Senior Data Scientist

🔥 16 hours ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 10%

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GOK | Digital Innovation

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2009

💼 Consulting

📣 Marketing

🤖 Artificial Intelligence

Consulting • Marketing • Artificial Intelligence

GOK | Digital Innovation is a Brazilian digital innovation and AI consultancy that helps companies unlock business value from artificial intelligence. The firm develops AI-driven products and platforms (including a 'No Friction AI' feedback-to-backlog SaaS), runs AI assessments and labs, and provides hybrid squads to build and scale digital solutions for startups and enterprises. GOK emphasizes AI exploration, implementation, and innovation services to drive measurable business outcomes.

📋 Description

• Translate business needs into analytical problems by defining the target, observation and performance windows, eligible population, baseline, and success criteria before development. • Develop classification and regression models for credit risk, propensity, churn, collections, and pricing. • Perform exploratory analysis and feature engineering based on the business context and data availability at the time of decision-making. • Validate models by considering out-of-time performance, stability, calibration, and results by segment. • Apply statistical inference and experimental design when the objective is to assess causal relationships. • Evaluate results by considering the costs of errors and the expected impact on business decisions. • Document assumptions, methodology, results, and limitations in an auditable format. • Present conclusions and recommendations to technical and executive audiences. • Build and enhance data pipelines in the client environment, ensuring the reliability, organization, and availability of information for regulatory and tax-related teams. • Work in partnership with credit, collections, sales, operations, and channel teams.

🎯 Requirements

• Degree in Statistics, Mathematics, Computer Science, Engineering, Economics, or a related quantitative field. • Hands-on experience developing and validating predictive models. • Proficiency in Python for analysis and modeling, including pandas, scikit-learn, statsmodels, and gradient boosting libraries. • Advanced analytical SQL. • Experience with Spark and cloud-based analytics platforms. • Strong knowledge of statistical inference, causality, experimental design, and selection bias. • Knowledge of class imbalance, the bias–variance trade-off, and asymmetric error costs. • Experience with Git version control and peer code review. • Willingness to work under an independent-contractor (PJ) arrangement.

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