Head of Data Science (Gerente Executivo de Ciência de Dados)

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Description

Location: São Paulo, SP

Department: DataLab (Corporate Innovation Lab)

Job Summary: We are seeking a dynamic and visionary Head of Data Science to lead our corporate innovation lab, focusing on driving algorithm and data product innovation in the fields of credit analytics, fraud detection, health analytics, sustainability analytics, and token-economy (DREX). The ideal candidate will be fluent in modern data science tech stacks, both hybrid cloud-based and on-premises.

Key Responsibilities:

• Lead and manage the data science team to develop innovative algorithms and data products.

• Design and implement scalable data products that leverage hybrid cloud environments.

• Utilize publicly available and first-party data to drive insights and data product development.

• Integrate next-generation applications and platforms with existing legacy systems to ensure seamless data flow and interoperability.

• Collaborate with cross-functional teams including data engineers, product managers, and business stakeholders to define project requirements and deliverables.

• Ensure the highest standards in balancing predictive and descriptive performance and model stability and explainability.

• Stay abreast of emerging technologies and industry trends to continuously innovate and improve the lab's capabilities.

• Mentor and develop team members, fostering a culture of continuous learning and improvement.

Qualifications:

• Bachelor's and Master's degree in Data Science, Computer Science, Software Engineering, or a related field;

• Proven experience in leading data science teams.

• Candidates must be familiar with at least one of the following technologies for each of the following category:

  • Machine learning and AI technologies
  • GenAI APIs & Integration tools (AWS Bedrock, Azure OpenAI Services)
  • Cloud computing platforms (e.g. AWS, Azure, Google Cloud)
  • Data visualization tools (e.g. Tableau, Power BI, D3.js)
  • Programming languages (e.g. Python, SQL)
  • Emerging technologies (e.g. quantum computing, blockchain)

• Strong knowledge of multiple data sources- pipeline creation (publicly available data, transaction, mobile and financial data).

• Excellent (business) problem-solving skills and the ability to think strategically.

• Strong communication and leadership skills.

• Fluency in Portuguese and English is mandatory.

Preferred Skills:

• Experience in at least one of those fields: credit-, financial-, insurance, healthcare-, sustainability- token economy (DREX).

• Experience with integrating next-generation applications and platforms with legacy data stacks.

• Knowledge of Brazilian data governance and compliance regulations.

Why Join Us:

• Opportunity to lead a cutting-edge innovation lab and make a significant impact on the company's future.

• Work with a talented and passionate team dedicated to driving innovation.

• Competitive salary and benefits package.

• Continuous learning and development opportunities.

Qualifications

• data science team management

• AI/ML technologies

• technical team mentoring

• python

• genai

Additional Information

Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian's people first approach is award-winning; World's Best Workplaces™ 2024 (Fortune Top 25), Great Place To Work™ in 24 countries, and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site to understand why.

Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

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