Senior Delivery Data Science, Madrid Doz564

Job Description: Sales/Marketing, Operations, and new Data Monetization Schemes.
Engages business stakeholders to capture and shape their thinking on data-driven methods applicable to their value chain.
Leads customer conversations to understand and define and solve business problems.
Data Preparation and Understanding: Acquires data necessary for successful completion of project plan.
Proactively detects changes and communicates to senior leads.
Develops usable data sets for modeling purposes.
Contributes to ethics and privacy policies related to collecting and preparing data by providing updates and suggestions around internal best practices.
Contributes to data integrity/cleanliness conversations with customers.
Modeling and Statistical Analysis: Leverages knowledge of machine learning solutions (classification, regression, clustering, forecasting, natural language processing, image recognition) and individual algorithms (Linear and logistic regression, k-means, gradient boosting, ARIMA, RNN, LSTM) to identify the best approach to complete objectives.
Understands modeling techniques (dimensionality reduction, cross validation, regularization, encoding, assembling, activation functions, etc.)
and selects the correct approach to prepare data, train and optimize the model, and evaluate the output for statistical and business significance.
Understands the risks of data leakage, the bias/variance tradeoff, methodological limitations, etc.
Writes all necessary scripts in the appropriate language.
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