Data Scientist

🔥 3 minutes ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Provenir

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2004

☁️ SaaS

💳 Fintech

🤖 Artificial Intelligence

SaaS • Fintech • Artificial Intelligence

Provenir is the Decision Intelligence Platform for financial services providers. It offers a low-code, cloud-native SaaS platform that consolidates data, AI models, analytics and decisioning agents into a single governed environment to support credit risk, fraud & identity, compliance, onboarding, customer management and collections. The platform provides real-time, AI-powered decisioning, a data marketplace for identity/fraud/credit data, case management, and tools for deploying, validating and optimizing models and policies across global markets. Provenir is used by banks, credit unions, fintechs, payments and telco customers and processes billions of decisions annually.

📋 Description

• Support LATAM engagements across data science, analytics, and decisioning use cases • Work with internal teams and clients to understand business problems, data availability, analytical requirements, and expected outcomes • Build, evaluate, and explain predictive models, scorecards, decision rules, segmentation analyses, simulations, and business insights • Use Python and common data science libraries to clean, explore, transform, and analyze data • Prepare analytical outputs, client-ready insights, model performance summaries, and business recommendations • Contribute data science input to discovery, workshops, demonstrations, and delivery activities • Explain machine learning, rules, explainability, monitoring, and decisioning within the Provenir platform • Communicate technical concepts to technical and non-technical audiences • Document analysis, assumptions, code, and recommendations reproducibly • Follow and contribute to best practices for code quality, documentation, version control, testing, and reusable delivery assets • Collaborate with global Data Science colleagues to share learnings and support consistent regional delivery

🎯 Requirements

• Bachelor’s degree in a STEM field plus a minimum of 3 years of experience in data science, analytics, decision science, applied machine learning, or a related field; or a master’s degree or equivalent experience in a related STEM field • Strong Python skills, including pandas, scikit-learn, notebooks, data wrangling, and model development workflows • Experience building, validating, or interpreting supervised machine learning models • Strong data manipulation skills, including merging, cleansing, sampling, profiling, and preparing data for analysis • Ability to balance model performance, explainability, complexity, and business usability • Good understanding of AUC, precision, recall, lift, stability, and model monitoring • Ability to translate analytical outputs into clear insights and recommendations • Strong communication skills in Portuguese and English • Comfortable communicating with internal stakeholders and open to working directly with clients • Curious, proactive, and willing to learn new business domains, analytical methods, and platform capabilities • Organized and delivery-focused, with the ability to manage multiple priorities • Spanish language skills are a plus • Experience in financial services, fintech, banking, lending, payments, insurance, telecommunications, or another data-rich industry is desirable • Exposure to client-facing work, workshops, product demonstrations, or cross-functional business discussions is desirable • Experience with MLOps, model deployment, APIs, MLflow, CI/CD, or production model governance is desirable • Familiarity with credit risk, fraud, collections, or customer management use cases is desirable • Experience preparing presentations, technical documentation, or business summaries is desirable

🏖️ Benefits

• Comprehensive health and wellness plans • Paid time off • Company holidays • Flexible and remote-friendly options • Maternity/paternity leave