Middle Data Science Engineer (Statistical Computing)

– Build and execute Monte Carlo simulations take as input statistical parameters that have been discovered from randomized controlled experiments and that generate candidate recommendations for combinations of actions/policies for applying the knowledge generated from the randomized controlled experiment;
– Collaborate with a team of scientists to identify integrate causal and counterfactual inference based structural models (think Judea Pearl) to generate hypotheses that can be tested empirically via randomized controlled experimentation;
– Collaborate with a team of scientists integrating statistical inference methods and techniques into automated systems;
– Apply different approaches for tasks solving;
– Communication with other teams including non-engineering teams.