Senior Data Scientist
Role and Responsibilities
- Lead Projects: Drive end-to-end development of machine learning or data solutions for various problems including customer acquisition, cost optimization, and marketing optimization.
- Business Impact: Collaborate with stakeholders to identify gaps, prioritize projects, and deliver measurable outcomes.
- Technical Excellence: Mentor junior/mid-level team members, provide actionable feedback, and solve complex technical challenges, including exploring new methodologies.
- Process Improvement: Optimize workflows, reduce costs, and lead Data Science (DS) initiatives to enhance team performance.
- Stakeholder Management: Effectively run meetings with internal and external stakeholders, ensuring alignment and progress.
Qualifications
- 5+ years of experience as a Data Scientist, with demonstrated ability to lead projects and mentor team members.
- Demonstrated ability to research and solve technical challenges in new or ambiguous areas.
- Excellent problem-framing, communication, and stakeholder management skills.
- Experience leading technical projects, managing risks, and prioritizing resources effectively.
- Proven expertise in advanced statistical methods, ML/NLP techniques (classification, regression, clustering, etc.), and model deployment.
- Proficiency in Python, PySpark, and SQL for large-scale data processing.
- Ability to translate complex data solutions into business outcomes.
Preferred Skills
- Experience in banking, financial services, or related industries or strong business acumen
Our Benefits
- MacBook to facilitate your day-to-day work
- Work from anywhere 3 days/week
- Freedom to dress
- Annual leave / birthday leave / etc.
- Provident fund
- Health Insurance
- LGBTQ benefit
*This position requires a criminal background check.
