Data Scientist

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DOMVS iT

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2014

🤝 B2B

🏢 Enterprise

B2B • Enterprise

DOMVS iT is a Brazilian technology services company with over a decade of experience that provides IT staffing (Squad as a Service), managed squads, consulting, outsourcing, application management, and cloud & data services. The firm offers digital experience and product design services (Product Discovery, PDaaS), cloud architecture, FinOps, migrations, data masking/virtualization, and enterprise application support (including SAP), serving business customers across multiple cities and countries.

📋 Description

• Develop, train, and validate supervised and unsupervised Machine Learning models; • Perform statistical and mathematical analyses to identify patterns, trends, and opportunities; • Work with exploration, preprocessing, and modeling of large volumes of data; • Build analytical pipelines and data preparation processes; • Create predictive studies, segmentations, and recommendation models; • Support business areas in data-driven decision making; • Develop dashboards and executive presentations with analytical insights; • Monitor performance and accuracy of deployed models; • Collaborate with Data Engineering, BI, and business teams; • Ensure best practices for documentation, governance, and model versioning.

🎯 Requirements

• Experience in Data Science and Machine Learning; • Strong knowledge of Statistics; • Probability; • Applied Mathematics; • Predictive modeling; • Experience with languages: Python; SQL; • Experience with Machine Learning libraries and frameworks: Scikit-Learn; Pandas; NumPy; TensorFlow or PyTorch; • Knowledge of: Feature Engineering; Model validation; Performance metrics; Clustering; Regression; Classification; • Experience manipulating and analyzing large volumes of data; • Knowledge of Cloud environments: AWS; Azure or GCP; • Experience with visualization tools: Power BI; Tableau; Matplotlib; • Knowledge of version control with Git; • Experience with agile methodologies.

🏖️ Benefits

• 15 days paid leave; • Clude Saúde (online consultation platform); • Birthday day off + gift; • AWS partnership; • Language assistance; • TotalPass; • Support for specialization/certification (Postgraduate/MBA and AWS Certification); • Referral bonus; • Merit platform.