The Data Scientist position is an integral part of the Data Program team that is responsible for developing and implementing data driven solutions that drive efficiency, improve decision making and provide valuable insights across various administrative business groups and legal practices. The incumbent will use a mix of statistics, machine learning and large language models to create systems and build models that capitalize on both structured and unstructured data.

The role will work closely with the appropriate stakeholders to understand their questions and use tools and frameworks to turn disparate data sets into objective answers that help make informed decisions.

Utilize statistical analysis and machine learning techniques to extract meaningful insights from large datasets related to legal cases, client behavior and market trends
• Architect, develop and deploy models and algorithms using proprietary data to access model quality. Validate and iterate on the models created
• Clean, preprocess and transform raw data into a usable format, ensuring data quality and integrity
• Develop predictive data models to forecast outcomes, identify potential risks and optimize strategies
• Create informative data visualizations and dashboards to present complex data in a clear and actionable manner to stakeholders
• Collaborate with business stakeholders and legal experts to understand their data needs and translate them into valuable solutions
• Develop classification and regression models leveraging established and emerging data science methodologies.
• Analyze structured and unstructured data sources
• Design and automate our dataset analysis and insight delivery process to enable effective management of a broader range of data types and increased data flow
• Contribute to the development of the firm's data strategy, including but not limited to, data collection, storage and privacy practices
• Stay updated with the latest trends in data science, legal technology, and relevant tools to enhance our data capabilities
• Enhance documentation procedures, codebase, and adherence to best practices to promote and facilitate knowledge sharing and ensure the upkeep of an organized and reproducible working environment

To perform this job successfully, an individual must be able to perform the Duties and Responsibilities (Duties) above satisfactorily and meet the requirements below. The requirements listed below are representative of the minimum knowledge, skill, and/or ability required. Reasonable accommodations will be made to enable individuals with disabilities to perform the essential functions of the job. If you need such an accommodation, please email staffrecruiting@sidley.com (current employees should contact Human Resources).

Education and/or Experience:

Required:

• Bachelor's Degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or related field
• A minimum of 5 years of experience in data science or machine learning engineering role
• Proven experience developing and validating linear and non-linear regression and classification models
• Experience with data transformation, data science and visualization libraries (JavaScript Highcharts, Python Matplotlib, Pandas), statistical modeling
• Proficiency in SQL and other programming languages like Python
• Ensure our data efforts are aligned with our overall Security and Risk guidelines and protect our client and firm data from unauthorized access or use
• Demonstrated ability to communicate complex solutions to a non-technical audience

Preferred:

• Master's Degree in Data Science, Computer Science, Engineering, or related field
• Experience working in Microsoft Azure cloud and Windows environments
• Experience with distributed computing
• Experience working with legal industry data

Other Skills and Abilities:

The following will also be required of the successful candidate:

• Strong organizational skills
• Strong attention to detail
• Good judgment
• Strong interpersonal communication skills
• Strong analytical and problem-solving skills
• Able to work harmoniously and effectively with others
• Able to preserve confidentiality and exercise discretion
• Able to work under pressure
• Able to manage multiple projects with competing deadlines and priorities

Sidley Austin LLP is an Equal Opportunity Employer