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GTM Staff Data Scientist
Posted on 5/12/2022
INACTIVE
Locations
Remote • United States
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
AWS
Data Analysis
Data Science
Data Structures & Algorithms
Marketing
Sales
Salesforce
SQL
Natural Language Processing (NLP)
Python
Operations Research
Requirements
  • 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
Responsibilities
  • 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
  • Based in Colorado: $145,520 - $181,900
  • Based in New York or Washington State: $154,080 - $192,600
  • Based in the San Francisco Bay area, California: $171,120 - $213,900
  • This role is eligible to participate in Twilio's equity plan and the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave
Desired Qualifications
  • Experience with AWS SageMaker, Databrics, MLFlow, or Kubeflow is a plus but not required
Twilio

5,001-10,000 employees

Customer engagement platform & developer of communications APIs
Company Overview
Twilio's mission is to fuel the future of communications. By making communications a part of every software developer's toolkit, Twilio is enabling innovators across every industry to reinvent how companies engage with their customers.
Benefits
  • Vacation: Twilio offers generous annual time off in all countries for you to enjoy.
  • Healthcare: We are dedicated to helping our employees live longer and healthier lives through comprehensive health programs.
  • Retirement: Twilio cares about your retirement! We offer programs to help our employees plan for their retirement needs.
  • Family leave: At Twilio we recognize the importance of family. We offer generous maternity, paternity, and adoption leaves, as well as family medical care leave.
  • Earn your stripes: Build and present a Twilio app to earn your Twilio track jacket and receive $30 per month for e‑books for continued learning and education.
  • Catered meals: We provide a variety of snacks, drinks, and catered meals in each of our locations.
Company Core Values
  • Build a more‑connected world
  • Be great, do good, scale fast
  • The work of our lives