Head of Data Science

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

Full-time

Employee Status: Regular

Role Type: Hybrid

Department: Analytics

Schedule: Full Time

**Company Description**:
Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realize their financial goals and help them save time and money.

We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments.

**Location**: São Paulo, SP

**Department**: DataLab (Corporate Innovation Lab)

**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.
- 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.
- 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).
- 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.

Experian Careers - Creating a better tomorrow together

**Job Location**:
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