Business Intelligence Machine Learning

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CAB Enterprises, Inc. proudly serves as the exclusive distributor of Electrolit in the United States. Electrolit is owned by Grupo Pisa, Latin America's premier pharmaceutical company with over 80 years of experience and has become a leader in premium hydration beverages. Since our establishment in 2015, we have dedicated ourselves to enhancing Electrolit's visibility in the U.S. market, building on a rich legacy that began in 1950 as a hydration solution for children.

With a steadfast commitment to quality, Electrolit features an innovative scientifically backed formula, a range of delightful flavors, and is produced using pharmaceutical-grade ingredients in a state-of-the-art facility.

At CAB Enterprises, we pride ourselves on fostering a service-oriented culture that values the collective skills and contributions of our team members. Our core values: humility, honesty, respect, responsibility and drive are the cornerstones of our success. We aim to create a dynamic and fulfilling workplace where our employees are recognized as our most valuable asset. Together, we celebrate our achievements and look forward to continuing our tradition of excellence.

Position Summary

The Business Intelligence – Machine Learning will design, build, and deploy machine learning models and algorithms to solve real-world business challenges. This role blends data science, software development, and business acumen to deliver scalable, data-driven solutions. The ideal candidate will collaborate with cross‑functional teams to support innovation and enhance decision‑making across the organization.

Location: Houston TX (hybrid)

• Assist in the design and development of basic machine learning models, algorithms, and data pipelines under guidance from senior team members.
• Support the creation and maintenance of dashboards and reports that use predictive analytics and ML outputs.
• Collaborate with cross‑functional teams to understand business needs and contribute to identifying areas where ML can add value.
• Work with datasets to perform data cleaning, preprocessing, and feature engineering.
• Help train and evaluate machine learning models, documenting results and sharing insights with stakeholders.
• Support the maintenance of data pipelines to ensure smooth integration of ML outputs with existing systems.
• Assist in monitoring model performance and updating models when necessary.
• Follow data security and privacy standards in all tasks.
• Contribute to the development of documentation and knowledge‑sharing materials to support model transparency and reproducibility across teams.
• Participate in team meetings and brainstorming sessions to propose innovative data‑driven solutions aligned with business goals.
• Perform other duties as assigned by the team.

Knowledge, Skills, and Abilities

• Strong analytical and problem‑solving skills with a data‑driven mindset.
• Proficiency in Python or R and ML libraries (e.g., Scikit‑learn, Tensor Flow, PyTorch).
• Solid understanding of supervised/unsupervised learning, classification, and regression.
• Experience with data visualization tools (e.g., Power BI, Tableau, Looker).
• Familiarity with relational databases and SQL.
• Exposure to cloud platforms (AWS, Google Cloud, Azure) for ML workflows.
• Excellent communication and collaboration skills.
• Ability to manage multiple priorities and meet deadlines in a fast‑paced environment.
• High attention to detail and commitment to data integrity.
• Team‑oriented with a proactive and continuous improvement mindset.

Qualifications

• Bachelor’s degree in Data Science, Computer Science, Mathematics, Statistics, or a related field.
• 1–3 years of experience in a data science, ML, or analytics role (internships or academic projects acceptable).
• Experience with data preprocessing, feature selection, and statistical modeling.
• Familiarity with big data tools (e.g., Spark, Hadoop, Big Query) is a plus.
• Experience with ERP systems (e.g., SAP) is a plus.
• Proficiency in Microsoft Office Suite (Excel, Word, PowerPoint, Outlook, Teams).

Other Requirements

• Must be willing…