
Data Science Tech Lead – Credit
ASAAS
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇧🇷 Brazil
Visit company websiteJob Level
Senior
Tech Stack
PythonSQLTableau
About the role
- Guide and develop the cross-functional data team within a credit context
- Ensure the definition, monitoring, and reliability of credit metrics, KPIs, and dashboards that guide the evolution of customer experience and business impact
- Lead the implementation of experiments (A/B tests), advising the team on statistical methodologies and best practices for causal inference
- Collaborate with Product Managers, Designers, Engineers, and Credit leadership to identify improvement opportunities, formulate hypotheses, and measure impact
- Review team code and deliverables, providing technical feedback and ensuring quality
- Track product and data trends, introducing innovations that enhance the company’s competitiveness
- Foster a collaborative, impact-oriented work environment
Requirements
- Degree or equivalent practical experience in Data Analysis/Science, Computer Science, Information Systems, Engineering, Economics, or related fields
- Strong experience in SQL
- Experience in Python, including statistical analysis and experimentation
- Experience with agile methodologies and leading data teams in a credit context
- Knowledge of statistics applied to hypothesis testing and credit experiments
- Ability to communicate clearly and accessibly to different audiences (technical and non-technical)
- Experience with code versioning (GitHub)
- Professional experience with BI tools (Metabase, Power BI, Tableau, etc.)
Benefits
- Medical and dental insurance with no co-pay
- Life insurance
- Medication assistance
- Support for fitness activities
- Financial wellness partner (Neon)
- Zenklub for mental and physical health (4 free monthly sessions for therapy or nutritionist)
- Quick massages at headquarters
- Flexible meal benefit (credit card, Visa)
- Free meals at headquarters
- Childcare allowance
- Parental support program
- Extended maternity and paternity leave
- In-company training platform
- Education assistance (70% subsidy for tuition of degrees and language courses)
- Funding to purchase courses and books
- Home office allowance
- Work equipment provided
- Furniture allowance
- Partnership with WOBA for coworking spaces
- Birthday day off
- Happy hour allowance
- Referral bonus for new hires
- Bonus based on annual targets
- Stock option plan
- Relaxed, dress-code-free work environment
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
SQLPythonstatistical analysisA/B testinghypothesis testingdata analysisdata scienceagile methodologiescode versioningBI tools
Soft skills
collaborationcommunicationleadershiptechnical feedbackimpact-oriented mindset