Senior Data Scientist

See yourself at Twilio

Join the team as Twilio’s next Senior Data Scientist, R&D.

About the job

This position is needed to uncover analytical insights that quantify product performance and shape product strategy. Our Data Science and Analytics team seeks to empower R&D to make data-backed decisions that accelerate innovation and improve product performance. We work closely with Product Managers to define product metrics and build self-serve reporting; measure the impact of product releases; and do analyses to shape strategic decisions. 

Responsibilities

In this role, you’ll:

• Drive the definition and development of data science solutions to business problem statements from beginning to end: build relationships with partner teams, collect and analyze data, and develop recommendations to inform strategic decisions
• Generate insights and recommendations through exploratory analysis, A/B testing, and statistical modeling
• Work with product managers to design and analyze experiments to measure the impact of new features and develop a data-driven narrative on how their product is performing for use in monthly reviews
• Collaborate with data producers and consumers during the product development lifecycle to ensure consistent data quality and availability for reporting post launch. 

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

• 2+ years of professional experience in an analytics or data science role
• Advanced expertise using SQL to derive insights and in using dashboarding tools like Looker or Tableau to create compelling self-serve reports for product or business stakeholders
• Intermediate expertise in Python (e.g. pandas, numpy, scikit-learn) for data manipulation, analysis, and statistical modeling (e.g., clustering, forecasting, or decision trees)
• Familiarity with causal inference techniques such as A/B testing, propensity matching, or synthetic control
• Demonstrated ability to map business problem statements to an appropriate data science technique
• Answer-first, succinct communication; ability to communicate across technical and non-technical audiences

Desired

• 4+ years of professional experience in a product-focused analytics or data science role, with 2+ years of experience in a B2B SaaS context
• Bachelor’s and Master’s in a quantitative
• Familiarity with machine learning techniques
• Experience with data warehousing and/or ETL processes, including distributed computing technologies such as Hive, Presto, or Spark

Location

This role will be remote, but is not eligible to be hired in CA, CT, NJ, NY, PA, WA.

Travel 

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

The estimated pay ranges for this role are as follows:

• Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $141,520.00 to $176,900.00
• Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $149,840.00 to $187,300.00
• Based in the San Francisco Bay area, California: $166,400.00 to $208,000.00
• 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.

Applications for this role are intended to be accepted until 2/28/2026, but may change based on business needs.