Data Scientist I

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🕒 Maio 22

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Velera

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

💳 Fintech

🏦 Bancário

Fintech • Banking • Financial Technology

A Velera é uma empresa que impulsiona o crescimento de cooperativas de crédito por meio de soluções fintech transformadoras e serviço excepcional. Com um profundo compromisso com o movimento das cooperativas de crédito, a Velera oferece soluções inovadoras que melhoram a experiência dos membros e promovem o bem-estar financeiro. A empresa colabora com instituições financeiras para abraçar mudanças e acelerar o sucesso em um cenário financeiro em rápida evolução, incorporando a filosofia de 'pessoas ajudando pessoas'.

Descrição

• Collaborate with stakeholders throughout the business to understand existing processes and identify opportunities for leveraging data to drive solutions. • Perform data mining and analysis from various databases to build solutions for optimizing product development, client portfolios, and business strategies. • Design and build custom AI/ML models and algorithms applied to data sets for enhancing products and processes. • Conduct exploratory data analysis to determine the effectiveness and accuracy of data for application in models and algorithms. • Develop and perform A/B testing frameworks to assess model quality and validity. • Interpret data analysis, model, and algorithm results to business and technical teams to facilitate decision-making. • Design and build predictive models to increase and optimize portfolios, generate revenue opportunities, prevent client attrition, and optimize portfolio segments for timely offers. • Develop processes and tools for monitoring and analyzing model performance and data accuracy. • Stay updated on industry standards and advancements in data-driven technologies and tools • Work in an agile framework as needed • Perform duties as assigned.

🎯 Requisitos

• Bachelors degree in Operations Research, Statistics, Mathematics, Computer Science, Physics or similar field • 2+ year’s professional experience working within business intelligence, data science, or operations research with experience in development of advanced analytics • Proficient with computer languages such as Python, and SQL • Familiar with various machine learning techniques including clustering, ensemble methods, artificial neural networks • Understanding their advantages and drawbacks and when to apply each • Proficient in advanced statistical techniques such as various regression modeling (linear, logistic, polynomial, etc.), forecasting methods, with practical application experience • Knowledgeable in cloud platforms for data science, Preferably Azure and Databricks • Familiar with big data platforms such as Databricks and/or Snowflake • General knowledge of PCI standards and regulations • Familiar with Agile methodologies and practices • Experience with AI Models, NLP, and/or LLM's preferred • Experience building classification models preferred • Excellent verbal, written, and visual communication skills, with the ability to tell a story using data and visualizations.

🏖️ Benefícios

• Competitive wages • Medical with telemedicine • Dental and Vision • Basic and Optional Life Insurance • Paid Time Off (PTO) • Maternity, Parental, Family Care Community Volunteer Time Off • 12 Paid Holidays • Company Paid Disability Insurance • 401k (with employer match) • Health Savings Accounts (HSA) with company provided contributions • Flexible Spending Accounts (FSA) • Supplemental Insurance • Mental Health and Well-being: Employee Assistance Program (EAP) • Tuition Reimbursement • Wellness program