CLVmetrics |Full Stack Engineer - Early Employee | Philadelphia and NYC | Onsite w/ some Remote
CLVmetrics is revolutionizing the way brands understand their customer base and their marketing initiatives by providing every marketer with an instant, accurate prediction of the long term, lifetime value of every customer. Our technology equips marketing professionals with the predictive intelligence they need to quickly and easily discover who their highest value customers will be in the future, retain those customers for the long term, and acquire more customers like them.
Our approach is horizontal and we're taking our fast, accurate, and actionable predictive intelligence engine to companies of all sizes across many verticals. We are revolutionizing how marketers interact with hundreds of millions of customers each and every day. We need you as we are building a world-class team of engineers, data scientists, statisticians, marketers and more to bring this enterprise-grade predictive technology to life.
We are looking for Full Stack Engineers with a passion for dreaming up efficient and scalable cloud-based technologies and then making those dreams into a reality through elegant code. In a sea of open-source technology, you know the right tool for the job and if you haven’t used that tool before, you are eager to master it and add it to your arsenal.
You will be working directly with our statisticians and data scientists to push the boundaries of predictive models for customer lifetime value and consumer behavior in terms of both theory and implementation. As a full stack engineer, you’ll be developing different pieces of the application from our predictive intelligence engine through the user interfaces which companies to discover who will be their most valuable users in the future.
Our stack includes Python, C++, and Javascript and technologies we're currently working with include:
CLVmetrics |Lead Front-End Engineer - Early Employee | Philadelphia, PA w/ NYC 2016 | Onsite w/ some Remote
CLVmetrics (http://www.clvmetrics.com) is a technology company with a simple but important belief: companies should treat their customers differently based on each customer’s lifetime value (CLV) to the business. Our goal is to enable firms to do so by providing access to the cutting-edge statistical models of co-founder Wharton Professor Peter Fader that forecast customer behavior far into the future.
To accomplish this goal and allow companies to implement customer-centric marketing strategies, our world-class team of statisticians, marketers, and engineers is building an enterprise-grade cloud-based analytics suite to commercialize our own award-winning research on consumer behavior, marketing theory, and statistics. Our team has the technical expertise across stack to implement our models at scale, and we are looking to add an expert front-end developer to the team to help us design and develop a stunning front-end that will allow our customers to discover novel insights about their customers, develop marketing interventions around CLV, and track the results of those actions.
Candidates should be comfortable with React/Angular and a visualization library such as d3. Candidates should also have a strong sense for UI/UX.
The key challenges that you will face are:
-Presenting a new metric: Predictive CLV is a new metric that has never been accessible before. The success of its penetration depends critically on effective communication to our clients.
-Visualization of massive data sets: We need to present output from millions of customers and billions of transactions in an elegant and simple-to-understand fashion.
-Design for different stakeholders: We need dashboards and visualizations appropriate for a range of audiences from performance marketers to the C-suite.
CLVmetrics |Lead Front-End Engineer - Early Employee | Philadelphia, PA w/ NYC 2016 | Onsite w/ some Remote
CLVmetrics (http://www.clvmetrics.com) is a technology company with a simple but important belief: companies should treat their customers differently based on each customer’s lifetime value (CLV) to the business.
Our goal is to enable firms to do so by providing access to the cutting-edge statistical models of co-founder Wharton Professor Peter Fader that forecast customer behavior far into the future.
To accomplish this goal and allow companies to implement customer-centric marketing strategies, our world-class team of statisticians, marketers, and engineers is building an enterprise-grade cloud-based analytics suite to commercialize our own award-winning research on consumer behavior, marketing theory, and statistics.
Our team has the technical expertise across stack to implement our models at scale, and we are looking to add an expert front-end developer to the team to help us design and develop a stunning front-end that will allow our customers to discover novel insights about their customers, develop marketing interventions around CLV, and track the results of those actions.
Candidates should be comfortable with a major JS framework such as React/Angular and a visualization library such as d3. Candidates should also have a strong sense for UI/UX.
The key challenges that you will face are:
-Presenting a new metric: Predictive CLV is a new metric that has never been accessible before. The success of its penetration depends critically on effective communication to our clients.
-Visualization of massive data sets: We need to present output from millions of customers and billions of transactions in an elegant and simple-to-understand fashion.
-Design for different stakeholders: We need dashboards and visualizations appropriate for a range of audiences from performance marketers to the C-suite.
CLVmetrics |Lead Front-End Engineer - Early Employee | Philadelphia, PA w/ NYC 2016 | Onsite w/ some Remote
CLVmetrics (http://www.clvmetrics.com) is a technology company with a simple but important belief: companies should treat their customers differently based on each customer’s lifetime value (CLV) to the business.
Our goal is to enable firms to do so by providing access to the cutting-edge statistical models of co-founder Wharton Professor Peter Fader that forecast customer behavior far into the future.
To accomplish this goal and allow companies to implement customer-centric marketing strategies, our world-class team of statisticians, marketers, and engineers is building an enterprise-grade cloud-based analytics suite to commercialize our own award-winning research on consumer behavior, marketing theory, and statistics.
Our team has the technical expertise across stack to implement our models at scale, and we are looking to add an expert front-end developer to the team to help us design and develop a stunning front-end that will allow our customers to discover novel insights about their customers, develop marketing interventions around CLV, and track the results of those actions.
Candidates should be comfortable with a major JS framework such as React/Angular and a visualization library such as d3. Candidates should also have a strong sense for UI/UX.
The key issues that you will face are:
-Presenting a new metric: Predictive CLV is a new metric that has never been accessible before. The success of its penetration depends critically on effective communication to our clients.
-Visualization of massive data sets: We need to present output from millions of customers and billions of transactions in an elegant and simple-to-understand fashion.
-Design for different stakeholders: We need dashboards and visualizations appropriate for a range of audiences from performance marketers to the C-suite.
If these engineering challenges excite you, please contact [email protected].
CLVmetrics is revolutionizing the way brands understand their customer base and their marketing initiatives by providing every marketer with an instant, accurate prediction of the long term, lifetime value of every customer. Our technology equips marketing professionals with the predictive intelligence they need to quickly and easily discover who their highest value customers will be in the future, retain those customers for the long term, and acquire more customers like them.
Our approach is horizontal and we're taking our fast, accurate, and actionable predictive intelligence engine to companies of all sizes across many verticals. We are revolutionizing how marketers interact with hundreds of millions of customers each and every day. We need you as we are building a world-class team of engineers, data scientists, statisticians, marketers and more to bring this enterprise-grade predictive technology to life.
We are looking for Full Stack Engineers with a passion for dreaming up efficient and scalable cloud-based technologies and then making those dreams into a reality through elegant code. In a sea of open-source technology, you know the right tool for the job and if you haven’t used that tool before, you are eager to master it and add it to your arsenal.
You will be working directly with our statisticians and data scientists to push the boundaries of predictive models for customer lifetime value and consumer behavior in terms of both theory and implementation. As a full stack engineer, you’ll be developing different pieces of the application from our predictive intelligence engine through the user interfaces which companies to discover who will be their most valuable users in the future.
Our stack includes Python, C++, and Javascript and technologies we're currently working with include:
- Apache Mesos
- Apache Spark
- React.js
Please email [email protected] to apply.
Also check out http://www.clvmetrics.com to see more roles we're hiring for including frontend and backend engineers as well as data scientists.