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- Lead and drive the execution of data science projects including predictive modeling, natural language processing.
- Apply mathematical, problem-solving, and coding skills to manage big data, extracting valuable insights.
- Use data mining or extracting tools to find usable data from valuable data sources.
- Make use of machine learning tools to select features, create and optimize data classifiers.
- Perform preprocessing of structured and unstructured data.
- Assist 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
- Setting and managing project milestones and dates
- Performs other related duties as assigned
- Provides guidance and best practice advice to data science interns
- Bachelor's Degree required; Masters degree in Data Science, Computer Science, Software Engineering or similar related field of study desirable
- Minimum of 1 year of relevant technology experience
- Working knowledge of software development and scripting languages such as Python, C#, .Net, JavaScript, HTML required
- Experience with Visual Studio, Dev Ops, Visio desired
- Experience with data analysis and reporting strongly desired
- Knowledge of SQL and data mining tools strongly desired
- Strong written and verbal communication and customer service skills, along with experience using advanced tools for effective communication
Data Science Engineer - Milwaukee, United States - Foley & Lardner
Description
Overview:
Foley & Lardner LLP is currently seeking a Data Science Engineer to join our Business Processes and Solutions 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: