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Data Science Coordinator
$MXN 45,000/year
Indeed
Full-time
Onsite
No experience limit
No degree limit
C. 4 Ote. 120, Centro, 75120 Nopalucan de la Granja, Pue., Mexico
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Job Summary: A Data Science Coordinator will lead the strategy and development of data science solutions, ensuring technical and ethical quality. Key Highlights: 1. Lead the strategy and implementation of data science solutions. 2. Ensure the technical, methodological, and ethical quality of data projects. 3. Translate business needs into analytical and predictive models. **Data Science Coordinator** Location: Nopalucan de la Granja, Puebla We are **Pasteurizadora Maulec**, a Mexican company with **over 40 years of experience** in manufacturing and marketing ultra-pasteurized dairy products. Our commitment to **quality, innovation, and food safety** has positioned us as an industry benchmark, and we seek to integrate a **Data Science Coordinator** into our team. **Opportunity:** We are seeking a Data Science Coordinator to join our team. In this role, you will be responsible for leading the strategy, development, and implementation of data science solutions aligned with company objectives, ensuring the technical, methodological, and ethical quality of data projects. **Job Requirements:** * **Education:** B.S./B.E. in Computer Systems, Computer Science, Mathematics, Statistics, or related field. * **Experience:** 3 years in data science or advanced analytics. **Knowledge:** * Programming languages: Python, R, SQL * Libraries: Pandas, NumPy, Scikit-learn, TensorFlow or PyTorch * Concepts of LLMs, prompt engineering, and RAG * Experience with SQL and NoSQL databases * Experience with BI tools (Power BI, Tableau) * Knowledge of MLOps * Experience with cloud environments (AWS, Azure, or GCP) * Experience with big data (Spark, Hadoop) * + Version control (Git) **Main Responsibilities:** * Design and implement advanced analytics and data science strategy. * Translate business needs into analytical models and predictive solutions. * Ensure best practices in modeling, validation, deployment, and model monitoring. * Oversee data architectures in cloud environments (AWS, Azure, GCP). * Manage projects using agile methodologies (Scrum / Kanban). * Present results and findings to non-technical stakeholders. * Evaluate emerging AI and Machine Learning technologies. **Compensation and Benefits** * **Competitive salary:** $45,000. * **Year-end bonus (Aguinaldo):** 15 days in the first year and 30 days starting from the second year. * **Meal subsidy.** * **Vacation bonus and vacation days according to law.** * **Sunday premium above legal requirements.** * **Bonuses for birthdays, work anniversaries, and perfect attendance (monthly and annual).** * **Uniforms and personal protective equipment (PPE).** * **Savings fund.** **Join the Maulec Family** If you are passionate about innovation, statistics, programming, and digital transformation... **This opportunity is for you!**

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Juan García
Indeed · HR

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