Staff, Data Scientist (L4) GTM Data Science & Analytics

## About the Role As a Staff Data Scientist at Twilio, you will play a critical role in driving the company's go-to-market strategy through advanced analytics and data science solutions. This is a remote position, offering the flexibility to work from anywhere in the US. Your day-to-day responsibilities will involve collaborating closely with the sales and marketing teams to identify high-impact opportunities, designing and implementing predictive models, and developing robust dashboards to inform business decisions. You will be part of a centralized enterprise technology team, working alongside data engineers, analysts, and fellow data scientists to create high-impact solutions that power Twilio's business growth.

The role of a Staff Data Scientist at Twilio is not just about analyzing data; it's about using data to tell a story that drives business outcomes. You will have the opportunity to work with a wide range of stakeholders, from sales and marketing teams to executive leadership, to provide insights that inform strategic decisions. Your work will have a direct impact on the company's ability to optimize sales performance, drive revenue growth, and deliver exceptional customer experiences.

Twilio is committed to a culture of innovation, experimentation, and continuous learning. As a Staff Data Scientist, you will be encouraged to stay up-to-date with the latest advancements in data science and AI, and to apply that knowledge to drive business outcomes. You will have access to a wide range of tools and technologies, including SQL, Python, R, and business intelligence platforms like Looker or Tableau.

## What You Will Do - Design, implement, and deploy predictive models and algorithms to inform sales strategies and drive measurable improvements - Develop and maintain robust dashboards and analytics tools using SQL and business intelligence platforms - Collaborate with go-to-market partners, including sales and marketing, to identify high-impact data science opportunities - Communicate complex analyses and recommendations to technical and non-technical stakeholders, including presenting to executives - Continuously refine metrics, measurement frameworks, and data pipelines to optimize accuracy and efficiency - Partner with data engineers to design and implement scalable data architectures that support business growth - Stay up-to-date with industry trends and emerging technologies in data science and AI - Develop and maintain technical documentation of data science projects and methodologies - Collaborate with cross-functional teams to identify opportunities for process improvements and implement solutions - Provide training and support to junior data scientists and analysts to help them develop their skills

## What We Are Looking For - 8+ years of relevant experience in data science or advanced analytics roles - Expert-level SQL skills and dashboarding proficiency (e.g., Looker, Tableau) - Advanced programming experience in Python or R - Deep experience with statistical modeling, machine learning, and data analysis techniques - Strong verbal and written communication skills, including executive-facing presentations - Experience supporting Go-To-Market (GTM) and Sales organizations - Proven ability to synthesize complex problems and deliver actionable insights - Experience collaborating with cross-functional partners, including engineers, analysts, and business stakeholders - Strong understanding of data visualization principles and practices - Experience with agile development methodologies and version control systems (e.g., Git)

## Nice to Have - Experience with cloud-based data platforms (e.g., AWS, GCP, Azure) - Knowledge of natural language processing (NLP) or computer vision techniques - Experience with containerization (e.g., Docker) and orchestration (e.g., Kubernetes) - Familiarity with DevOps practices and tools (e.g., Jenkins, CircleCI) - Experience with data science platforms (e.g., DataRobot, H2O.ai)

## Benefits and Perks - Competitive salary and bonus structure - Comprehensive health, dental, and vision insurance - 401(k) plan with company match - Flexible PTO policy and paid holidays - Remote work stipend and equipment allowance - Access to professional development opportunities and training - Participation in Twilio's employee stock purchase plan - Discounts on Twilio products and services - Opportunities for career growth and advancement

- Highlight your technical skills: Make sure your resume and cover letter showcase your expertise in SQL, Python, R, and data visualization tools like Tableau or Looker.

• Prepare to talk about your experience: Be ready to discuss your experience working with sales and marketing teams, and how you've used data science to drive business outcomes.
• Showcase your communication skills: As a Staff Data Scientist, you'll be working with both technical and non-technical stakeholders, so be prepared to demonstrate your ability to communicate complex ideas simply and effectively.
• Be prepared to discuss your approach to problem-solving: The interviewer will want to know how you approach complex problems, and how you use data to inform your decisions.
• Research Twilio's culture and values: Show that you've done your homework on the company's mission, values, and culture, and be prepared to discuss how your own values and approach align with theirs.
• Be ready to talk about your experience with agile development methodologies: Twilio uses agile development methodologies, so be prepared to discuss your experience with these approaches and how you've applied them in previous roles.
• Don't be afraid to ask questions: The interview is a two-way conversation, so don't be afraid to ask questions about the role, the team, and the company.