Foley & Lardner

Data Science Engineer

Foley & Lardner • $90K — $120K *
Milwaukee, WI 53215In-Person
Information Technology
Less than 5 years of experience
5 days ago
Job Overview by Ladders

Qualifications

  • Bachelor's degree required; Master's degree in Data Science, Computer Science, Software Engineering, or similar preferred
  • Minimum 1 year of relevant technology experience
  • Working knowledge of software development and scripting languages (e.g., Python, C#, JavaScript)
  • Ability to program independently without large language models
  • Proficient in using language models with effective prompting techniques
  • Familiarity with core Python packages for machine learning (e.g., Pandas, scikit-learn, PyTorch)
  • Experience in developing applied AI applications using various toolsets
  • Basic understanding of cloud environment integration (e.g., Azure, AWS)
  • Office 365 proficiency
  • Experience with data analysis, reporting, and DevOps-related tasks

Responsibilities

  • Leads data science projects, focusing on predictive modeling and natural language processing
  • Executes data management tasks, extracting insights from big data using mathematical and coding skills
  • Utilizes data mining tools to identify and leverage valuable data sources
  • Employs machine learning techniques to refine and optimize data classification models
  • Handles preprocessing of both structured and unstructured data
  • Participates in the development and maintenance of legal data taxonomy
  • Works with leadership to align data utilization strategies with firm objectives
  • Collaborates on best practices for data science initiatives and project milestones

Benefits

  • Professional development opportunities
  • Collaborative work environment
  • Exposure to diverse data science projects
  • Potential for career advancement within the firm
  • Access to advanced data management tools and technologies
Full Job Description
Overview

Foley & Lardner LLP is currently seeking a Data Science Engineer to join our Business Systems and Data Science team. The right candidate will be responsible for all aspects of selected data science (including Data Mining, AI, Machine Learning) related Technology initiatives for the firm, from proposal and requirements definition to project planning and implementation, working with both the requesting party and Technology team using a variety of tools. This position requires comprehensive knowledge of formal project skills and will provide a proactive interface between internal clients and the Technology team to ensure effective definition of a delivery of data science initiatives.

Responsibilities

  • Leads and drives the execution of data science projects including predictive modeling, natural language processing.
  • Applies mathematical, problem-solving, and coding skills to manage big data, extracting valuable insights.
  • Uses data mining or extracting tools to find usable data from valuable data sources.
  • Makes use of machine learning tools to select features, create and optimize data classifiers.
  • Performs preprocessing of structured and unstructured data.
  • Assists with Data taxonomy development and maintain our taxonomy for legal data (e.g., taxonomy clean up, SALI Taxonomy implementation).
  • Collaborates with firm leadership to identify strategic goals related to data utilization and implement data strategy components in collaboration with Business Intelligence.
  • Collaborates with Knowledge Management, Business Intelligence and Competitive Intelligence to identify strategic goals related to legal team data utilization.
  • Helps to develop strategies for best practices on data science projects
  • Sets and manages project milestones and dates
  • Performs other related duties as assigned
  • Provides guidance and best practice advice to data science interns


Qualifications

  • Bachelor's Degree required; Master's degree in Data Science, Computer Science, Software Engineering or similar related field of study desirable
  • Minimum of 1 year of relevant technology experience required
  • Working knowledge of software development and scripting languages such as Python, C#, JavaScript, HTML
  • Ability to program un-assisted by LLMs if needed
  • Proficient with prompting and working with LLMs
  • Working knowledge with core Python packages used for machine learning such as Pandas, scikit-learn, PyTorch, MLflow, matplotlib, and numpy
  • Knowledge of developing applied AI applications with packages such as langchain or through custom LLM app pipelines
  • Basic understanding of developing within or integrating with cloud environments such as Azure or AWS
  • Office 365 application proficiency (Outlook, Word, Excel, PowerPoint and Teams)
  • Experience with data analysis and reporting
  • Experience with Dev Ops
  • Knowledge of SQL and data mining tools
  • Strong written and verbal communication and customer service skills, along with experience using advanced tools for effective communication
  • Must be able to work independently and in a team environment to prioritize and perform multiple duties simultaneously while maintaining superior attention to detail, accuracy, and organization


TBD

About Foley & Lardner

Foley & Lardner is a law firm that provides legal services to clients in a variety of industries, including healthcare, energy, and technology. The firm was founded in 1842 and is headquartered in Milwaukee, Wisconsin. Foley & Lardner offers a range of legal services, including corporate law, intellectual property law, and litigation. The firm has offices in the United States, Europe, and Asia, and serves clients around the world. Foley & Lardner is known for its expertise in healthcare law, and has been recognized as one of the top healthcare law firms in the United States.
Learn more about Foley & Lardner
Size
1,000 employees
Industry
Legal & Accounting
Net Income
$200 million
5 Year Trend
+5%
Revenue
$836 million
NASDAQ
* Ladders Estimates

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