Data Science Architect

Description

Job Summary: We are seeking a Data Science Architect for Itera Process, specializing in cloud infrastructure and Generative Artificial Intelligence, to drive our clients' digital transformation. Key Highlights: 1. Drive digital transformation with Generative AI on AWS. 2. Design and implement cloud-based data solutions and analytical models. 3. Develop Machine Learning models and Generative AI solutions. We are looking for a **Data Science Architect** at Itera Process! Location: Peru, Work Mode: Hybrid, Employment Type: Full-Time Strategic AWS Partners **Generative Artificial Intelligence** Digital Transformation **About Us** At Itera Process, we are strategic AWS partners specializing in cloud infrastructure and Generative Artificial Intelligence. We drive our clients’ digital transformation through innovative, high-impact solutions. **Who Are We Looking For?** We seek Data Science professionals who combine analytical thinking, data science expertise, and experience in cloud environments. If you are passionate about transforming data into intelligent solutions that deliver business value, this opportunity is for you. **Academic Qualifications** Bachelor’s degree or higher in Systems Engineering, Computer Engineering, Computer Science, Statistics, Applied Mathematics, or related fields. Desirable: Postgraduate studies, specialization, or diploma programs in Data Science, Artificial Intelligence, or related areas. **Certifications (Preferred)** At least one of the following certifications is valued: AWS Cloud Practitioner, AWS Solutions Architect Associate, Azure Fundamentals, Azure Data Engineer, or equivalent GCP certification. Cloud architecture or Infrastructure-as-a-Service (IaaS/PaaS) courses. Specialized certifications or courses in Python/R for data analysis. Foundations in Statistics, Machine Learning, Deep Learning, or Big Data. Certifications in AI/ML platforms (e.g., AWS ML Specialty, Azure AI, Google AI Platform). **Required Technical Skills** Languages: Python (mandatory), R, SQL. Desirable: Julia, Scala. Databases: SQL, PostgreSQL, MySQL, BigQuery, or similar. Visualization: Power BI, Tableau, Amazon QuickSight, or others. ETL / ELT: AWS Glue, Apache Airflow, dbt, Talend, or similar. ML Frameworks: Scikit\-learn, TensorFlow, PyTorch, XGBoost, or similar. Cloud & Services: Amazon S3, Redshift, SageMaker, Athena, or equivalents in Azure/GCP. Containers: Docker (desirable). Basic orchestration familiarity. Functional knowledge of at least one cloud platform (AWS, Azure, or GCP). **Required Experience** 2–4 years in IT technology, data science, or advanced analytics roles. Minimum of 2 verifiable projects implementing data-, AI-, or Generative AI–based solutions. Practical experience in data analysis, cleaning, and modeling using Python and SQL. Exposure to cloud environments on at least one platform (AWS preferred). Desirable: Experience developing or consuming Large Language Model (LLM) APIs and **Generative AI services** (e.g., Amazon Bedrock, OpenAI, etc.). **Key Responsibilities** Design and implement data pipelines and analytical models in cloud environments. Explore, clean, and transform data to generate actionable insights. Develop Machine Learning models and/or Generative AI solutions. Collaborate with cross-functional teams (cloud architects, developers, product). Communicate findings and results to both technical and non-technical stakeholders. Document methodologies, processes, and project outcomes. **Valued Competencies** Analytical Thinking: Ability to solve complex, data-driven problems. Intellectual Curiosity: Continuous learning and openness to new technologies and innovation. Effective Communication: Clearly conveying technical findings to diverse audiences. Collaborative Work: Adapting and contributing effectively within multidisciplinary and agile teams. Proactivity: Taking initiative to propose improvements, solutions, and new ideas. Results Orientation: Focus on business impact and measurable value generation. **What We Offer:** **What Do We Offer?** Salary: S/ 3,000 – S/ 5,000 (based on evaluation). Work Mode: Full-Time Benefits: All statutory benefits. Language: English classes. Continuous Training: Cloud solutions training and certification path (AWS, GCP, and Azure). **CV Submission:** luis.torres@iteraprocess.com **WhatsApp**: 942711022 Salary: S/.3,000\.00 \- S/.5,000\.00 per month Work Location: Hybrid in Miraflores, Lima