Welcome to Resideo, where we're on a mission to transform homes into intelligent, efficient, and secure homes through the power of IoT-connected devices. As a Lead Data Scientist on our Data 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 Water data team in developing intelligent water monitoring and protection systems. You'll be at the forefront of applying advanced machine learning techniques to analyze real-time sensor data streams that help protect homes from water damage. Our systems must precisely differentiate between normal household water usage and anomalous events, while maintaining high accuracy to ensure customer satisfaction. Success in this role comes from combining deep data science expertise with strong product intuition to deliver scalable, production-ready solutions that provide value to both our professional installers and homeowners.

JOB DUTIES:

Own and drive the performance of machine learning models for water monitoring systems, including metrics definition, monitoring, and continuous improvement strategies
Lead end-to-end machine learning development from research through production deployment, making independent technical decisions to support program growth
Provide technical and strategic leadership to the data team, operating autonomously to deliver on Water business unit objectives
Build and maintain key relationships across Product Management, Engineering, and Business teams to identify opportunities
Set technical direction for the team, taking full ownership of product performance
Mentor team members and foster a culture of innovation while maintaining high standards for production ML systems
Familiarity with modern ML frameworks and libraries including, deep-learning (e.g., TensorFlow, Keras, or PyTorch), Scikit-learn, Numpy, Pandas, and MLFlow.

YOU MUST HAVE:

7+ years of industry 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
Experience working with Apache Spark (preferably PySpark)
Strong foundation in machine learning and statistical modeling
Industry experience with developing and applying machine learning and statistics in at least one of the following categories: Anomaly detection, Image processing (e.g. convolutional neural networks, auto-encoders), or time-series methods

WE VALUE:

Candidate should have project management experience and the ability to work in a fast-paced, high-visibility environment
Experience with water flow systems, HVAC, or related industrial applications
Experience with consumer facing IoT Products
Knowledge and experience with Databricks, Jupyter notebooks, Git, AWS or Azure cloud environments
A continuous learning mindset with a willingness to stay updated with the latest trends and technologies in data science and machine learning.

About Us

Resideo is a leading global provider of critical comfort and security solutions primarily in residential environments and distributor of low-voltage electronic and security products. Building on a 130-year heritage, Resideo has a presence in more than 150 million homes, with 15 million systems installed in homes each year. We continue to serve more than 110,000 professionals through leading distributors, including our ADI Global Distribution business, which exports to more than 100 countries from more than 200 stocking locations around the world. Resideo is a $5.0 billion company with approximately 13,000 global employees. For more information about Resideo, please visit www.resideo.com .

At Resideo, we bring together diverse individuals to build the future of homes. Resideo is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, religion, or veteran status. For more information on applicable U.S. equal employment regulations, refer to the "EEO is the Law" poster , "EEO is the Law" Supplement Poster and the Pay Transparency Nondiscrimination Provision . Resideo complies with applicable equal employment laws in all countries where we do business. For more information on how we process your information in the job application process, please refer to Recruitment Privacy Notice . If you require a reasonable accommodation to apply for a job, please use Contact Us form for assistance.

JOB INFO

Job Identification : 15804

Job Category : Data Science

Posting Date : 2025-03-28T21:24:22+00:00

Job Schedule : Full time

Locations : 230 W Fallbrook Suite 103, Fresno, 93711, US

(Remote)

Incentive Eligible : RBP

Business : Resideo

Hiring Salary Range : The typical hiring salary for this role, ranges from USD $137741.1 to $205494.45 per year but varies by specific work location. Within a range, Resideo determines base pay for an individual based on various factors, including market conditions, skills, and experience.

Incentive Eligible (RBP) : This position is eligible for a performance-based bonus of up to 10% of the annual base salary. The bonus is contingent upon both individual and company performance.

Benefits : Resideo provides comprehensive benefits, including life and health insurance, life assistance program, accidental death and dismemberment insurance, disability insurance, 401k Plan, vacation & holidays.

US Visa Sponsorship Eligibility : This position is not eligible for US visa sponsorship