See yourself at Twilio

Join the team as our next GTM Staff Data Scientist!

Who we are & why we’re hiring

Twilio powers real-time business communications and data solutions that help companies and developers worldwide build better applications and customer experiences.

Although we're headquartered in San Francisco, we have presence throughout South America, Europe, Asia and Australia. We're on a journey to becoming a globally anti-racist, anti-oppressive, anti-bias company that actively opposes racism and all forms of oppression and bias. At Twilio, we support diversity, equity & inclusion wherever we do business. We employ thousands of Twilions worldwide, and we're looking for more builders, creators, and visionaries to help fuel our growth momentum.

About the job

This position is needed to maximize the impact of a vast amount of data to generate actionable insights and build ML models to drive go-to-market efficiency. You will help lead the growing data science team and have experience delivering end-to-end machine learning projects. You thrive on ambiguity and enjoy the frequent pivoting that comes with that exploration. You are passionate about applying practical machine learning to go-to-market use cases that drive sales efficiency and productivity.

Responsibilities

In this role, you’ll:

• Apply artificial intelligence and machine learning techniques to drive sales efficiency and productivity (e.g., by building models like new logo propensity, next-best-product recommendation engines, etc.).
• Extrapolate data-driven insights using advanced, predictive statistical modeling and testing applied to data acquired and cleansed from diverse sources.
• Mentor a team of junior and senior data scientists.
• Interact and collaborate with cross-functional teams (Sales, Marketing, Finance, and Product) to define requirements and propose new ML models to drive business impact.
• Provide and inspire data science innovations that fuel the growth of sales and Twilio as a whole.
• Provide technical data science leadership across multiple teams to help guide data-driven strategies.
• Understand and teach proven methods and hacking skills in working with divergent data types at scale.
• Provide GTM and Sales stakeholders the entrepreneurial guidance essential for appropriately interpreting and building on findings and fully exploiting the insights revealed through the research.

Qualifications 

Not all applicants will have skills that match a job description exactly. Twilio values diverse experiences in other industries, and we encourage everyone who meets the required qualifications to apply. While having “desired” qualifications make for a strong candidate, we encourage applicants with alternative experiences to also 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:

• BS, MS, or PhD in an appropriate technology field (Data Science, Computer Science, Statistics, Applied Math, Econometrics, Operations Research, etc.)
• 4+ plus years experience in data science, with a focus on predictive modeling.
• Expertise in Python, with expert command of machine learning libraries. 
• Strong proficiency in SQL.
• Expertise in machine learning and statistical modeling techniques such as clustering, classification, regression, decision trees, neural nets, support vector machines, genetic algorithms, anomaly detection, recommender systems, and natural language processing.
• Experience with the full end-to-end data science lifecycle : Requirements gathering, Feature Engineering, Feature Selection, Model Building, Model evaluation, Model Deployment.
• Impeccable attention to detail and strong ability to convert complex data into insights and action plans.
• Able to effectively communicate a vision and inspire others to innovate.

Desired:

• Experience with AWS SageMaker, Databrics, MLFlow, or Kubeflow is a plus but not required.

Location 

This role will be remotely based in the United States.

What We Offer

There are many benefits to working at Twilio, including, in addition to competitive pay, things like generous time-off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.

Twilio thinks big. Do you?

We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic. Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts.

So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now!

If this role isn't what you're looking for, please consider other open positions.

(Location dependent information)

Colorado applicants: 

• The estimated pay range for this role, based in Colorado, is $145,520.00 - $181,900.00.
• Additionally, this role is eligible to participate in Twilio's equity plan.

The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location within the state. This role is also eligible to participate in Twilio’s equity plan and for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave.

#LI-REMOTE