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 Do
* Collaborate 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 For
* 3 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 Offer
* A 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.
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