Head of Data Science Gerente Executivo de Cincia de Dados

Location: So 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 tokeneconomy (DREX). The ideal candidate will be fluent in modern data science tech stacks both hybrid cloudbased and onpremises.

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 firstparty data to drive insights and data product development.
• Integrate nextgeneration applications and platforms with existing legacy systems to ensure seamless data flow and interoperability.
• Collaborate with crossfunctional 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 labs capabilities.
• Mentor and develop team members fostering a culture of continuous learning and improvement.

Qualifications:

• Bachelors and Masters 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
  • 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) problemsolving 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 nextgeneration applications and platforms with legacy data stacks.
• Knowledge of Brazilian data governance and compliance regulations.

Why Join Us:

• Opportunity to lead a cuttingedge innovation lab and make a significant impact on the companys 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. Experians 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. Experians people first approach is awardwinning; Worlds 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 Experians 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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Remote Work :

No

Employment Type :

Fulltime