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 moderate direction and deliver results
- Curious problem solver
Required Qualifications:
- Bachelor’s Degree OR 7+ years of Data Science professional experience & High School Diploma/GED
- 3+ years of experience in modern advanced analytical tools and programming languages such as R or Python with scikit-learn
- 3+ years of experience with exploratory data analysis
- 3+ years of experience ETL operations sourcing data from SQL, REST APIs, and flat files
- 3+ years of experience with data visualization technologies, such as Power BI, Tableau, matplotlib, Excel, etc.
- 3+ years of experience in traditional programming languages such as Java, JavaScript, C++, or C#
- 3+ years of experience in scripting languages such as PowerShell, Bash, etc.
Preferred Qualifications:
- Experience 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
- Experience applying machine learning techniques to build AI applications.
- Experience with data science at scale using AWS SageMaker, SQL, Hive, SparkSQL, etc.
- Comfortable in Windows and Linux environments
- Experience 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
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