Revieve helps brands, retailers and ecommerce platforms transform the beauty customer experience by enabling unique, personalized engagement with skincare, health, wellness and color cosmetics products.
Headquartered in Chicago and Helsinki, Revieve pioneered “selfie” analysis and virtual try-on solutions technology. The Revieve platform builds business value for partners by creating customized interactive consumer experiences across all touchpoints – from online and in-app to in-store screens, digital and social platforms.
The company’s core technology is The Revieve Digital Beauty Advisor, a proprietary self-diagnostic platform that personalizes the shopping experiences for skincare and cosmetics. The AI Skincare Advisor is easy to use. Consumers can upload a selfie photo and the platform will instantly provide detailed diagnostics and recommendations of specific products and treatments tailored to their needs and personal preferences. The AR Makeup Advisor allows consumers to “try” cosmetics before they buy through digital makeup sampling and try-on features that are visually engaging and fun to use.
Revieve is leading the beauty AI/AR revolution with their retail, brand and ecommerce provider partners. Together these innovators are reinventing the shopper experience through search, education, recommendation and purchasing journeys across a variety of devices—from in-store screens to consumers personal smart phones.
Ok. And you’re looking for?
With skyrocketing customer demand, we're looking for a superstar Data Scientist to help us throughout the organization to identify and act on opportunities for leveraging Revieve’s data to improve our product recommendations, computer vision, augmented reality and analytics products.
Working as a key member of our technology team, you'll be responsible making sure we take advantage of our data to its fullest potential, continuously bringing more value to our clients.
Some examples include:
-Leverage Revieve’s data to improve product recommendations, computer vision, augmented reality and analytics products.
-Participate in the development of a custom deep learning model for tracking facial landmarks in real-time.
-Mine and analyze data to drive optimization and improvement of product development, marketing techniques and business strategies.
-Enhancing data collection procedures to include information that is relevant.
-Processing, cleansing, and verifying the integrity of data used for analysis and product recommendations
-Develop processes and tools to monitor and analyze model performance and data accuracy
...and many more
What’s the offer?
We're offering you a front-row seat withing a truly transformative, market leading tech firm, an international atmosphere (we represent 12 nationalities from four continents to-date) , a competitive salary and benefits package all wrapped up in a creative and fully remote working environment.
Ok I’m getting convinced. What do you really value in this role?
We set the bar high. We expect you to be technically capable, ambitious, intelligent, articulate, curious and hungry. Furthermore, we need you to be confident, yet humble and impress with the substance you bring to the table.
We care about what you can bring to role. Since we’re a geographically distributed team, we expect you to be a great communicator and an absolute team player.
We expect you to know what it's like to work in a fast growing company. We expect you to have a strong bias for action.
Enough already, let’s get to the application part. How do I apply?
Besides sending us the most kick-ass application you’ve ever written (and your CV), let us know what makes you stand out from the crowd and which specific experience from your past you think best equips you for the role. In addition, please include any relevant links that might help us see that you are the person we’ve been looking for (github, past projects, portfolio, etc).
Oh! and one more thing. In your application tell us which brand or retailer do you think is doing the best job at providing a personalized customer-experience and why.
We can’t wait to hear from you!