Lead Data Scientist

Welcome to Resideo, where we're on a mission to transform homes into intelligent, efficient, and secure living spaces through the power of IoT-connected devices. As a Lead Data Scientist on our Home Analytics team, you'll play a pivotal role in extracting actionable insights from complex time-series 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 state-of-the-art 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 time-series data from connected HVAC systems to build cutting-edge 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 end-to-end process machine learning solutions to support program growth and expansion goals
• Working with cross-functional teams, including Product Managers and Software Engineers, identify critical business problems and develop solutions to support data-driven 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) time-series 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 fast-paced, high-visibility environment
• Industry experience with developing and applying machine learning and statistical modeling in at least one of the following categories: Anomaly detection, Time-Series Methods, and/or Image processing (e.g. convolutional neural networks, auto-encoders)

WE VALUE:

• Experience with HVAC systems or related industrial applications
• Experience with IoT sensor data, preferably in the time-series 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, deep-learning (e.g., TensorFlow, Keras, or PyTorch), Scikit-learn, 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 cross-functional teams and an ability to communicate clearly and effectively to technical and non-technical audiences
• A continuous learning mindset with a willingness to stay updated with the latest trends and technologies in data science and machine learning.

WHAT'S IN IT FOR YOU:

• Life and health insurance
• Life assistance program
• Tuition Reimbursement
• Retirement plan (Immediate eligibility for 401K)
• Vacation & holidays (Enjoy work-life balance)

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