Data Science and Analytics Specialist

3 semanas atrás


São Paulo, São Paulo, Brasil Shift Technology Tempo inteiro

About Shift Technology

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Shift Technology is a leading provider of AI-powered solutions for the insurance industry. Our innovative products have benefited over 300 million policyholders globally, reducing underwriting risk, identifying more fraud, and automating critical tasks throughout the claims process.

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Our Mission

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We strive to be at the forefront of innovation in the insurance industry, empowering insurers to make better decisions and deliver superior customer experiences. Our team is dedicated to transforming the insurance landscape by imagining and innovating solutions that impact insurers and their customers.

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The Role

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We are seeking a highly skilled Data Scientist/Engineer to join our team in Sao Paulo. As a key member of our Data Science team, you will work on a broad range of subjects, actively participating in the definition and development of our suite of products on fraud detection, anti-money laundering, and claim automation.

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Your Responsibilities

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  • Develop mathematical models to understand insurance data and fraud mechanisms;
  • Implement, test, and optimize associated algorithms;
  • Participate in workshops with clients to gather feedback and integrate it into the models;
  • Continuously provide ideas to improve the solution;
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Requirements

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To be successful in this role, you should possess advanced technical skills in Applied Mathematics, preferably in machine learning and/or operations research. You should also have strong analysis and synthesis abilities, be fluent in English (mandatory), and able to communicate clearly in another language.

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What We Offer

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At Shift Technology, we offer a competitive total rewards and benefits package, including flexible remote and hybrid working options, competitive salary ($83,000 - $110,000 per year), variable component tied to personal and company performance, company equity, and generous PTO and paid holidays.

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Diversity and Inclusion

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We strive to be a diverse and inclusive workforce, welcoming applications from individuals who will contribute to our company's diversity. We do not discriminate based on race, color, religion, marital status, age, national or ethnic origin, physical or mental disability, medical condition, pregnancy, genetic information, gender identity or expression, sexual orientation, or other non-merit criteria.


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