Data Scientist II – Strategy and Credit

Job not on LinkedIn

🔥 15 hours ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

👻 Ghost score 25%

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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Stone & Company

WebsiteLinkedInAll Job Openings

1 - 10 employees

💼 Consulting

🤝 B2B

Consulting • B2B

Stone + Company is a management and strategy consulting firm that empowers corporate clients to achieve exceptional results by transforming disjointed strategies or crafting new ones into a unified plan designed for optimal performance and team synchronization. The firm focuses on delivering fast and effective outcomes for its clients.

📋 Description

• Develop, implement, and enhance predictive models for credit risk, churn, propensity, and revenue using machine learning and statistics • Build and enhance features by transforming raw data into relevant, reusable, and reliable variables • Build reproducible data pipelines using clean, reliable code • Define and monitor model quality metrics, including KS, AUC/Gini, precision, recall, uplift, and business impact • Support Stone’s strategy and credit operations with models for underwriting, credit limits, provisioning, and strategic decision-making

🎯 Requirements

• Hands-on experience developing predictive models using machine learning and statistics • Strong foundation in statistics and modeling, including model validation, calibration, discrimination, and stability • Proficiency in Python and leading machine learning libraries, including Scikit-learn, XGBoost/LightGBM, and Pandas • Clear and proactive communication skills to report analysis progress, address questions from the technical team, and present basic results objectively • Experience in credit, risk, or financial services is a plus • Proficiency in SQL and experience handling large volumes of data using Spark, Databricks, or BigQuery are a plus

🏖️ Benefits

• Base salary • Variable compensation package* (profit sharing, long-term incentive plan, or commission—provided based on role eligibility and not available as a free-choice model) • Health and dental insurance with copayments (except for employees with disabilities, who are not subject to copayments) • Verde Virtual Hospital: 24/7 telemedicine team • Medication allowance • Meal and/or food allowance – Pluxee* • Childcare allowance (for children up to 5 years and 11 months) • Allowance for employees with children with disabilities • Life insurance • Fuel or commuting allowance* • Home office allowance* (for hybrid or remote contracts only) • Welcome kit for new parents • SESC partnership* • Education benefit – internal self-development platform (Studa and Stone Library) • Acolhe360º – free emotional support • Quick massage and on-site clinic* • Wellhub • TotalPass • Pet Club • Flash • Férias&Co • Transportation voucher • Allya • Educational partnerships