Sr. Data Science Manager at Resideo

Golden Valley, Minnesota, United States -

Full Time

Start Date

Immediate

Expiry Date

17 Jul, 26

Salary

233951.3

Posted On

18 Apr, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine learning, Statistical modeling, Python, SQL, Scikit-learn, Pandas, TensorFlow, PyTorch, MLFlow, Time-series modeling, Anomaly detection, IoT data pipelines, Databricks, Azure, AWS, CI/CD pipelines

Industry

Consumer Electronics

Description

The Sr. Data Science Manager will be responsible for developing and executing the vision for machine learning and statistical modeling across Resideo’s connected home ecosystem. You will partner with engineering, product, and business leaders to ensure our data science investments translate into measurable product and customer impact. This role requires both team leadership and hands-on technical depth — setting the strategic direction, guiding model design, review, and deployment practices while nurturing a culture of experimentation and operational excellence that pushes Resideo closer to its goals and . Job Duties: * Lead and mentor a team of data scientists working on multiple product lines (e.g., HVAC diagnostics, water leak detection, and energy optimization). * Drive the development, validation, and deployment of predictive and machine learning models in collaboration with software and data engineering teams. * Build, Deploy, and Promote engineering rigor through structured code reviews, well-maintained Jira boards, and clear project documentation to align data science outputs with business and technical goals. * Partner with product managers to translate ambiguous business questions into measurable, data-driven experiments and insights. * Establish best practices for model lifecycle management, including reproducibility, observability, and ML operations. * Create alignment between data science, data engineering, and analytics organizations to ensure shared data assets and metrics frameworks. * Represent the Data Science function in cross-company strategy discussions and roadmap planning. * Champion continuous learning and development within the team, fostering curiosity and technical excellence. YOU MUST HAVE: * 10+ years of combined experience in data science, applied ML, or related technical roles, including at least 5 years in a leadership capacity. * Proven track record of shipping machine learning or predictive analytics solutions in production environments. * Deep experience with Python, SQL, and data science libraries (Scikit-learn, Pandas, TensorFlow/PyTorch, MLFlow). * Familiarity with time-series modeling, anomaly detection, or sensor/IoT data pipelines. * Experience in Databricks, Azure (or AWS) cloud ecosystems, and CI/CD pipelines for ML workloads. * The ability to work in-office three days/week (Tu/Weds/Thurs) in adherence with our required hybrid work environment [Any one of the following Office Locations: Austin, TX or Golden Valley, MN] WE VALUE: * Experience in highly rigorous engineering environments, competitive technical programs, or equivalent applied industry experience demonstrating an ability to be analytical and solve complex engineering problems at a level commonly seen in top‑tier technical training or high performing engineering roles. * Experience with HVAC systems or related IoT industrial applications * Knowledge and experience with Databricks, PySpark, 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. * Strong communication and stakeholder management skills, with the ability to influence technical and non-technical audiences. WHAT'S IN IT FOR YOU: * Opportunity to have a direct impact on high-scale projects and products selling to millions of homes and businesses worldwide. * Play a key role in driving a world where people are healthy, happy, safe, and secure through innovative AI and IoT solutions. * Full ownership of a dynamic tech stack and the chance to work with cutting-edge technologies. * Collaborate with high-performing, cross-functional teams in an agile and intellectually stimulating environment. #LI-MA1 #LI-HYBRID Resideo Technologies has announced its intention to spin off ADI Global Distribution and establish it as a separate, publicly traded company. Under this plan, ADI will continue its role as a leading global wholesale distributor serving commercial and residential markets, while Resideo will retain its manufacturing and product-solutions business. Upon separation, both companies will operate independently to better serve their respective markets and customers. The spin-off is currently targeted for completion in the second half of 2026, subject to customary conditions. Resideo is a $6.76 billion global manufacturer, developer, and distributor of technology-driven sensing and control solutions that help homeowners and businesses stay connected and in control of their comfort, security, energy use, and smart living. We focus on the professional channel, serving over 100,000 contractors, installers, dealers, and integrators across the HVAC, security, fire, electrical, and home comfort markets. Our products are found in more than 150 million residential and commercial spaces worldwide, with tens of millions of new devices sold annually. Trusted brands like Honeywell Home, First Alert, and Resideo power connected living for over 12.8 million customers through our Products & Solutions segment. Our ADI | Snap One segment spans 200+ stocking locations in 17 countries, offering a catalog of over 500,000 products from more than 1,000 manufacturers. With a global team of more than 14,000 employees, we offer the opportunity to make a real impact in a fast-growing, purpose-driven industry. Learn more at www.resideo.com [http://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 [https://www.resideo.com/us/en/-/media/Resideo/Files/Corporate/Careers/EEO%20is%20the%20Law%20poster.pdf?rv=fdc492d184344b3ea4aec0c96b321632], "EEO is the Law" Supplement Poster [https://www.resideo.com/us/en/-/media/Resideo/Files/Corporate/Careers/EEO%20is%20the%20Law%20Supplement%20Poster.pdf?rv=ebe367cad846443e8fa5aa86062813b6]and the Pay Transparency Nondiscrimination Provision [https://www.resideo.com/us/en/-/media/Resideo/Files/Corporate/Careers/Pay%20Transparency%20Nondiscrimination%20Provision.pdf?rv=11a9cf6533ba426296b137d906b0ce01]. 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 [https://www.resideo.com/us/en/-/media/Resideo/Files/Corporate/Resideo%20%20-%20Recruitment%20Privacy%20Notice.pdf?rv=6d871e71bfa24982b181c92fda232b7a]. If you require a reasonable accommodation to apply for a job, please use Contact Us [careers@resideo.com?subject=Contact%20Us%20Form%20%E2%80%93%20Job%20Application%20Assistance&body=This%20mailbox%20is%20intended%20only%20for%20assistance%20applying.%20%20We%20require%20candidates%20apply%20through%20our%20website.%20%20Please%20visit%20www.resideo.com/careers%20to%20find%20positions%20matching%20your%20interests%20and%20experience%20to%20apply%20for.%20%20Resumes%20sent%20to%20this%20mailbox%20will%20not%20be%20accepted.%0D%0APlease%20describe%20reasonable%20accommodation%20needed%20or%20issues%20you%20are%20having%20with%20your%20application%20below.%20%20Including%20job%20requisition%20number,%20title%20and%20location%20will%20aid%20us%20in%20assisting%20you.]form for assistance.

Responsibilities

The Sr. Data Science Manager will lead and mentor a team of data scientists to develop and deploy machine learning models across the connected home ecosystem. They will partner with cross-functional leaders to translate business needs into data-driven experiments and establish best practices for model lifecycle management.