Data Scientist (Location Flexible)
Role Description
As a GTM Data Scientist, you will play a crucial role in areas such as analytical hypothesis validation, business case building, and creating data-driven targeting solutions to help our sales teams find the best opportunities to land, expand, and retain our customers. You will liaise with senior revenue leaders to define priorities, and work with a number of teams across the business to learn more about our customers, and deliver thoughtful analytical solutions.
The ideal candidate is a self-starter, independent thinker, deeply analytical, and not afraid of carving a path forward in ambiguous situations. You will relish the chance to roll up your sleeves, get to grips with vast datasets, deeply understand our go-to-market strategy, and propose bold, innovative solutions to a wide variety of problems.
Responsibilities
- Running strategic analyses to validate hypotheses for our revenue leadership team
- Building business cases based on historical usage and purchase trends, to advocate for new ways to go to market
- Developing scoring systems to help our sales teams prioritize which customers to talk to, and which products to recommend
- Working with our machine learning team to develop propensity models to understand holistic account health, and identify potential deployment and churn risks
Requirements
- Experience in analysis or data science for a technology company
- Strong analytical skills: fluency with Excel/Tableau, and experience working in SQL (Hive/Snowflake)
- [Nice to have] Deeper technical skills: background in statistical modelling/programming (Python/R), data science, experimentation, or software engineering (with a focus on workflow automation); understanding of basic machine learning techniques (regressions, tree-based models, clustering, SVMs)
- [Nice to have] Experience supporting the sales process for a SaaS company (e.g. as a sales engineer/solutions architect)
- Strong communication skills: ability to craft a data-driven narrative for audiences for a variety of technical skills; the ability to influence without authority and act as an evangelist for our team as you build relationships with teams across the company
- Creativity and user-centricity: a willingness to learn from our stakeholders, think outside the box, and take bold bets to improve the way we go to market