Data Scientist

Talentify; Chicago (IL); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Talentify is seeking a Data Scientist in Chicago, IL, combining statistics, ML and large language models to build data-driven solutions. You will turn diverse datasets into actionable insights and work with legal teams to translate questions into data-enabled answers.

Responsibilities include model development, data preprocessing, and building dashboards to communicate findings to stakeholders. A strong background in predictive analytics and PyData stack is essential.

Qualifications

• Bachelor's degree required; Master's preferred in Data Science, CS, Math or Statistics.
• 5+ years in Data Science, Client or Data Engineering role; at least 2 years in predictive analytics.

Responsibilities

• 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 assess model quality; validate and iterate.
• Clean, preprocess and transform raw data into a usable format, ensuring data quality and integrity.
• Develop predictive data models to forecast outcomes and optimize strategies.
• Create informative data visualizations and dashboards for stakeholders.
• Collaborate with business stakeholders and legal experts to translate data needs into solutions.
• Develop classification and regression models leveraging established data science methodologies.
• Analyze structured and unstructured data sources.
• Design and automate dataset analysis and insight delivery processes.
• Contribute to firm data strategy including collection, storage and privacy practices.

Skills

Data Science

Python

SQL

Pandas

Predictive analytics

Model development

Regression models

Classification models

Education

Bachelor's Degree

Master's Degree preferred

Tools

Azure

Snowflake

Informatica

PyData stack

Job description

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