Data Scientist SSr

  • Español
  • Uruguay

Baufest


At Baufest we want to improve life through technology, leaving a positive mark on society, so we are looking for a Data Scientist SSr to be part of our professional team.

Responsabilities:

Data Scientist applies strong expertise in artificial intelligence through use of machine learning, data mining, and information retrieval to design, prototype and build next generation advanced analytics engines and services. The data scientist collaborates with business partners to define the technical problem statement and hypothesis to test; develops efficient and accurate analytical models that mimic business decisions and incorporates them into analytical data products or tools with the support of a cross-functional team.

Requirements:

·         Bachelor’s in Data Science, Computer Science, Engineering, Statistics and 3+ years’ experience required OR Graduate degree in quantitative discipline and demonstrated Data Science skill set, plus 2+ years’ work experience

·         Must have Python or R proficiency working with DataFrames

·         Must have proficiency writing complex SQL queries

·         Must have proficiency with Machine Learning to solve clustering, classification, regression, anomaly detection, simulation and optimization problems on large scale data sets

·         Must have proven ability to merge and transform disparate internal & external data sets together to create new features.

Ideal requests:

·         Experience with data visualization tools preferred — Tableau

·         Experience with Big Data technologies desired — Hadoop, Spark, H20.ai, Cloud AI platforms, containerization

·         Experience with supporting deployment, monitoring, maintenance and enhancement of models desired.

We offer:

·         Swiss Medical health insurance

·         English classes in company

·         Monthly Internet reimbursement

·         Certifications and training by Baufest

·         Sport activities reimbursement

READ:   Data Scientist – Remote, Full-time

·         Flexible Schedule time

·         Pro Profes ( a special program if you are studying)

·         Variable Compensation (bonus program)

·         Participation in an environment of continuous learning and challenging projects

  • Nivel de antigüedad


    Intermedio

  • Tipo de empleo


    Jornada completa

  • Función laboral


    Tecnología de la información

  • Sectores


    Servicios y tecnologías de la información


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