Senior Data Scientist

hace 2 meses

Madrid, España JLL A tiempo completo

JLL supports the Whole You, personally and professionally.

Senior Data Scientist - Madrid

About Us

JLL is a leading global professional firm that specializes in commercial real estate and investment management. As a veteran Fortune 500 company with tens of thousands of employees, we have repeatedly been named to Fortune World’s Most Admired Companies List. The commercial real estate sector is one of the largest financial domains in the world, and is currently undergoing a dramatic technological transformation, with our company leading the way.

JLL has opened JLL Technologies, a world-leading technology division that has grown to thousands of employees. As part of JLL Technologies, the Capital Markets Data Science team is committed to delivering cutting-edge AI solutions that leverage data-driven insights to create business value within the real estate domain. We foster close collaboration with cross-functional team members, including data engineers, business users, product managers, and other stakeholders worldwide, to achieve ambitious and elegant solutions on a global scale.

About the Role

We currently work in a flexible hybrid home/office balance and have beautiful offices with great food nearby.

What You’ll Do

Develop, evaluate, and continuously improve genAI and machine learning models using engineering and advanced data science approaches
Conduct exploratory data analyses including use of visualization and statistics
Communicate results orally and in writing, both internally and to external audiences
Partner with multi-functional peers around the world from engineering, product, and business to deliver machine learning models
Strive to make impact by deploying models to production
Promote a culture of data science excellence

**Qualifications**:
Master’s degree (PhD advantage) in data science, computer science, mathematics, or other STEM fields
3+ years of industry experience in a DS, researcher, or machine learning role (2+ if PhD)
Proven ability to lead a data science project end-to-end including planning, data exploration, data processing, model development, evaluation, model deployment to production, and project presentation to stakeholders.
Profound experience with a variety of data science aspects
Good presentation and communication skills in English
Strong software, data, and ML engineering skills - Advantage
Eagerness to contribute to the broader scientific community via teaching, open source contributions, blogging, publishing, organizing events, etc. - Advantage

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 committed to our purpose to shape the future of real estate for a better world. We’re using the most advanced technology to create rewarding opportunities, amazing spaces and sustainable real estate solutions for our clients, our people, and our communities.

Our core values of teamwork, ethics and excellence are also fundamental to everything we do and we’re honored to be recognized with awards for our success by organizations both globally and locally.

Creating a diverse and inclusive culture where we all feel welcomed, valued and empowered to achieve our full potential is important to who we are today and where we’re headed in the future. And we know that unique backgrounds, experiences and perspectives help us think bigger, spark innovation and succeed together.

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