Genesis Digital Solutions | Tempo integral Torres Vedras 1x por semana | Posted on 12/17/2025 At Genesis Digital Solutions, we help companies innovate and thrive in the digital world. We are a team of technology and IT consulting specialists committed to excellence and making a real impact on our clients' projects. If you're looking for a dynamic environment where you can grow and contribute to cutting-edge technological solutions, we want to meet you! What You Will DoCollaborate closely with Data Engineers and business stakeholders to define and validate curated datasets optimized for analytics and AI use cases. Specify and document data requirements, feature definitions, and aggregation logic for downstream analytical and machine learning applications. Validate data completeness, consistency, and statistical soundness of serving-layer datasets. Provide continuous feedback to data engineering teams on data model usability, performance, and analytical fitness. Perform exploratory data analysis (EDA) to identify patterns, anomalies, and data quality issues. Build and test baseline machine learning models and analytical prototypes using curated datasets. Contribute to the design and implementation of lightweight ML pipelines (training, evaluation, inference) aligned with platform standards. Ensure features and models are reproducible, versioned, and prepared for future operationalization in production environments. What We Are Looking For3 to 5 years of experience in Data Science, Applied AI, or Analytics Engineering roles. Strong proficiency in Python for data analysis and modeling (e.g. pandas, numpy, scikit-learn or equivalent). Solid SQL skills for working with large-scale analytical datasets. Experience collaborating with Data Engineers in data lakehouse or data warehouse architectures. Familiarity with Azure-based analytics and machine learning platforms (e.g. Databricks, Synapse, Azure ML). Awareness of data quality, governance, and privacy considerations in analytical workflows. Strong analytical mindset with attention to data validity, assumptions, and statistical robustness. Ability to translate business and product questions into clear data and feature requirements. Strong communication skills and a collaborative working style with technical and non-technical stakeholders. English level B2 or higher (mandatory). What We OfferA workplace that values innovation and personal growth. Opportunities to work on high-impact projects. Remote work model with flexible hours. Support for professional development, including training and certifications.#J-18808-Ljbffr