Lead Data Scientist
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Job Location:
Golden Valley, NV - USA
Monthly Salary:
Not Disclosed
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Department:
Job Summary
Welcome to Resideo where were 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 youll 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.
WHATS 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)
#LI-MA1
#LI-Hybrid
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
About Company
Resideo offers top-of-the-line home automation solutions to set up your best smart home system, including smart thermostats, security cameras and more.
