Location: Arganzuela-Madrid, Madrid provincia

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At Repsol, we are committed to equality and do not request personal information.

Here, what counts is your experience and your ability to create value. We offer you the opportunity to grow professionally, develop your career with challenging projects, and collaborate with brilliant people to continue growing. You will never stop learning .


Repsol in its ambitious Digital Transformation plan, wants to incorporate a Data Scientist for its Data & Analytics HUB.

Your Responsibilities will be:

· Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.

· Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.

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

· Develop custom data models and algorithms to apply to data sets.

· Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.

· Develop company A/B testing framework and test model quality.

· Coordinate with different functional teams to implement models and monitor outcomes.

· Develop processes and tools to monitor and analyze model performance and data accuracy

Our ideal Data Scientist:

· Strong problem solving skills with an emphasis on product development.

· Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.

  • Strong experience with conversion rate optimization (CRO) techniques, Google Analytics, and internet marketing.

· Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.

  • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
  • Excellent written and verbal communication skills for coordinating across teams.
  • A drive to learn and master new technologies and techniques.
  • We’re looking for someone with 5-7 years of experience , has a Master’s or PHD in Statistics, Mathematics, Computer Science or another quantitative field, and is familiar with the following software/tools:

· Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.

· Experience querying databases and using statistical computer tools: SQL, SAS, R, Python, Tensor Flow, etc

· Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.

· Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.

· Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, et

Job posting end date:


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