Data Scientist - Chicago, United States - JLL

JLL

Verified Company

Chicago, United States

3 weeks ago

Posted by:

Mark Lane

beBee recruiter

Description

JLL supports the Whole You, personally and professionally.

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.

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.
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

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.

About JLL

We're JLL—a leading professional services and investment management firm specializing in real estate. We have operations in over 80 countries and a workforce of over 102,000 individuals around the world who help real estate owners, occupiers and investors achieve their business ambitions. As a global Fortune 500 company, we also have an inherent responsibility to drive sustainability and corporate social responsibility. That's why we're committ