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IL, United States

Company Profile

Principal Data Scientist


Job ID:



Jersey City, NJ, United States 


Big Data Analytics, Big Data Appliance Skills, Big Data Architect, Data Scientist

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Employment Type:

Full time



Job Description:

The Principal Data Scientist will be part of ACS’s corporate global lab supporting seven businesses, critically important to Honeywell product innovation.

Main Responsibilities:

  • Collaborate with Honeywell internal business partners to define, design and develop intelligent algorithms to operate on massive data sets.
  • Leverage experience with machine learning and statistical programming to define, design, and build projects that leverage our data
  • Leverage tools, processes and procedures allowing an organization to create, manipulate, and manage very large data sets
  • Develop and document prototypes to simulate the behavior of a new technique

As a top candidate, you will have the following attributes:

  • Innovative, creative, proactive and outside the box thinking.
  • Keen instinct to discern the ideas likely to have the most measurable benefit to our products from the many possible ideas and work closely with others to execute them.
  • Able to persuade stakeholders and champion effective techniques through product development.
  • Experience turning research ideas into actionable designs.
  • Comfortable working in a dynamic, research-oriented group with several ongoing concurrent projects.
  • Excellent communications skills including the ability to translate and present findings. 
  • A demonstrated passionate commitment to the customer and product quality.
  • A critical eye for the quality of data and strong desire to get it right.

Job Requirements:

Basic Qualifications:

  • Bachelor’s degree in computer science, mathematics, or other relevant degree.
  • 5 or more years’ demonstrated data experience including applied techniques in data mining, machine learning, or graph mining.
  • 3 or more years’ experience working with large unfiltered data sets and distributed computing tools such as Amazon EC2, Apache Hadoop, Nutch, Mahout, Hive, and MapReduce.
  • Due to ITAR restrictions, US Citizenship or US Permanent Resident status is required.

Preferred Qualifications:

  • Master’s degree or PhD in Computer Science, Machine Learning, Math, or Statistics.
  • Knowledge and experience of statistical analysis tools such as R.
  • Knowledge and experience in data modeling and database technologies.
  • Experience in methods to clean and tidy data.
  • Fluency in a programming or scripting language (e.g. Python, Ruby, Java) for fast prototyping and significant knowledge of core library and common design patterns.
  • Java skills and design experience, including significant knowledge of core libraries and common design patterns.
  • Experience with open source data processing frameworks.

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