Entytle’s cloud-based software creates highly qualified opportunities for the aftermarket business, driving top-line growth, improved sales cycle time and predictable revenue. With Entytle, aftermarket sales teams have actionable and timely insights into customers’ needs and can close more sales in less time.
How? Our Aftermarket Engagement Platform aggregates and enriches customer data, analyzes customer history and behavior using sophisticated machine learning and statistical analysis, and surfaces actionable customer insights to drive aftermarket revenue growth.
Entytle is a 2016 Red Herring – North America Top 100 Company. The company has funding from Accel Partners, is based in Palo Alto, CA and is hiring awesome, entrepreneurial employees to join the rapidly growing team.
Entytle is looking for data scientists with hands on experience transforming unique data into amazing products. A typical day might include:
Developing machine learning software and statistical data models that can generalize across Entytle customers, but can automatically adapt to each of their individual features.
Brainstorm data product ideas with product management and data science teams and mentor junior team-members. Work with fellow engineers to build out parts of the infrastructure, effectively communicating your needs and understanding theirs.
Meet with external customers and understanding their businesses and their challenges.
Build intelligence into backend services to make them run smarter.
Industry experience with writing code (e.g. SQL, Python, R) and taking ML models/ algorithms to production.
Preference for 5+ years of industry experience (without PhD); at least 2-3+ years of industry experience with PhD.
This is not an entry level / new college graduate role.
You have to love data – this is what we do. We are looking for people who are excited about different and unique data sets, and all the ways that they could be used in order to improve user experience.
Proven knowledge with applied statistics and probability/ predictability data outputs
Keep up to date with cutting-edge machine learning/ big data methods and techniques
Experience presenting insights to executives and non-technical audiences around product analytics data
You are passionate about automating everything and applying scientific methods to solve business and engineering requirements
Shift quickly from deep thinking to implementing in production
Can thrive in team environments; using agile methodology and interacting with Product Leaders, Scientists and Engineers to solve technology’s greatest challenges
Learn quickly in a fast-paced, dynamic team environment
Completed a Bachelor’s and/or Master’s degree related to Computer Science, Statistics or related major studying AI (artificial intelligence), ML (machine learning), Data Science or Mathematics