Carrier is the leading global provider of healthy, safe and sustainable building and cold chain solutions with a world-class, diverse workforce with business segments covering HVAC, refrigeration, and fire and security. We make modern life possible by delivering safer, smarter and more sustainable services that make a difference to people and our planet while revolutionizing industry trends. This is why we come to work every day. Join us and we can make a difference together.

About This Role

LenelS2 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. 

Key Responsibilities:

• 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

Required Qualifications:

• Bachelor’s Degree OR 9+ years of Data Science professional experience & High School Diploma/GED
• 5+ years of experience in modern advanced analytical tools and programming languages such as R or Python with scikit-learn
• 5+ years of experience with exploratory data analysis
• 5+ years of experience ETL operations sourcing data from SQL, REST APIs, and flat files
• 5+ years of experience 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.

Preferred Qualifications:

• 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.
• Comfortable in Windows and Linux environments
• 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

#LI-Hybrid

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