Honeywell is looking for a data driven professional to join its Data Science Engineering team to design & build in-house as well as evaluate and integrate 3rd party analytical components. You will develop new solutions, evaluate & integrate 3rd party solutions, and deploy state-of-the-art data mining and AI-ML models that leverage physical access control system datasets to unlock new security insights for end-user customers.Do you enjoy integrating systems together, mashing-up datasets and analyzing them by leveraging state-of-the-art data mining and AI-ML techniques to drive decision making? As a Data Science Engineer, you will be responsible for data collection, cleaning, normalization, feature extraction, supervised and unsupervised learning of customer datasets to deliver analytical systems that improve forensic and real-time security outcomes. These analytical systems you develop in-house and those integrated from 3rd parties will extend the capabilities of our core product ecosystems. The annual base salary range for this position is $142,000 - $178,000. Please note that this salary information serves as a general guideline. Honeywell considers various factors when extending an offer, including but not limited to the scope and responsibilities of the position, the candidate's work experience, education and training, key skills, as well as market and business conditions.RESPONSIBILITES:
Participate in extending product capabilities through development and deployment of analytical systems leveraging data mining and AI-ML techniques.
Interact with 3rd parties to evaluate integration feasibility and licensing of technologies and analytic components
Design, prototyping, and implementation of new data-centric solutions
Effectively communicate and collaborate with local teams, international teams, and 3rd parties
Contribute to build versus buy decisions
Work closely with members of Product Management, New Product Development, Quality Assurance, and end users as may be necessary to bring solutions to life
Self-starter that can take minimal direction and deliver results
Curious problem solver
YOU MUST HAVE
BS or MS in an appropriate technology field (Computer Science, Statistics, Applied Math, etc.)
3+ years of experience in modern advanced analytical tools and programming languages such as R or Python with scikit-learn
Proficiency with exploratory data analysis
Proficiency with ETL operations sourcing data from SQL, REST APIs, and flat files
Proficiency with data visualization technologies, such as Power BI, Tableau, matplotlib, Excel, etc.
5+ years of experience in traditional programming languages such as Java, JavaScript, C, or C#
5+ years of experience in scripting languages such as PowerShell, Bash, etc.
Comfortable in Windows and Linux environments
WE VALUE
Expertise with many data mining algorithms and statistical modeling techniques such as clustering, classification, regression, decision trees, neural networks, SVMs, anomaly detection, recommender systems, pattern discovery, and text mining
Expertise applying machine learning techniques to build AI applications.
Expertise with data science at scale using AWS SageMaker, SQL, Hive, SparkSQL, etc.
Expertise evaluating and integrating 3rd party analytic components into commercial products
Problem Solving: Ability to solve problems using analytical thinking, reconciling viewpoints, and evaluating technologies.
Communication: Demonstrates effective verbal and written communication skills when explaining complex technical issues to both technical and non-technical audiences
Continuous learning mindset
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.