Responsibilities:

• Mine and analyze data from across the web.

• Assess the effectiveness and accuracy of new data sources and data-gathering techniques.

• Develop custom data models and algorithms to apply to text datasets.

• Use predictive modeling to increase and optimize data extraction and data quality at ingestion and post-processing.

• Develop the company's A/B data testing framework and test the quality of the data continuously.

• Develop processes and tools to monitor and analyze model performance and data accuracy.

• Prototype quickly to solve thorny use cases, without getting stuck in theory, as we're prone to shipping early and often.

• Write well-designed, testable, efficient code.

• Identify areas of opportunity and improvement.

What's in it for you:

• Pioneering work at the forefront of Big Data, Infrastructure and Machine

• Learning that sometimes means relying on academic papers as our only formal guiding tools in moving onwards.

• The chance to shape an original product in a fast-growing company, backed by VC investors.

• A merit-based, no BS, value-oriented and particularly collaborative work environment.

• Fair compensation, the possibility of ESOP and upward salary growth based on performance.

• Groundbreaking professional challenges and the autonomy to try stuff for the very first time, no matter how experienced you are.

• The promise to use the right tool for the job to be able to channel your efforts on what can’t be compensated for — the best use of your skills and abilities.

• The space to try new things out (your way) paired with the freedom to make reasoned decisions and own them.

Qualifications:

• Experience using statistical computer languages, preferably Scala (or R, Python, SQL etc.) to manipulate data and draw insights from (very!) large datasets.

• Experience working with and creating data architectures (Spark,Cassandra).

• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.

• Any knowledge of machine learning techniques (clustering, decision tree learning, artificial neural networks etc.) and their real-world advantages/drawbacks is a big plus.

What we expect from you in return:

• High speed and uncompromising quality in your work.

• A growth mindset, able to capitalize on unprecedented contexts through your skills and abilities.

• An appetite to grapple with a variety of technical challenges.

• The ability to quickly and effectively evaluate technical tradeoffs and translate them into relevant scenarios.

• Consistent performance over time coordinated with a matching set of values.

• Strong problem-solving skills that enhance the way you deal with the tension between brief and shipping.

• Aversion to the idea of any customer or colleague struggling with what you delivered.

• High tolerance for ambiguity, marked by your ambition to push forward with incomplete information.

• Resilience, especially in front of failure, that is always paired with pioneering work.

Recruitment process:

• An assignment. If hired, your effort during the recruiting process will be rewarded with a bonus—this is not about free work.

• 2 discussions, one of which is face to face and includes a live task.