Sr Data Scientist
Phoenix, AZ, USA | Honeywell
Industry:Manufacturing (Heavy Industry)
Job Description:72 people have viewed this job
Are you a leader in the data science community who is looking to lead the application of data science techniques to new, innovative product and service offerings?
Honeywell International is a $40 billion diversified Fortune 100 leader with more than 130,000 employees in 100 countries around the world. We invent and manufacture technologies that address some of the world’s toughest challenges linked to global macro trends like energy efficiency, clean energy generation, safety and security, globalization, and customer productivity. We are building a world that’s safer and more secure, more comfortable and energy efficient, more innovative and productive.
Honeywell Aerospace has approximately 40,000 employees around the world and 2015 revenue of $15 billion. Thousands of Honeywell Aerospace technologies, products and services are found on virtually every commercial, defense and space aircraft worldwide.
25 Communicate results of the analyses in a clearly and effective manner to stakeholders
25 Leverage tools, processes and procedures to create, manipulate, and manage very large data sets
25 Design experiments, test hypotheses, and build models/prototypes
25 Work with product managers and engineers to define, design, and develop solutions
YOU MUST HAVE
Master’s degree in computer science, applied mathematics, statistics, software engineering, physics, or related discipline in marketing and analytics
3 years of data science work experience, including a demonstrated high-level of proficiency in applying data techniques to solving customer problems
3 years of experience in machine learning, predictive analytics, and statistical modeling
3 years of experience in programming and scripting languages
2 years of experience in data visualization (e.g. Tableau, Qlik, Ploty)
PhD in computer science, applied mathematics, statistics, software engineering, physics, or related discipline in marketing and analytics
Ability to communicate and present complex quantitative analyses in clear and precise manner to leadership team
Experience working with large datasets using Hadoop framework and tools']
Previous experience moving prototypes to production environment and optimizing models in production environment
Condition monitoring and predictive failures experience
Aerospace knowledge or experience
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