As a Data Scientist, you will collaborate with a global, high‑performing team to design, build, and operationalize advanced data science and machine learning solutions. Your work will support customer experience, demand generation/forecasting, operations optimization, and revenue growth initiatives across B2B, and Digital Commerce environments.
This role sits at the intersection of advanced analytics, applied machine learning, and business strategy. You will translate complex data and modeling outcomes into actionable insights while ensuring that models move efficiently from experimentation into scalable, production‑ready solutions.
JOB DUTIES:
- Design, develop, and deploy predictive and prescriptive models to support customer experience optimization, demand forecasting, operations efficiency, and customer behavior analysis.
- Apply a range of machine learning and AI techniques, including classical algorithms (e.g., Gradient Boosting, Random Forests, SVMs), deep learning architectures (e.g., LSTM, Transformers), and emerging AI approaches to solve complex business problems.
- Build, maintain, and optimize customer-facing and internal analytical models, such as recommendation systems, churn prediction, propensity modeling, customer segmentation, demand forecasting, matching, and assortment optimization.
- Perform feature engineering, clustering, statistical modeling, and time-series analysis using structured and unstructured data sources.
- Transition models from exploratory research environments (e.g., notebooks) into production-ready artifacts, including APIs, serialized models, and containerized solutions.
- Collaborate closely with engineering teams to ensure end-to-end MLOps integration, including CI/CD pipelines, model versioning, automated deployment, monitoring, and retraining strategies.
- Conduct advanced statistical analysis to identify trends, anomalies, and opportunities, delivering actionable insights through reports and analytical outputs.
- Support experimentation initiatives through A/B testing, KPI definition, causal inference, and measurement of business impact.
- Partner with product, engineering, analytics, and business stakeholders to identify and prioritize data science opportunities aligned with organizational goals.
- Communicate findings clearly, including assumptions, limitations, trade-offs, and recommendations, to both technical and non-technical audiences.
Contribute to a strong data-driven culture by sharing knowledge, promoting best practices, mentoring peers, and advocating for responsible and ethical use of AI.
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YOU MUST HAVE:
- 3+ years of hands-on experience in applied data science and machine learning, ideally within B2B, Retail, or Digital Commerce environments.
- Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Analytics, or a related field.
- Strong proficiency in Python, including experience with data science and ML libraries such as Pandas, NumPy, Scikit‑learn, and visualization tools.
- Advanced SQL skills, including the ability to write complex queries, procedures, and analytical transformations.
- Solid understanding of classical machine learning algorithms and their real-world business applications.
- Strong analytical, critical-thinking, and problem-solving abilities with a consistent focus on business impact.
Professional working proficiency in English for global collaboration and technical communication.
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WE VALUE:
- Experience applying deep learning techniques, including sequence models (LSTM) and Transformer-based architectures.
- Hands-on experience leveraging Large Language Models (LLMs) for use cases such as text classification, search, summarization, enrichment, or automation.
- Practical experience designing or improving recommendation systems and personalization models.
- Familiarity with MLOps best practices, including CI/CD pipelines, automated testing, deployment, monitoring, and retraining.
- Experience with Snowflake or similar cloud-based data warehouse platforms.
- Exposure to data engineering concepts, such as data pipelines, dbt, workflow orchestration, or streaming architectures.
- Experience working with Azure cloud services and ML/AI platforms.
- Proficiency with GitHub for version control and collaborative development workflows.
- Experience working in Agile/Scrum environments.
Strong collaboration skills, intellectual curiosity, adaptability, and a commitment to continuous learning.
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WHAT'S IN FOR YOU:
- Benefits that go beyond Mexican labor law, ensuring your well-being and peace of mind.
- A collaborative and inclusive work environment where your contributions are valued.
- Opportunities for continuous professional growth and skill development through training, mentoring, and challenging projects.
- Access to cutting-edge tools, resources, and a supportive team to help you excel.
The chance to work with a global, innovative company shaping the future in its industry.
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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 .
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.
