Staff Data Scientist

About Twilio

At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions!

See yourself at Twilio

Join the team as Twilio’s next Staff Data Scientist.

About The Job

This position is needed to drive advanced analytics and data science solutions that optimize sales performance and enable data-driven decision-making across the Go-To-Market organization. As a Staff Data Scientist, you will accelerate growth and efficiency in Twilio’s sales efforts by building predictive models, improving measurement frameworks, and surfacing actionable insights. Working within a centralized enterprise technology team, you’ll partner closely with marketing and sales, collaborating with data engineers, analysts, and fellow data scientists to create high-impact solutions that power Twilio’s go-to-market strategy and business decisions.

Responsibilities

• 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 such as Looker or Tableau.
• 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.

Qualifications

Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!

Required

• 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.

Desired

• Familiarity with productionizing machine learning models in cloud environments.
• Experience with Git version control and workflow best practices.
• Advanced knowledge of data visualization and feature engineering.
• Experience working in enterprise B2B SaaS environments.
• Expertise in mathematical optimization and ETL processes.
• Familiarity with generative AI and deep learning approaches.
• Experience influencing senior leadership and driving organizational change through analytics.
• Master's or PhD in a quantitative field.

Location

This role will be remote and based in the USA. This role will be remote, but is not eligible to be hired in CA, CT, NJ, NY, PA, WA. This role will be remote, but is not eligible to be hired in San Francisco, CA, Oakland, CA, San Jose, CA, or the surrounding areas.

Travel

We prioritize connection and opportunities to build relationships with our customers and each other. For this role, approximately 5% travel is anticipated to help you connect in-person in a meaningful way. We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings.

What We Offer

Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.

Compensation

Please note the salary range information provided applies only to candidates residing in California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State due to local requirements. Compensation for candidates in other locations will be discussed during the hiring process. Please note that hiring for this role is not restricted to the locations listed above. The estimated pay ranges for this role are as follows: Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $155,520.00 (Developing Minimum for Tier 3) - $194,400.00 (Mid for Tier 3). Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $164,640.00 (Developing Minimum for Tier 2) - $205,800 (Mid for Tier 2). Based in the San Francisco Bay area, California: $182,960.00 (Developing Minimum for Tier 1) - $228,700.00 (Mid for Tier 1). This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location.

Key skills/competency

• Data Science
• Predictive Modeling
• Machine Learning
• SQL
• Data Analysis
• Python
• R
• Looker
• Tableau
• Go-To-Market Strategy