Senior Manager, Analytics And Data Science

Summary

Join Twilio as an Engineering Manager for the Messaging Risk & Decision Platform! Lead a team of analysts using data to ensure Twilio's communications are trusted and compliant. This involves fraud detection, building machine learning models, and collaborating with stakeholders. You will mentor junior analysts, shape the organization's strategy, and oversee the development of fraud detection models. The role requires extensive experience in analytics and people management, along with strong technical skills. This remote position is based in India (specific locations listed) and offers competitive pay and benefits.

Requirements

• 10+ years of experience in analytics or data science roles with 5+ years of people management experience
• Proven experience of working with stakeholders from various orgs(Product, Engineering & Operations) and navigating ambiguous problems at scale
• Excellent knowledge SQL and intermediate knowledge of data manipulation language such as R/Python
• Prior experience of building statistical models (e.g. classification/regression model, product experimentation, NLP use cases)
• Team player and comfortable interacting with people from multiple disciplines

Responsibilities

• Be the go to person for any data related questions from business stakeholders & executive leadership
• Partner with the Product & Engineering teams to understand overall trust & safety strategy & develop a vision and roadmap for the analytics team to help drive data enabled decisions, simultaneously use data & storytelling to help shape the broader strategy for the organization
• Establish and proactively monitor key fraud metrics to measure the volume of fraud across different product channels(Email, Voice & SMS) and provide thought leadership in helping identify product interventions that would mitigate emerging risks
• Lead a team of data analysts, scientists, and annotation specialists to develop data-driven solutions that enhance trust and safety across the organization
• Mentor and develop the analytics team inline with individual aspirations & business requirements,, provide guidance on technical skills, and career growth
• Cultivate second line of leadership within the team who can independently manage initiatives with stakeholders
• Oversee the development, implementation & maintenance of machine learning models that help detect fraud in real time
• Help build dashboards & develop metrics that provide a single source of truth to the entire trust & safety organization across multiple Twilio channels(SMS, Voice & Email)
• Build & maintain data pipelines to ingest data from multiple sources & vendors to enrich fraud measurement metrics
• Use data to proactively identify gaps in our onboarding process & engineering systems being exploited by bad actors & help influence product roadmap & drive initiatives that reduce these gaps
• Collaborate cross-functionally with stakeholders in trust and safety and other relevant orgs to understand their data and analytics needs, and deploy effective trust and safety measures

Preferred Qualifications

• Experience managing geographically distributed teams in a full remote environment
• Prior experience managing large teams of 10+ ICs, involving specialists in variety of roles - data analysts, data scientists & data engineers
• Prior experience in trust & safety domain, having performed investigative analyses of new threats and trends and usage of data to optimize rules and policies that defend against these threats

Benefits

• Competitive pay
• Generous time-off
• Ample parental and wellness leave
• Healthcare
• A retirement savings program