Honeywell

Lead Data Scientist

Job description

The future is what we make it.

When you join Honeywell, you become a member of our global team of thinkers, innovators, dreamers and doers who make the things that make the future. That means changing the way we fly, fueling jets in an eco-friendly way, keeping buildings smart and safe and even making it possible to breathe on Mars.

Working at Honeywell isn’t just about developing cool things. That’s why all our employees enjoy access to dynamic career opportunities across different fields and industries.

Are you ready to help us make the future?

We have an opportunity for a Lead Data Scientist to join our team in Dublin. You will join a high-performing, global team, and assist with designing, developing, and deploying data driven solutions for all Honeywell business groups and functions. You will work closely with application architects to integrate results into operational platforms, including Hadoop and NoSQL architectures.

Lead Data Scientist responsibilities

  • Identify opportunities for new growth and efficiency based on data analyses and foster relationships with business team members by being proactive, displaying a thorough understanding of the business processes
  • Recommending innovative solutions by using various data science methods including hypothesis testing and also be responsible for defining the data acquisition strategy when required.
  • After influencing scope and prioritizing the analytics pipeline, you will lead the technical execution of data science projects directing daily work of junior data scientists and will be responsible for the overall success of the project.
  • Presenting regular updates and final results to senior leadership of the customer organization.
  • Actively participate in defining and governing our analytics strategy for Honeywell building out AI/ML capabilities of our Forge platform and promoting data science methods and processes across functions

Qualifications

  • Master’s degree in Computer Science, Engineering, Applied Mathematics or related field
  • Extensive Data Science prototyping experience (Python and/or R tool-stack) using machine learning techniques and algorithms such as k-means, k-NN, Naïve Bayes, SVM, Decision Trees
  • Extensive Machine Learning experience of physical systems
  • Hold experience with distributed storage and compute tools (e.g. Hive and Spark)
  • Experience in deep learning frameworks like PyTorch, Keras
  • Experience with designing, building models and deploying pipelines to production using containerized microservices and/or orchestrated batch runs


We offer

  • A culture that fosters inclusion, diversity and innovation
  • Market specific training and on-going personal development

If this is your dream role, then we'd love to hear from you.


We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.


We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.


Additional Information

  • JOB ID: HRD144977
  • Category: Engineering
  • Location: 2 Dublin Landings, N Wall Quay North Dock,Dublin,DUBLIN,D01 V4A3,Ireland
  • Exempt

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