Data Scientist

• Understanding the data which our clients provide to us;


• Cleaning that data and validating that it is correct;


• Preprocessing the data, usually by using a mixture of shell scripts and a programming language such as Python, Java, Scala, etc


• Iteratively computing features and tuning parameters to improve the quality of the model;


• Communicating your findings to the project manager and assisting him/her in decision making on the Data Science part of the project;


• Work together with key stakeholders (data scientists, engineers, risk managers) from our clients;


• Work with other parts of the organization (Product, Research, etc.) to improve processes, best practices and tooling.

You Have & You Know-how:

• MSc or PhD in Computer Science, Electrical Engineering, Statistics, Applied Mathematics, Physics or related field;


• Proficient in Machine Learning (training and testing, avoiding overfit, etc.);


• Knowledge of Big Data technologies such as Spark, Hadoop and related;


• Proficiency in bash, Python and either Java or Scala;


• Knowledge of resource monitoring and runtime optimization (both at JVM and OS level);


• Knowledge of statistics or data visualization is a plus;


• Knowledge of tree based algorithms (Random Forests, XGBoost, LGBM) is a plus;


• Knowledge of Deep Learning algorithms is a plus;


• Ability to communicate your findings in a clear way.

The Customer Success Team is responsible for delivering our product to our clients. This includes education, configuration, solution development, and risk strategy to enable our clients to address their pain points. We collaborate with our clients to ensure they have the right solution, build out a strategy and training plan for them, and then support them through each phase of our client lifecycle. We grow at a fast clip and believe no challenge is too big or too small. Therefore, we have an open environment that encourages us to lean in, try new things, and discover our potential. Join Us!

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