Advanced Data Scientist, NLP

Website Honeywell

Honeywell changes the way the world works.

Honeywell is charging into the Industrial IoT revolution with the establishment of Honeywell Connected Enterprise (HCE), building on our heritage of invention and deep, on-the-ground industry expertise. HCE is the leading industrial disruptor, building and connecting software solutions to streamline and centralize the assets, people and processes that help our customers make smarter, more accurate business decisions. Moving at the speed of software, we are creating, innovating and delivering solutions fast, challenging the way things have always been done, piloting new ways for all of us to work, and expecting our successes to set new standards for our customers and for Honeywell.

HCE provides cloud-based Enterprise Performance Management offerings in a variety of domains such as Buildings, Industrial Plants and Aero enabling customers with faster innovation, efficient operations and improving the value of their assets. Powering all the HCE offerings is the underlying platform — Honeywell Forge which provides an open and extensible foundation to unify operations and leverage the innovative capabilities consistently across the customer business units.

Were looking for a new team member who is motivated by cracking tough challenges with data, trained in problem solving, and with an unending thirst for learning. As a Sr Data Scientist, 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 big data and NoSQL architectures. We are looking for a Sr Data Scientist with Natural Language Processing (NLP) experience to help us improve our NLP products and create new NLP applications. NLP responsibilities include transforming natural language data into useful features using NLP techniques to feed classification algorithms. To succeed in this role, you should possess outstanding skills in statistical analysis, machine learning methods and text representation techniques. The ultimate goal is to develop efficient self-learning NLP applications.


Designing and developing APIs to support keyword as well as multi-lingual Natural Language query interfaces
Foster relationships with business team members by being proactive, displaying a thorough understanding of the business processes and by recommending innovative solutions
Communicate project output in terms of customer value, business objectives, and product opportunity
Promote data science methods and processes across functions
Work with our businesses and platform teams to develop a strategy that will clearly outline how our enterprise solutions can enable business growth & productivity



Bachelors Degree in Computer Science; if Bachelors degree is not in Computer Science then must have 5 years of programming experience
3 year of experience in Natural Language Processing, not all in Computational Linguistics
2 years of experience with distributed storage and compute tools (e.g. Hive and Spark)
1 year experience with semantic object models (SDM)



Masters or PhD degree in Computer Science, Engineering, Computational Linguistics, Applied Mathematics or related field
Experience with semantic object models
Experience with natural language interfaces to databases, question answering, and conversational agents
Experience with federated search and big data queries
Experience with graph and NoSql databases
Experience designing REST APIs in Swagger
Experience with micro-services
Ability to effectively design software architecture
Knowledge of Python, Java, and R
Knowledge of OWL and RDF
An analytical mind with problem-solving abilities

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