Senior Data Scientist

As a Senior Data Scientist on Data Science & Analytics, GTM, you will use data to help Twilio Segment hone our understanding of Sales, Marketing, and Finance, and help stay on top of emerging business trends. You will work closely with GTM leaders and business partners to bring to light actionable insights to more efficiently run the business. You thrive at wrangling large amounts of data, building complex models, and scaling and automating processes, and have a demonstrated track record of excellence in project management, business sense, and cross-functional teamwork.

Own financial source of truth tables, performing analytics engineering to build & improve on the existing data model
Implement dashboards & data science models using Python, Tableau, Looker, and open source libraries
Utilize an industry-leading analytics portfolio to support key functional & business priorities (e.g., sales funnel, pipeline generation, financial modeling).
Develop and maintain models and deliver data-driven insights, analyzing pipeline health and business drivers, and developing strategies and solutions to drive results for GTM.
Work with Sr. Directors and Directors throughout Twilio to frame business opportunities and develop appropriate analytic strategies. Ensure the appropriate analytical techniques are used to solve those business opportunities.
The successful candidate will be instrumental in driving greater insight and measurement of finance, sales, & marketing and identifying benchmarks for success, leading to improved GTM strategies and increased conversion.
Generate insights and recommendations through exploratory analysis, hypothesis testing, and statistical modeling
Drive cross functional analytics projects from beginning to end: build relationships with partner teams, collect and analyze data, and present key insights and recommendations to drive business improvements
Perform in-depth analyses to understand the quality of our prospects and opportunities, refine customer personas, increase return on ad spend, and support upsell motions
Design, build and maintain data models that the finance & marketing teams can use for reporting and deriving insights

Have 7+ years of work experience, with experience at B2B SaaS companies
MS/PhD in a quantitative or technical field
Expert level SQL skills and dashboarding skills in tools like Looker or Tableau
Strong grasp of statistical modeling and tools such as Python, DBT, Github, Snowflake, and Segment
Comfortable diving into large, complex datasets and data systems
Have strong business acumen and a deep sense of curiosity