Innovate to solve the world's most important challenges
Honeywell, a Fortune 100 company generating $39B+ in annual sales last year, has been one of Fortunes Most Admired Companies for over a decade. The company designs, develops and delivers solutions that address some of the world’s most critical challenges linked to global macro trends like energy efficiency, sustainability, safety and security, globalization and customer productivity. The business today is organized into five reportable business groups: Aerospace; Building Technologies; Performance Materials and Technologies; Safety and Productivity Solutions; and Honeywell Connected Enterprise. The connected enterprise brings together the physical and digital world to enable man and machine to make informed, real time decisions delivering a safer, smarter, more sustainable planet. It applies deep subject matter expertise, data, advanced analytics, and AI that allow an entire ecosystem to extract actionable insights and anticipate next steps to deliver optimal outcomes. This is the underpinning of Honeywell’s transformation to a software industrial powerhouse.
The IoT Data Scientist will be responsible for developing and engaging with potential IoT customers with focus on business value creation through data analysis, data modeling and data integration in various vertical market segments. In this role the Data Scientist will deliver new and existing Honeywell IoT solution based on data analytics that will generate new business and establish market leadership in industrial IoT space. Successful candidate must be comfortable exploring new business opportunities, analyzing industry trends, market situation and customer requirements; and create new or tailor existing solutions to solve customer problems in partnership with other Honeywell business units and partner ecosystem to deliver the “whole” IoT solutions to the market place.
The Sr. Data Scientist will be managing all of the above activities and delivering data analytics solutions. The candidate will be passionate about defining and driving the IoT strategy with focus on data analytics and execution for IoT and data analytics solution PoC’s and reference case building.
Roles and Responsibilities:
–Collaborate with business and solution teams in vertical industry units in Honeywell and global data analytics solutions to define and develop customer specific IoT (data analytics) solutions.
–Leverage technical know-how and domain knowledge of Honeywell experts to define, design and develop intelligent algorithms/models to operate on the right data sets
–Integrate multi-structured data from various sources to unlock new value for Honeywell and its customers
–Lead the pre-sale engagement from data analytics perspective and implement the solutions during the project delivery
–Develop and deploy data science based analytical algorithms on both backend and the edge
–Build a strong data science group by teaming and collaborating with other team members, partners and customers
Criteria for Success:
•IoT reference cases where data analytics forms a part of the “whole” IoT solution
•Enable data analytics solution capabilities internally
•IoT customer project delivery with focus on data analytics
•IoT business development plan execution
20 Develop innovative solutions
20 Data modeling
20 Data mining
20 Data visualization
20 Project output Communication
–Bachelor’s or Master’s in Computer Science, Statistics, or other relevant degree
–Experience working in data analytics for 5-7 years
–Experience working with distributed computing tools such as MapReduce, Pig, Spark
–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
–Proficiency with Unix/Linux environments
–Knowledge and experience of statistical analysis tools such as R/SPSS/MATLAB
–Knowledge and experience in multi-structured data modeling and NoSQL technologies such as HBase and Cassandra.
–Ability to assess/evaluate and recommend right platform and tools
–Ability to understand algorithms and translate them into MapReduce/Spark framework and support different analytics projects across the data science locations in China
–Ability to develop abstract interfaces to reduce the steep learning curve of data analytics technologies
–Ability of simultaneously working on multiple projects, with small teams of data analytics professionals
•Demonstrated experience in working with solutions, defining requirements, conducting gap analysis for internal and external offerings that can form the complete solution using various technology, software and hardware products and service offering
•Demonstrated experience in successfully working cross-functional teams and integrations.
•Demonstrated interpersonal and communication skills including the ability to effectively collaborate across time zones and cultures
•Excellent written and oral communicator
•Data analytics project skills in vertical industries are preferred
•Demonstrated strong analytical and problem-solving skills
•Project management skill in customer engagement situation
•Ability to travel up to 30%, including international travel, on a regular basis
Exempt How Honeywell is Connecting the World
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, or veteran status.
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.
For more information on applicable equal employment regulations, refer to the EEO is the Law poster .
Please refer to the EEO is the Law Supplement Poster & the Pay Transparency Policy .
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