Data Scientist

USA-CORP Chicago IL-Chicago

JLL

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JLL supports the Whole You, personally and professionally.


Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology to our clients. We are committed to hiring the best, most talented people in our industry; and we support them through professional growth, flexibility, and personalized benefits to manage life in and outside of work.  Whether you’ve got deep experience in commercial real estate, skilled trades, and technology, or you’re looking to apply your relevant experience to a new industry, we empower you to shape a brighter way forward so you can thrive professionally and personally.

The objective of this role is to extract business value from JLL and external datasets, infuse intelligence into JLLT technology products, and help drive superior business outcomes for our organization and our clients.

The job entails a wide range of data-related activities starting with the extraction and preparation of data and ending with the validation and presentation of results or with the deployment of an intelligence product. The Data Scientist is expected to pull data from source systems; explore, validate, clean, and transform the data; leverage a wide range of algorithms and analytical approaches including Business Intelligence (BI), Machine Learning (ML), Natural Language Processing (NLP) and Artificial Intelligence (AI); deliver intelligence with full reproducibility; test and deploy the intelligence products following MLOps and DataOps best practices; and communicate results and insights to key stakeholders.

The data scientist will consult with product owners, subject matter experts, and other stakeholders to understand the business questions or objectives. Then work in cross-functional teams to identify the best approach and to deliver the solution.

Key Responsibilities:

  • Deliver high-quality, action-oriented, compelling insights and recommendations for decision makers based on descriptive, predictive, and prescriptive data analytics.
  • Deliver models and complex data analyses using rigorous statistical methodologies, machine learning algorithms, and AI techniques.
  • Research new algorithms and libraries and deliver innovative solutions using the best available tool for the job.
  • Consult with internal or external clients, partners, and stakeholders.  Understand business needs and challenges. Advice on BI/AI strategies applied to Commercial Real Estate.
  • Help groom requirements and generate benefit/cost estimates for BI/AI solutions.
  • Deliver high-impact BI solutions including dashboards, visualizations, and extensions.
  • Find, collect, explore, validate, and prepare the data for analysis. Responsibilities would include querying, scraping, loading, validating, cleaning, aggregating, transforming, detecting outliers, imputing missing values, developing features, and scripting these processes.
  • Thoroughly validate quality of outputs and perform peer review for other team members.
  • Collaborate with and provide support to the productizing and operating the intelligence.
  • Apply DataOps, MLOps, and Engineering best practices. Automate the extraction, preparation, and analysis of data to deliver reproducible results. Automate the training, validation, deployment, and monitoring of models.  Develop reusable code and reusable intelligence services. Follow CI/CD development processes and architectural guidelines.
  • Manage projects, ongoing requests, and resolve issues to ensure delivery on time and according to specifications.

Required Skills:

  • Excellent quantitative, analytical, and problem-solving skills.
  • Ability to use data to answer business questions, find new insights, understand drivers, detect potential issues, and make recommendations to decision makers.
  • Knowledgeable about descriptive and inferential statistics.
  • Knowledgeable about machine learning algorithms including implementing classification models, regression models, cluster analysis.
  • Knowledgeable about deep learning frameworks such as TensorFlow or PyTorch.
  • Knowledgeable about prompt engineering, Retrieval-Augmented Generation (RAG) and LLM evaluation techniques.
  • Ability to implement processes to extract, load, and transform data from different types of structured and unstructured sources.
  • Knowledgeable about feature-engineering and development of data pipelines.
  • Ability to develop impactful visualizations, dashboards, and reports.
  • Team player able to collaborate effectively in large cross-functional projects.
  • Client orientation and business acumen required to drive impact.
  • High attention to detail and quality.
  • Solid written and verbal communication skills.
  • Ability to multi-task, prioritize, and execute to deliver results under tight deadlines.
  • Ability to learn quickly new algorithms, techniques, and tools.

Qualifications:

  • Bachelor’s degree in Statistics, Mathematics, Computer Science, Engineering, Economics or another field of scientific and quantitative nature
  • Expertise programming in Python, R, Spark and other relevant languages for data science
  • Expertise working with language models like OpenAI GPT or others and utilizing their capabilities for generating and evaluating content.
  • Expertise using data science libraries and algorithms for predictive and/or explanatory purposes
  • Expertise working with relational databases and writing complex SQL queries. 
  • Expertise working with BI and visualization platforms such as Tableau and Power BI
  • Excellent computer skills including proficiency in MS Excel, Word, PowerPoint, Outlook, Sharepoint, JIRA, Confluence, and similar applications

Estimated compensation for this position is:

110,000.00 – 130,000.00 USD per year

The pay range listed is a total compensation range including bonus, if applicable. The provided range is an estimate and not guaranteed. An employment offer is based on applicant’s education, experience, skills, abilities, geographic location, internal equity and alignment with market data.

Location:

Remote –Atlanta, GA, Chicago, IL, Dallas, TX, Dallas Fort Worth, TX, Houston, TX, Minneapolis, MN, Orlando, FL, Salt Lake City, UT

If this job description resonates with you, we encourage you to apply, even if you don’t meet all the requirements.  We’re interested in getting to know you and what you bring to the table!


Personalized benefits that support personal well-being and growth:

JLL recognizes the impact that the workplace can have on your wellness, so we offer a supportive culture and comprehensive benefits package that prioritizes mental, physical and emotional health. Some of these benefits may include:

  • 401(k) plan with matching company contributions

  • Comprehensive Medical, Dental & Vision Care

  • Paid parental leave at 100% of salary 

  • Paid Time Off and Company Holidays

  • Flexible and Remote Work Arrangements may be available

JLL Privacy Notice

Jones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLL’s recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely.

For more information about how JLL processes your personal data, please view our Candidate Privacy Statement.

For additional details please see our career site pages for each country.

For candidates in the United States, please see a full copy of our Equal Employment Opportunity and Affirmative Action policy here.

This position may require you to be fully vaccinated against COVID-19. If required, you’ll be asked to provide proof that you’re fully vaccinated upon your start date. You’re considered fully vaccinated two weeks after you receive the second dose of a two-dose vaccine series (e.g., Pfizer or Moderna) or two weeks after a single-dose vaccine (e.g., Johnson & Johnson/Janssen). Failure to provide proof of vaccination may result in termination. 

Jones Lang LaSalle (“JLL”) is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities.  If you need a reasonable accommodation because of a disability for any part of the employment process – including the online application and/or overall selection process –  you may contact us at Accommodation Requests. This email is only to request an accommodation. Please direct any other general recruiting inquiries to our Contact Us page > I want to work for JLL.

Pursuant to the Arizona Civil Rights Act, criminal convictions are not an absolute bar to employment.

Pursuant to Illinois Law, applicants are not obligated to disclose sealed or expunged records of conviction or arrest.

Pursuant to Columbia, SC ordinance, this position is subject to a background check for any convictions directly related to its duties and responsibilities. Only job-related convictions will be considered and will not automatically disqualify the candidate.

California Residents only

If you are a California resident as defined in the California Consumer Privacy Act (CCPA) please view our Supplemental Privacy Statement which describes your rights and disclosures about your personal information. If you are viewing this on a mobile device you may want to view the CCPA version on a larger device.

Pursuant to the Los Angeles Fair Chance Initiative for Hiring Ordinance, JLL will consider for employment all qualified Applicants, including those with Criminal Histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Accepting applications on an ongoing basis until candidate identified.

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Tags: Business Intelligence CI/CD Classification Cluster analysis Computer Science Confluence Data Analytics DataOps Data pipelines Deep Learning Economics Engineering Excel GPT Jira LLMs Machine Learning Mathematics MLOps NLP OpenAI Pipelines Power BI Privacy Prompt engineering Python PyTorch R RDBMS Research Security SharePoint Spark SQL Statistics Tableau TensorFlow

Perks/benefits: Career development Equity Flex hours Flex vacation Health care Medical leave Parental leave Salary bonus Startup environment

Region: North America
Country: United States
Job stats:  12  8  0
Category: Data Science Jobs

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