Lead Data Scientist
Lead Data Scientist
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1 Vacancy
Job Description
Welcome to Resideo where were on a mission to transform homes into intelligent efficient and secure living spaces through the power of IoTconnected devices. As a Lead Data Scientist on our Home Analytics team youll play a pivotal role in extracting actionable insights from complex timeseries data making a direct impact on the comfort and safety of homes worldwide.
As part of this initiative we are looking for a Lead Data Scientist to help lead our LifeWhere product through the adoption of stateoftheart ML methods that improve monitoring accuracy while delivering metrics and intelligence for program operation at scale. You will collaborate with a team of experts to develop predictive models and algorithms that drive innovation in connected home IoT devices. Success in this role comes from marrying a strong data science background with product and business acumen to deliver scalable data products to our internal and external customers.
JOB DUTIES:
- Analyze and interpret complex timeseries data from connected HVAC systems to build cuttingedge metrics of HVAC performance generate insights and create value for our network of pros and homeowners using our IoT solution
- Develop methodologies and experiments to continuously improve predictive and machine learning algorithms
- Help develop endtoend process machine learning solutions to support program growth and expansion goals
- Working with crossfunctional teams including Product Managers and Software Engineers identify critical business problems and develop solutions to support datadriven business decisions
- Work to democratize data by building and socializing decision tools (e.g. reports data products dashboards)
YOU MUST HAVE:
- 10 years of related industry experience
- Experience using Python R etc. working with (preferably) timeseries data to support data analysis visualization exploratory data analysis feature generation and model fitting (in addition to other common analysis activities common to machine learning)
- Expert in at least one programming language for data analysis (e.g. Python R) experience with SQL a plus
- Strong foundational knowledge in project management with the ability to work in a fastpaced highvisibility environment
- Industry experience with developing and applying machine learning and statistical modeling in at least one of the following categories: Anomaly detection TimeSeries Methods and/or Image processing (e.g. convolutional neural networks autoencoders)
WE VALUE:
- Experience with HVAC systems or related industrial applications
- Experience with IoT sensor data preferably in the timeseries space working with edge data processing and connected device ecosystems
- Experience working with Apache Spark (preferably PySpark)
- Familiarity with modern ML frameworks and libraries including deeplearning (e.g. TensorFlow Keras or PyTorch) Scikitlearn Numpy Pandas and MLFlow.
- Knowledge and experience with Databricks Jupyter notebooks Git AWS or Azure cloud environments
- Detail oriented and willing to learn new skills and tools
- Experience working with crossfunctional teams and an ability to communicate clearly and effectively to technical and nontechnical audiences
- A continuous learning mindset with a willingness to stay updated with the latest trends and technologies in data science and machine learning.
WHATS IN IT FOR YOU:
- Life and health insurance
- Life assistance program
- Tuition Reimbursement
- Retirement plan (Immediate eligibility for 401K)
- Vacation & holidays (Enjoy worklife balance)
#LIEP1
#LIHybrid
Employment Type
Full-Time
