Created about 2 months ago

Data Science Specialist - Home Office - JLL

Remote Option

  • Alvaro Vega
  • Karen Espinosa
  • Gustavo Roger Bravo Esquivias
  • Rider Paredes
  • Lucio Angel Sanchez Melgarejo
  • Victor Andres De La Puente Ancco
21 Applicants

Peru | San Isidro, PE

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Job details

These are the details of the job, consider each of them before you apply.

  • Company: JLL
  • # Data Scientists to Hire: 1
  • Type of Job: Tiempo-Completo
  • Salary: Salary to be Agreed
  • Aditional Compensation: Otras Formas
  • How urgently do they need the vacancy?: 2 a 4 semanas
  • Remote?: Completamente remoto

Job Description:

We are looking for a DATA SCIENCE SPECIALIST to be incorporated through JLL to our client team, a MULTINATIONAL TECHNOLOGY COMPANY.
  • Zone- 100% Home Office.
  • Schedule- Monday to Friday, 8-00 am to 5-00 pm.
Overall Role
  • The Data Scientist primary goal is to gather, normalize and structure data; use data science, algorithms and predictive/preemptive analytics to propose and provide quantitative support to decision-making process. Ideally, proposals should focus on accelerate cost avoidance, increase hard savings and enhance occupant experiences.
  • The key responsibilities are to ensure compliance with approved SOPs for each service provided. If IFM member identifies discrepancies between SOP implementation and coherent applicability, must escalate to update or implement local variances in SOP.

  • Gather, store, normalize and process data from all providers’ reporting, including inventory, storage and warehousing, logistics, mailroom, drinks and vending machines, minimarket, janitorial, security, hosting, etc., to produce useful information for decision-making processes.
  • Identify insights from data to enhance customer experience.
  • Provide operational service reporting on a daily, weekly, monthly, quarterly and annual basis.
  • Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
  • Ensures compliance with SOPs for all Customer Experience contracted services, identifies and includes all variations applicable per site.
  • Mine and analyze data from company, providers and third party databases to drive optimization and improvement of product development, marketing techniques and business strategies.
  • Develop custom data models and algorithms to apply to data sets.
  • Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
  • Develop company A/B testing framework and test model quality.
  • Assess the effectiveness and accuracy of new data sources and data gathering techniques.
  • Validates all provider invoices related to soft services submitted for payment are appropriate and consistent with the client expenditure authorization limits and compliance guidelines.
  • Continuously identifies ways in which service can be improved and value for money can be enhanced. Communicates innovations and cost savings ideas to RE&F.
  • Works in coordination with Ops Supervisor and CX&C team to plan and execute activities related to environmental sustainability.

  • Bachelor's degree in Computer Sciences, System Engineering, Mathematics & Statistics or related.
  • Two years of experience manipulating big data sets and building statistical models- Design, creation, maintain and query databases.
  • Experience in creating data gathering automation tools, using statistical computer languages.
  • Experience working with Microsoft Dynamics is desirable.
  • Ability to speak Fluid English.

  • Health Insurance for you.
  • Annual Performance Bonus.
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For employees in the United States, please see a fully copy of our Equal Employment Opportunity and Affirmative Action policy here .

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 email us at [email protected] . 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.

Seniority Level
Entry level

  • Construction 
  • Information Technology & Services 
  • Real Estate
Employment Type

Job Functions
  • Engineering 
  • Information Technology

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