Data Scientist jobs in Chicago, IL

Data Scientist identifies trends, patterns, and anomalies found in big data sets by performing extensive data analysis to develop insights. Performs data mining, cleaning, and aggregation processes to prepare data, implement data models, conduct analysis, and develop databases. Being a Data Scientist interprets results from multiple structured and unstructured data sources using programming, statistical, and analytical techniques and tools. Collaborates with teams to understand each data analysis projects' underlying purpose, focus, and objectives. Additionally, Data Scientist designs, develops, and implements the most valuable data-driven solutions for the organization. May require a master's degree in computer science, mathematics, engineering or equivalent. Typically reports to a manager. The Data Scientist work is closely managed. Works on projects/matters of limited complexity in a support role. To be a Data Scientist typically requires 0-2 years of related experience. (Copyright 2024 Salary.com)

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Data Scientist
  • Sidley Austin LLP
  • Chicago, IL OTHER
  • 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. The incumbent 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.

    Duties and 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 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

    Qualifications

    To perform this job successfully, an individual must be able to perform the Duties and Responsibilities (Duties) above satisfactorily and meet the requirements below. The requirements listed below are representative of the minimum knowledge, skill, and/or ability required. Reasonable accommodations will be made to enable individuals with disabilities to perform the essential functions of the job. If you need such an accommodation, please email staffrecruiting@sidley.com (current employees should contact Human Resources). 

     

    Education and/or Experience: 

    Required:

    • Bachelor’s Degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or related field
    • A minimum of 5 years of experience in data science or machine learning engineering role
    • Proven experience developing and validating linear and non-linear regression and classification models
    • Experience with data transformation, data science and visualization libraries (JavaScript Highcharts, Python Matplotlib, Pandas), statistical modeling
    • Proficiency in SQL and other programming languages like Python
    • Ensure our data efforts are aligned with our overall Security and Risk guidelines and protect our client and firm data from unauthorized access or use
    • Demonstrated ability to communicate complex solutions to a non-technical audience

    Preferred:

    • Master’s Degree in Data Science, Computer Science, Engineering, or related field
    • Experience working in Microsoft Azure cloud and Windows environments
    • Experience with distributed computing
    • Experience working with legal industry data

     

    Other Skills and Abilities:

    The following will also be required of the successful candidate:

    • Strong organizational skills
    • Strong attention to detail
    • Good judgment
    • Strong interpersonal communication skills
    • Strong analytical and problem-solving skills
    • Able to work harmoniously and effectively with others
    • Able to preserve confidentiality and exercise discretion
    • Able to work under pressure
    • Able to manage multiple projects with competing deadlines and priorities

    Sidley Austin LLP is an Equal Opportunity/Affirmative Action Employer

  • 20 Days Ago

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Data Scientist
  • Reyes Holdings
  • Rosemont, IL FULL_TIME
  • Overview Come join the largest beer distributor in the United States and be a part of our Performance Promise where we live out our company’s purpose of connecting customers, consumers and brands ever...
  • 20 Days Ago

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Data Scientist
  • The University of Chicago Medicine
  • Chicago, IL OTHER
  • Job Description Join one of the nation’s most comprehensive academic medical centers, UChicago Medicine, as a Data Scientist. This is a remote, work from home opportunity and you may be based outside ...
  • 20 Days Ago

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Data Scientist
  • TalentFish LLC
  • Lincolnshire, IL CONTRACTOR,FULL_TIME
  • Job Title: Lead Data Scientist Primary Location: Chicago Area, IL Position Type: Contract to hire Overview We are searching for a Direct hire or Contract to hire Lead Data Scientist to support our Glo...
  • 21 Days Ago

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Data Scientist
  • Genesis Corp./New Journey AI LLC
  • Lisle, IL FULL_TIME,CONTRACTOR,TEMPORARY
  • Genesis10 is currently seeking a Data Scientist with our client in the manufacturing industry in their Lisle, IL location. Onsite role. Responsibilities As a data scientist, you will leverage cutting-...
  • 1 Month Ago

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Data Scientist
  • Loyola University Health System
  • Maywood, IL FULL_TIME
  • Employment Type: Full time Shift: Day Shift Description: Great opportunity for a Data Scientist to work in an organization that focuses on treating the whole person, physically, emotionally and spirit...
  • 3 Days Ago

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0 Data Scientist jobs found in Chicago, IL area

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Data Scientist
  • Scalesology
  • Chicago, IL
  • Scalesology is a growing consulting company that helps businesses scale their data processes and technology, working wit...
  • 3/28/2024 12:00:00 AM

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Senior Data Scientist
  • Grubhub
  • Chicago, IL
  • Hey! We’re Grubhub We’re all about connecting hungry diners with our network of over 300,000 restaurants nationwide. Inn...
  • 3/28/2024 12:00:00 AM

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Data Scientist
  • The Judge Group
  • Deerfield, IL
  • Our client is looking for a Data Scientist This is a long term contract that must be done hybrid in the Deerfield area W...
  • 3/27/2024 12:00:00 AM

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Data Scientist
  • Avanade Inc.
  • Chicago, IL
  • Data Scientist Come join us: Avanade Inc. seeks a Data Scientist in Chicago, IL to build solutions using the Azure data ...
  • 3/27/2024 12:00:00 AM

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Senior Data Scientist
  • Strivector
  • Schaumburg, IL
  • THE EMPLOYER Take your career up a few notches with a leading multi-line insurer that serves its customers in global and...
  • 3/26/2024 12:00:00 AM

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Lead Data Scientist
  • Careerbuilder
  • Naperville, IL
  • Ecolabs Industrial sector is seeking a business focused Lead Data Scientist to unlock the value in data assets while mai...
  • 3/26/2024 12:00:00 AM

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Data Scientist
  • Careerbuilder
  • Des Plaines, IL
  • Pay Transparency Statement: The compensation philosophy reflects the Companys reasonable expectation at the time of post...
  • 3/25/2024 12:00:00 AM

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Data Scientist III
  • Careerbuilder
  • North Chicago, IL
  • Dice is the leading career destination for tech experts at every stage of their careers. Our client, The Fountain Group,...
  • 3/25/2024 12:00:00 AM

Chicago (/ʃɪˈkɑːɡoʊ/ (listen), locally also /-ˈkɔː-/), officially the City of Chicago, is the most populous city in Illinois, as well as the third most populous city in the United States. With an estimated population of 2,716,450 (2017), it is the most populous city in the Midwest. Chicago is the principal city of the Chicago metropolitan area, often referred to as Chicagoland, and the county seat of Cook County, the second most populous county in the United States. The metropolitan area, at nearly 10 million people, is the third-largest in the United States, and the fourth largest in North A...
Source: Wikipedia (as of 04/11/2019). Read more from Wikipedia
Income Estimation for Data Scientist jobs
$75,884 to $91,826
Chicago, Illinois area prices
were up 0.8% from a year ago

Data Scientist in Bergenfield, NJ
A Data Scientist handles data visualization, data wrangling, machine learning, computer programming and storytelling through the statistical modeling and analysis of the same.
November 23, 2019
Data Scientist in Cheyenne, WY
By analyzing this data they can solve complex problems for all kind of businesses.
October 13, 2019
Data Scientist in Lompoc, CA
Data scientists process and interpret what usually constitutes massive amounts of information to help deliver insights across a wide variety of fields and disciplines, including marketing, social media, finance, sales, and health care.
January 18, 2020
Along with big data—the huge data sets that businesses collect on all fronts—came the need for someone to parse it, to interpret it, to formulate business plans based on findings and, often, to execute those plans.
October 22, 2019