As a Data Scientist at 9GAG you will have an amazing opportunity to provide moments of happiness to tens of millions of users, every single day. We have terabytes of behavioral, textual, visual and unstructured data from billions of interactions with our global user base. You’ll leverage this data to find creative solutions to solving our user’s problems.
We’re looking for a “full-stack” Data Scientist that understands that the data lifecycle isn’t just building models. You’ll often have to wrangle the data from its source, build your models and also figure out how best to serve the model to have the most impact. You’re able to explain technical findings to the entire company and implement your machine learning models in production.
We’re a small team that’s just starting out to handle really big data. We’re building our data processing platform using the latest in open source technology, like Apache Spark. You’re comfortable being thrown into the deep end and learning new skills using the latest in open source.
Able to work independently with minimal supervision and support.
Identify and execute on high impact projects. Projects can range from developing customer retention models or developing a recommendation engine.
Collaborate with Web and Data Engineers to build and maintain robust and scalable data reporting and analytics infrastructure and models while proactively surfacing opportunities.
Provide deep performance analysis to extrapolate current and historical trends into forecasts, and provide business context to identify and drive critical growth initiatives, from product features to revenue model.
Demonstrate the ability to influence outcomes and decisions (not just report on analysis)
Be a champion for high quality data-driven decision-making throughout the company by helping other teams develop good metrics and their own data analysis skills.
Live our values - H2O: Hustle to go all-in to achieve the goal, work hard and work smart; Humble to embrace the better ideas of others; Open to welcome differences and possibilities.
BA/BS in Computer Science, Machine Learning, Math, Engineering, Statistics or other technical field. Advanced degrees preferred.
Solid knowledge of statistics.
Banking/finance/e-commerce or strategy consulting with a focus on technology and/or media is highly desirable.
Fluency in SQL, R or experience with at least one programming language (Python, Scala)
Hands-on experience with Spark, Hadoop, etc.
Ability to design, lead and execute analysis and effectively communicate insights, ideas and conclusions clearly to team members across the organization, technical and nontechnical alike.
Highly motivated, and able to think clearly under pressure.
Excellent communication skills.
Real-world experience in machine learning, data mining and NLP to surface valuable insights in our dataset. (Bonus).
You can teach us something new! We love to hire people who are way more knowledgeable than us in some area and can be good teachers and mentors.
Latent interest and passion on social media platforms and product trends.
Active user of 9GAG.