g., Hugging Face, spaCy, NLTK, and CoreNLP) a plus

• A bachelor’s degree required, preferably in mathematics, statistics, computer science, engineering, finance or a related field

• Master’s degree in data science, computer science, statistics or engineering preferred
• Prior coursework in machine learning, natural language processing or computational linguistics a significant plus