Oferta de trabajo Data Scientist R/Python en kernel-analytics, Madrid o Barcelona

OFFICE LOCATION
Madrid or Barcelona

JOB DESCRIPTION
We are looking to hire data scientists to participate in the definition and development of predictive systems.
You should be a dynamic individual with sound programming and statistical modeling basis, eager to develop professionally in a constantly growing company with the aim of always using the most advanced methods and cutting-edge technology. Furthermore, you should have a strong interest in finding practical solutions to complex business problems.
As part of our analytical team you will work on the definition, modeling and optimization in exciting projects in areas as diverse as demand forecasting, personalized recommendation, or customer churn prevention, among others.
Take a look to the success stories in our web to know more!

REQUIRED SKILLS
Degree in Statistics, Mathematics, Physics, Economics or Engineering
Experience in data mining, statistics, machine learning techniques and/or econometrics
Programming skills Python or/and R
Advanced knowledge of SQL
Ability to think analytically, quantitatively and creatively
Advanced level of Spanish and English

HIGHLY VALUED SKILLS / EXPERIENCE
Masters Degree or/and PhD in Data Science, Econometrics, Quantitative Economics, AI, Modeling or similars
Advanced Knowledge in specific SQL DB Systems such as MySQL, Oracle, SQL Servers…
Use of NoSQL solutions (MongoDB, Cassandra, HBase)
Exposure to Big data technologies as Hadoop, MapReduce, Hive, Spark, Impala…
Graphical interface design for data visualization
Experience working directly with clients
Able to work in a fast-paced environment on multiple tasks and problems

WHAT WE CAN OFFER
Permanent contract
Professional development
Competitive salary
Social benefits
Career progression
Training plan
Fresh fruit and free coffee
Extra free days in Christmas

Laura Moraleda / RRHH
laura.moraleda en kernel-analytics.com

Kernel Analytics
Office: +34 932506437
Balmes 89, 6-4, 08008 Barcelona

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