1872 Consulting
Data Scientist
Chicago, IL (3 days/week onsite in the loop; 2 days WFH)
Summary
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. This person 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.
What you'll be doing
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
Skills we're seeking Bachelor's Degree is required, Master's Degree preferred, ideally in an area of Data Science, Computer Science, Math or Statistics
5+ years of experience in a Data Science, Client or Data Engineering role Must have at least 2 years of experience with predictive analytics
Must have strong Python experience, and experience with the PyData stack, ideally with Pandas
Proven experience developing and validating linear and non-linear regression and classification models
Must have strong SQL experience
Nice to haves Experience with Data Science/Client in regulated environments
Experience working in Azure environments
Experience with Snowflake
Experience with Informatica
#J-18808-Ljbffr
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
Skills we're seeking Bachelor's Degree is required, Master's Degree preferred, ideally in an area of Data Science, Computer Science, Math or Statistics
5+ years of experience in a Data Science, Client or Data Engineering role Must have at least 2 years of experience with predictive analytics
Must have strong Python experience, and experience with the PyData stack, ideally with Pandas
Proven experience developing and validating linear and non-linear regression and classification models
Must have strong SQL experience
Nice to haves Experience with Data Science/Client in regulated environments
Experience working in Azure environments
Experience with Snowflake
Experience with Informatica
#J-18808-Ljbffr