Data Science Manager

April 15

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Trustly

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Trustly is a leader in Open Banking solutions, providing a cohesive suite of financial and payment products designed to modernize payments, reduce costs, and mitigate risk. The company focuses on delivering secure, low-cost payments and seamless financial services through industry-leading connectivity, offering services such as instant payouts, customer onboarding, risk assessment, and real-time account verification. Trustly serves a variety of industries, including billers, eCommerce, financial services, and gaming, leveraging high-quality, bank-validated financial data to enhance user experiences. Their solutions are tailored to enterprise needs, aiming to improve acceptance rates, minimize processing costs, and prevent fraud risk.

- employees

Founded 2008

💳 Fintech

💸 Finance

🛍️ eCommerce

📋 Description

• WHO WE ARE • At Trustly, we’re on a mission to deliver a better way to pay and get paid. Consumers deserve a payment option that prioritizes financial responsibility, and merchants should have the independence to accept payments without unnecessary costs. • We’re revolutionizing the payments industry by making Pay by Bank the new standard at checkout, providing a smarter payment option to credit and debit cards. • Fueled by this purpose, we’ve grown into a global network connecting 9,000 merchants to 650 million consumers. • With regional offices in Vitória, Brazil and Silicon Valley, USA, and our global headquarters in Stockholm, Sweden, we are a diverse team that spans over 30 nationalities. • Now is the perfect time to join us and help accomplish our mission. If you’re inspired by purpose, thrive in a fast-paced and entrepreneurial environment, and are ready to shape the future of payments, we’d love to hear from you!

🎯 Requirements

• AI/ML Mastery: Advanced degree in a quantitative field (Mathematics, Statistics, Data Science, or related) coupled with solid hands-on experience in the complete AI/ML development lifecycle. • Model Innovation: Proven ability to architect, develop, and validate sophisticated statistical and machine learning models, pushing the boundaries of current AI/ML capabilities. • Python Proficiency: Expert-level fluency in Python, with a strong understanding of its application in AI/ML development and data manipulation. • Feature Engineering Excellence: Deep understanding and practical experience in feature engineering and model development, enabling the creation of high-performance AI/ML solutions. • Strategic Communication: Exceptional English communication skills, capable of translating complex business requirements into actionable AI/ML projects and effectively mentoring team members for precise delivery. • Leadership in AI/ML: Solid years of relevant industry experience, including experience leading and mentoring high-performing AI/ML teams, driving innovation and strategic initiatives. • Cross-Functional Collaboration: Proven ability to collaborate with business stakeholders (product, engineering, etc.) to drive AI/ML innovation.

🏖️ Benefits

• Bradesco health and dental plan, for you and your dependents, with no co-payment cost. • Life insurance with differentiated coverage. • Meal voucher and supermarket voucher. • Home Office Allowance. • Wellhub - Platform that gives access to spaces for physical activities and online classes. • Trustly Club - Discount at educational institutions and partner stores. • Monthly happy hours with iFood coupon. • English Program - Online group classes with a private teacher. • Extended maternity and paternity leave. • Birthday Off. • Flexible hours/Home Office - our culture is remote-first! You can work in every city in Brazil. • Welcome Kit - We work with Apple equipment (Macbook Pro, iPhone) and we send many more treats! Spoiler alert: Equipment can be purchased by you according to internal criteria! • Annual premium - As a member of our team, you are eligible to receive an annual bonus, at the company's discretion, based on the achievement of our KPIs and individual performance. • Referral Program - If you refer a candidate and we hire the person, you will receive a reward for that!