Advanced Data Scientist

Honeywell International, Inc.; Ciudad de México; Presencial; MXN 500,000 - 700,000; Jornada completa

Descripción de la vacante

A global technology leader is seeking an Advanced Data Scientist in Mexico City to lead and implement advanced analytics models. The role demands over 5 years of experience, proficiency in SQL, Power BI, Excel and Tableau, and strong project management skills. You will mentor junior data scientists while fostering a collaborative team culture. Join us to make impactful contributions in automation and energy transition.

Formación

• 5+ years of experience in data science with complex project management.
• Mastery of SQL, Power BI, Excel and Tableau required.
• Strong project management and organizational skills essential.

Responsabilidades

• Lead the development and implementation of advanced analytics models.
• Collaborate with teams to formulate data-driven solutions.
• Mentor junior data scientists.

Conocimientos

Machine learning

Statistical modeling

Data analysis

Project management

Mentoring

Programming (Python or R)

Educación

Bachelor’s or Advanced degree in Computer Science, Statistics, Mathematics, or related discipline

Herramientas

SQL

Power BI

Excel

Tableau

Descripción del empleo

Overview

As an Advanced Data Scientist here at Honeywell, you will be responsible for providing technical insight and acting as the subject matter expert in machine learning, statistical modeling, and data analysis projects. You will work closely with leadership to translate business needs into data science solutions. You will be responsible for contributing to the continuous improvement of methodologies and explore new approaches to enhance analytical capabilities.

In this role, you will impact the business by applying your expertise in machine learning, statistical modeling, and data analysis to develop and implement advanced algorithms and analytical solutions. You will manage end-to-end data science projects, ensuring alignment with business objectives and the successful delivery of actionable insights. Additionally, you will provide mentorship and guidance to junior data scientists, fostering a collaborative and innovative team culture.

Key Responsibilities

• Lead the development and implementation of advanced analytics models and algorithms
• Collaborate with crossfunctional teams to understand business needs and formulate datadriven solutions
• Mentor and guide junior data scientists, fostering a collaborative and innovative work environment
• Ensure the delivery of highquality, actionable insights to support business decisionmaking
• Drive innovation within the team, exploring new methodologies and technologies to enhance analytical capabilities

YOU MUST HAVE

• 5+ years of experience in data science, with a focus on leading complex projects and delivering impactful solutions
• Mastery experience with SQL, Power BI, Excel and Tableau.
• English proficiency
• Strong project management and organizational abilities
• Demonstrated ability to lead and mentor junior data scientists

WE VALUE

• Bachelor’s degree or Advanced degree in Computer Science, Statistics, Mathematics, or related discipline
• Experience in leading and ownership of complex data projects
• Proficiency in programming languages such as Python or R
• Strategic thinking and the ability to contribute to the overall direction of the Data Science team

Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments – powered by our Honeywell Forge software – that help make the world smarter, safer and more sustainable.

Honeywell is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, religion, or veteran status.