Data Scientist - Fulltime

Location: Santiago de Querétaro

Job Description  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.
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., Perform feature engineering, clustering, statistical modeling, and time-series analysis using structured and unstructured data sources.
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.
Contribute to a strong data-driven culture by sharing knowledge, promoting best practices, mentoring peers, and advocating for responsible and ethical use of AI.
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, Num Py, 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.
~ Professional working proficiency in English for global collaboration and technical communication.

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 Git Hub for version control and collaborative development workflows.
Experience working in Agile/Scrum environments.
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.
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.

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…