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Job Offer: Data Scientist Braincore Switzerland

From: David A.
Sent on: Friday, January 25, 2019 9:22 AM

Braincore Switzerland is looking for a Data Scientist (35-50k€)


In 2007, we founded Brain Core ( in order to affirm our commitment throughout establishments of any size, with a single aim in mind: placing the individual at the very core of management so that he may discover an enriching seedbed that fosters his development, catalyzes skill development and that he may, in turn, strengthen the competitiveness of the establishment.

Brain Core Business is software that features powerful predictive algorithms driven by artificial intelligence models. It provides a detailed assessment of individual needs, in the aim of catalyzing the skill synergies among members of a group while also taking specific generational patterns of behavior into account. It rapidly increases a team’s interactive abilities in fields such as sales, strategic management, communications, or human resources in general. The Brain Core Business approach is consistent with the humanist tradition of self-discovery to then push beyond one’s limitations and develop one’s full potential. Within a working group, the Brain Core method considerably increases a company’s creative capacity and, in turn, its innovative power.

We are now setting up our operations team in Barcelona and we are looking for a team member who has affinity toward science and data. A team member who will work with us instead of work for us and who can handle the company of a bunch of young people.

Job Overview
We are looking for a Data Scientist who will support our Development and Marketing teams with insights gained from analyzing neuroscience and company information data. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.

Responsibilities for Data Scientist
• 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.

Qualifications for 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.
• Experience working with and creating data architectures.
• 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 2-4 years of experience manipulating data sets and building statistical models, has a University degree 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 languages: R, Python, SLQ, 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, etc.

If the role represents an interest to you, please send your application to [address removed] before 1st February

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