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Data Science Manager

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. This mission drives everything we do.


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. For merchants and consumers, this means the freedom to make and receive payments with greater security and ease.


Fueled by this purpose, we’ve grown into a global network connecting 9,000 merchants to 650 million consumers through 12,000 banks across 33 countries, processing over $58 billion annually. As the leader in Pay by Bank, we aim to redefine the payments experience by delivering exceptional products and unmatched value.


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. Embracing a culture of innovation and collaboration, our 'work from anywhere' policy allows employees in Brazil, the U.S., and Canada to work remotely within their country of residence, enabling flexibility while staying connected to our global team.


At Trustly, we believe that inclusion and diversity are essential foundations for building a fair and equitable society. We do not discriminate based on race, religion, ancestry, color, national origin, gender identity, sexual orientation, age, citizenship, marital status, or disability status. Our main goal is to provide a fair, welcoming, diverse environment with opportunities for all collaborators. The stages of our selection process take place online and without distinction of any kind.


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!


About the team

Trustly's Data Science team pioneers cutting-edge AI/ML Models to support key initiatives across the company. We leverage AI-driven models and data-centric strategies to build resilient controls and unlock sustainable competitive advantage, and unlock significant value through data-driven strategies.


What you'll do:
  • Spearhead AI/ML Evolution: Act as a catalyst for innovation, driving the evolution of Trustly's technical capabilities through cutting-edge AI/ML.
  • Architect High-Velocity Teams: Cultivate and lead a high-performing, AI-driven team, empowering them to push the boundaries of machine learning and data science.
  • Foster Continuous Learning: Mentor and develop team members, fostering a culture of continuous learning, experimentation, and growth.
  • Drive Strategic Impact: Translate complex AI/ML capabilities into tangible business impact, aligning with Trustly's strategic vision.
  • Champion Data-First Approach: Ensure rigorous quality control and shape data-driven workflows to maximize efficiency and innovation.
  • Forge Strategic Partnerships: Collaborate with cross-functional leaders (Product, Risk, Engineering) to seamlessly integrate AI/ML solutions into Trustly's product roadmap.
  • Develop Groundbreaking Models: Lead the development of innovative AI/ML models that anticipate and mitigate risks, supporting key strategic goals.
  • Enable Proactive Decision Management: Propel Trustly towards a future of intelligent, proactive decision management and sustained market leadership.


Who you are:
  • 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.


Our perks and 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!


Check out our Glassdoor or our Brazil Life page on LinkedIn for more details about Brazil, our culture, and much more.


#LI-Remote

#LI-CHERRYNE-TRUSTLY


At Trustly, we embrace and celebrate diversity of all forms and the value it brings to our employees and customers. We are proud and committed to being an Equal Opportunity Employer and believe an open and inclusive environment enables people to do their best work.  All decisions regarding hiring, advancement, and any other aspects of employment are made solely on the basis of qualifications, merit, and business need.

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CEO of Trustly
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Johan Tjärnberg
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What You Should Know About Data Science Manager, Trustly

At Trustly, we're searching for a Data Science Manager to join our thriving team in Vitória, Espírito Santo! As a leader at the forefront of AI and machine learning innovation, you'll play an essential role in enhancing our payment solutions and driving substantial business impact. Trustly is dedicated to simplifying how consumers make payments while providing greater financial independence for merchants. Your focus will be on building high-velocity teams and fostering a culture of continuous learning and collaboration. You'll develop cutting-edge AI/ML models, mentor talented data scientists, and work closely with cross-functional teams to integrate these solutions into our products seamlessly. Your expertise in Python and advanced understanding of data science will empower you to lead strategic initiatives while shaping data-driven workflows that elevate our capabilities. This is not just a job; it's an opportunity to drive significant change, push the boundaries of what's possible in financial technology, and contribute to a diverse and inclusive environment that values innovation. At Trustly, we believe that when we combine teamwork with the right technology, we can create a more secure, efficient future for payments. If you're ready to take the next step in your career and help us reimagine how the world pays, we can't wait to hear from you!

Frequently Asked Questions (FAQs) for Data Science Manager Role at Trustly
What are the responsibilities of a Data Science Manager at Trustly?

As a Data Science Manager at Trustly, you will spearhead the evolution of AI/ML capabilities, drive strategic impact through innovative model development, and lead a high-performing data science team. You'll ensure data quality and manage workflows while collaborating with product, risk, and engineering teams to deliver comprehensive AI solutions.

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What qualifications are needed for the Data Science Manager position at Trustly?

To qualify for the Data Science Manager role at Trustly, candidates should possess an advanced degree in a quantitative field and extensive hands-on experience in AI/ML development. Strong proficiency in Python and a proven ability to lead teams in innovating statistical and machine learning models are essential.

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What skills are crucial for success as a Data Science Manager at Trustly?

Key skills for a successful Data Science Manager at Trustly include mastery of AI/ML techniques, proficiency in Python for data manipulation, and exceptional communication abilities. It's also important to have experience in feature engineering, strategic collaboration, and mentoring team members effectively.

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How does Trustly support the professional development of Data Science Managers?

Trustly fosters continuous learning and growth for Data Science Managers by encouraging mentorship, providing access to advanced technology, and promoting a collaborative work environment. You'll also benefit from various professional development programs designed to enhance your skills and career trajectory.

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What is the work culture like for a Data Science Manager at Trustly?

The work culture at Trustly is inclusive, collaborative, and innovative. As a Data Science Manager, you will be part of a diverse team that embraces new ideas and values flexibility. With a remote-first policy, you can work from anywhere in Brazil while contributing to a groundbreaking mission in the fintech space.

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Common Interview Questions for Data Science Manager
What experience do you have leading data science teams?

In your response, highlight your leadership experience, including specific examples of mentoring or guiding team members, and how you have fostered a culture of innovation and collaboration in your past roles.

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Can you describe a successful AI/ML project you've managed?

Be prepared to discuss the project goals, your role in the development process, and the impact it had on the business. Emphasize your decision-making process and any challenges you overcame along the way.

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How do you prioritize tasks in a fast-paced environment?

Share your approach to prioritization, including how you assess project impact and urgency. Discuss any tools or frameworks you use to ensure that your team meets deadlines without sacrificing quality.

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What steps do you take to ensure data quality in AI models?

Explain your methodology for ensuring data integrity, such as implementing data validation checks, regularly monitoring data sources, and continuously refining your models based on performance metrics.

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How do you bridge the gap between technical and non-technical teams?

Discuss your communication strategies, such as using clear visuals, analogies, and breaking down complex concepts into digestible parts. Emphasize your ability to translate business needs into technical requirements.

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What tools and technologies do you prefer for AI/ML development?

Mention the specific tools that you are proficient with, such as TensorFlow, PyTorch, or other programming libraries. Explain how your experience with these tools has enhanced your projects or the capabilities of your team.

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How do you mentor junior data scientists?

Describe your mentorship style, including how you provide constructive feedback, support professional development goals, and create an open environment for questions and discussions, enhancing growth within your team.

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What innovative approaches have you taken in your data science work?

Highlight specific examples where you introduced new methodologies or cutting-edge techniques that led to improved outcomes, demonstrating your commitment to innovation within the data science field.

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How do you stay current with advancements in AI and machine learning?

Share your strategies for professional development, such as attending conferences, participating in online courses, and reading industry publications to ensure you and your team remain at the leading edge of technology.

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How do you measure the success of an AI/ML model?

Discuss the key performance indicators you utilize to evaluate model performance, such as accuracy, precision, recall, or ROI. Emphasizing your analytical skills will show your understanding of practical metrics in AI/ML evaluation.

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A digital payments pioneer powering the shift to a cardless society, Trustly is the leading global payments platform for account-to-account (A2A) transactions.

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Full-time, remote
DATE POSTED
April 20, 2025

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