About Us
Reachdesk is a cutting edge sending platform that allows companies to deliver gifts and direct mail that build deeper connections with customers, prospects and employees at the click of a button. Our integrations with sales and marketing tech stacks power a clear and quantifiable ROI; the direct channel is no longer a guessing game. We work with some of the world’s leading brands in B2B including ZoomInfo, Hootsuite, Zscaler and Barracuda. Reachdesk enables companies to deliver moments that matter at scale, globally, throughout the entire customer lifecycle.
Reachdesk has just raised $43m in Series B funding and we've been recognis(z)ed as one of the Top 5 Fastest Growing Products for 2021. We're assembling a world-class global team, our headcount has grown to over 150 over the course of the last year across London, Lisbon and NY offices, with stratospheric growth and exciting product releases en route!
The Role
We are looking for a Senior Data Scientist to join our team and lead the development of our recommendation engine. You will be responsible for setting up the systems that we will be using to help our customers become experts at gifting. Using our experience and data you will develop a novel recommendation engine that will help our customers to maximize their return on investment by recommending when, what and to whom to give. You will be working closely with other members of the data science team, software engineers and our sales and marketing teams to deliver this engine - we have the advantage that we use our own product, converting that knowledge into a model is your challenge!
In addition to leading the recommendation engine you will also be involved in other areas of the data science workload, where we will be exploring ways of measuring value to customers, predicting outcomes, supporting our warehousing team with inventory management and load predictions, or anything else you can think of! You will also be expected to support and develop junior data scientists and take an active role in the development of a new team in a fast growing, young company. We want this team to have a big impact on the company and you will have the opportunity to help shape how we do that. We believe that diversity increases team performance and will help us achieve our mission sooner, with that aim we’re actively seeking applications from candidates of all backgrounds.
What We Are Looking For
We do not believe that people live in boxes but we do feel that to thrive in this role you should have:
- Experience designing and implementing recommendation systems into production.
- Fluent in SQL and Python (and its data science packages including Pandas, numpy, scipy).
- Experience with a variety of machine learning & deep learning packages, for example TensorFlow, Keras, PyTorch, scikit-learn, XGBoost.
- Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
- Knowledge of advanced statistical techniques and concepts (regression, statistical distributions, statistical tests, and proper usage, etc.) and experience with applications.
- Analytical degree to Masters level or higher (fields such as statistics, mathematics, physics, astronomy, engineering).
- 4+ years experience as a data scientist or undertaking similar analyses.
- Fluent English
It would also be nice if you could show that you have:
- Experience leading projects - you can gather requirements, scope them out, produce a plan and deliver to that plan, whilst keeping key stakeholders engaged and updated.
- Start-up mindset - you know how to generate something from scratch.
- Cross functional communicator - you know how to tell the story in an audience-oriented way to product, engineering, data science, BI, sales or anyone else who asks.
- Agile approach - you can break a task down into actionable components.
- A desire for personal growth. You strive to get better each day and inspire your colleagues to get stronger. This is critical for us. We love hearing stories about great mentors, that interesting article you just read, or the time you pushed yourself outside your comfort zone.
We Offer
- A friendly atmosphere while working with a dynamic team of professionals.
- Great company culture.
- Competitive salary.
- An opportunity to grow quickly with a company that is breaking new grounds.
- Unlimited PTO.
- Flexible hours.
Our Hiring Process
Our hiring process is straightforward and designed with simplicity in mind to find the best match for our team.
- We start by assessing your background with a screening call.
- You will then meet with the manager of the team you will be working in.
- The final step is a technical challenge which you will work on offline then present to senior members of the team.