Senior Data Scientist, Causal Inference

**Overview:** - Tala aims to empower the economic potential of the Global Majority through innovative financial services. - Serving millions across Kenya, the Philippines, Mexico, and India with a focus on financial inclusion. - Expanding globally with a remote-first approach and multiple international offices. - Seeking a Senior Data Scientist – Causal Inference to advance data science initiatives for financial inclusion. **Key Responsibilities:** - Lead data science projects to uncover cause-and-effect relationships. - Manage the modeling process, from problem definition to deployment and monitoring. - Collaborate with stakeholders to identify, test, and implement data science solutions. - Develop and deploy machine learning products, focusing on real-time inference and after-sale service. - Design and analyze large-scale online experiments. - Mentor junior team members and influence company strategy through data insights. **Requirements/Skills/Qualifications:** - 4+ years of experience in data science or equivalent position. - 2+ years in a senior/lead role with machine learning solutions. - Proficiency in Python, SQL, and machine learning packages. - Experience with the full modeling cycle and causal modeling techniques. - Strong statistical knowledge, experimental design, and analysis skills. - Excellent collaboration and communication skills, with a focus on data storytelling. - Ability to thrive in complex environments and champion robust systems. **Compensation & Benefits:** - Salary range: $140,000 - $170,000 per year. - Tala's vision of a financially inclusive ecosystem. - Commitment to diversity and equal opportunity employment. (Note: Specific details on benefits were not provided in the job description.)