Data Scientist/NLP/Machine Learning


Job Overview

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.We’re 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 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 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.Responsibilities:+ Designing and developing NLP applications+ Using effective text representation techniques and classification algorithms+ Training and evaluating models+ Develop data models, mining, pattern analysis, data visualization and machine learning solutions to address customer needs+ 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 & productivityYou Must Have:+ Bachelors Degree+ 3 years of Data Science prototyping experience of physical systems+ 3 years of experience with distributed storage and compute tools (e.g. Hive and Spark)+ 1 year of experience in NLP Based Model developmentWe Value:+ Masters or PhD degree in Computer Science, Engineering, Computational Linguistics, Applied Mathematics or related field+ Understanding of NLP techniques for text representation, semantic extraction techniques, data structures and modeling+ Deep understanding of text representation techniques (such as n-grams, bag of words, sentiment analysis etc), statistics and classification algorithms+ Experience with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)+ Experience with Streaming Analytics (i.e. Spark Streaming)+ Ability to effectively design software architecture+ Knowledge of Python, Java and R+ Experience with SQL+ Experience with Tableau+ Experience working with remote and global teams+ Results driven with a positive can-do attitude.+ Strong communication skills+ An analytical mind with problem-solving abilitiesHoneywell 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.

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