Senior Data Scientist

🕒 June 24

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 32%

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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Extractta

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2005

💼 Consulting

📣 Marketing

☁️ SaaS

Consulting • Marketing • SaaS

Extractta is a company proficient in information technology, dedicated to continually reinventing itself to support the transformation processes of its clients. It emphasizes a deep understanding of client needs and provides ongoing guidance in employing the best products and solutions, showcasing its expertise in technologies such as MongoDB, AWS, Salesforce, and data integration.

📋 Description

• Conduct exploratory analyses of large volumes of transactional and behavioral data to uncover actionable insights and business opportunities. • Build and deploy machine learning and deep learning models that solve real-world problems, such as fraud detection, recommendation systems, credit risk analysis, purchase propensity, and churn prediction, among others. • Validate hypotheses through controlled experiments using A/B testing methodologies and statistical analysis. • Collaborate with Product Owners and engineers to translate business problems into robust, scalable analytical solutions.

🎯 Requirements

• Machine Learning: experience with machine learning models in production environments, understanding the challenges of building scalable solutions for real-world settings. • Programming: proficiency in Python with libraries such as pandas, numpy, and matplotlib; experience with SQL for handling large volumes of data. • Statistics: strong foundation in descriptive and inferential statistics, hypothesis testing, analysis of variance, and probability concepts, as well as A/B experimentation methodologies. • Data Mining: ability to explore and extract insights from complex datasets, identify patterns and anomalies, and work with structured and semi-structured data from multiple sources. • Data Storytelling: ability to communicate technical results and insights through clear presentations and effective visualizations for diverse audiences, translating complex findings into actionable recommendations. • Preferred: knowledge of Spark for distributed processing. • Experience with deep learning frameworks and deploying models to production (MLOps).

🏖️ Benefits

• Meal and/or food voucher • Sesi and Sesc partnership, providing access to health, wellness, and leisure services • Partnerships with educational institutions offering exclusive discounts on courses and programs • Opportunities for career growth within the company and participation in strategic projects • Opportunity to work at a rapidly growing company in the market.