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HomeCompaniesCareers Foley Icims ComData Science Engineer

Data Science Engineer

Careers Foley Icims Com · Milwaukee, WI, US · Active · $77,500–$108,500 / year · iCIMS

Job facts

FieldValue
CompanyCareers Foley Icims Com
TitleData Science Engineer
Normalized title-
Department / teamInformation Technology/Security
LocationMilwaukee, WI, United States
Work model-
Employment typeFull Time
Salary$77,500–$108,500 / year
Statusactive
ATS provideriCIMS
Posted / first seen2024-06-06 / 2026-05-31
Changed / last seen2026-06-06 / 2026-06-06

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PageWhat it containsOpen
Company jobsActive postings from Careers Foley Icims Com.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through iCIMS.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Milwaukee.Open
Department jobsActive postings in Information Technology/Security.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyCareers Foley Icims Com
Sourcecc7ba907-0498-4ee0-883f-1a2a86b99f24
ATS provideriCIMS

Description

Overview Foley & Lardner LLP is a great place to work because of what we do and how we do it. Here, your unique perspectives, experiences, and abilities will be embraced and developed, so you can excel. Being a part of Foley means having the opportunities and resources necessary to gain experience, advance professional goals, and forge meaningful connections. It’s a place where you can build your career and enjoy professionally satisfying work. We have over 2,300 people who are #HappyatFoley, and we think you will be too. 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 one (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 In support of transparency and equity in the workplace, Foley provides salary ranges for all positions. The figures below represent the full compensation range of this position. The actual offered amount will be between the range minimum and midpoint based on the following factors: education, experience, geographic market, and internal pay equity at Foley.-Milwaukee - $77,500 to $108,500

Full job record

Job ID6cf3314927106fa45a19a5c2971e686821839e4e
Org ID4bbccba5-e0c1-4edd-a024-73d15654cff7
Source IDcc7ba907-0498-4ee0-883f-1a2a86b99f24
Board IDcc7ba907-0498-4ee0-883f-1a2a86b99f24
Providericims
Provider Job Key3500
TitleData Science Engineer
Normalized Title
Statusactive
Activeyes
Location TextMilwaukee, WI, US
DepartmentInformation Technology/Security
Team
Employment Typefull_time
Workplace Type
Remote Policy
CountryUnited States
RegionWI
CityMilwaukee
Salary RawOverview Foley & Lardner LLP is a great place to work because of what we do and how we do it. Here, your unique perspectives, experiences, and abilities will be embraced and developed, so you can excel. Being a part of Foley means having the opportunities and resources necessary to gain experience, advance professional goals, and forge meaningful connections. It’s a place where you can build your career and enjoy professionally satisfying work. We have over 2,300 people who are #HappyatFoley, and we think you will be too. 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 one (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 In support of transparency and equity in the workplace, Foley provides salary ranges for all positions. The figures below represent the full compensation range of this position. The actual offered amount will be between the range minimum and midpoint based on the following factors: education, experience, geographic market, and internal pay equity at Foley.-Milwaukee - $77,500 to $108,500
Salary Min77,500
Salary Max108,500
Salary CurrencyUSD
Salary Periodyear
Source URLhttps://careers-foley.icims.com/jobs/3500/data-science-engineer/job
Apply URLhttps://careers-foley.icims.com/jobs/3500/data-science-engineer/job
First Seen At2026-05-31 18:47:53Z
Last Seen At2026-06-06 08:35:31Z
Last Checked At2026-06-06 08:35:31Z
Last Changed At2026-06-06 08:35:31Z
Inactive At
Source Posted At2024-06-06 08:35:30Z
Source Updated At2026-06-04 16:00:46Z
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Parsed Structured
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Extensions
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Native Structured
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