Data Scientist
Requirements:
• BSc and MSc or PhD in Computer Science, Statistics, Mathematics, Engineering, Physics or related science field from a well-established University
• Knowledge of Data Science and Machine Learning concepts and algorithms such as clustering, regression, classification, forecasting, hyperparameters optimization, NLP, computer vision, speech processing; understanding of ML model lifecycle would be an asset
• Familiarity with any programming language and Data Science scripting (in Python / R / Scala / Julia)
Considered a plus (not a prerequisite):
• Experience with Cloud Technologies (MS Azure, GCP, AWS)
• Familiarity with Deep Learning concepts & tools (H2O, TensorFlow, PyTorch, Keras, Theano, etc.)
• Understanding of ML lifecycle and hands-on experience with ML Ops
• Experience in analytical manipulation and interpretation of large databases (via tools such as Hive, Spark, NiFi, HBASE, HDFS, Kafka, Kudu would be an asset)
• Visualization tools (Power BI, Tableau)
• Working under an Agile Framework with CICD principles
What can you expect from us?
Mind-blowing workplace culture. You will be integrated in a professional, dynamic and collaborative team.
100% Remote opportunities
We want you to have the flexibility to work where you feel most comfortable and productive.
International Career
You can expect professional growth and to be connect with the world.
We are represented in 2 European countries: Portugal and Belgium.
And with projects in many other countries: Netherlands, Luxembourg, Singapore and in the United States of America (and a lot more is coming…)
Extra Benefits & Perks
If you wish to work with us and you are outside European Union (good news…) we are a Tech Visa Company, We will help!
As a plus, we provide Health and Life Insurance.
Bridge351 is proud to be an equal opportunity employer. We are committed to build a diverse and inclusive culture and celebrate authenticity. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability or any other legally protected characteristics.
• BSc and MSc or PhD in Computer Science, Statistics, Mathematics, Engineering, Physics or related science field from a well-established University
• Knowledge of Data Science and Machine Learning concepts and algorithms such as clustering, regression, classification, forecasting, hyperparameters optimization, NLP, computer vision, speech processing; understanding of ML model lifecycle would be an asset
• Familiarity with any programming language and Data Science scripting (in Python / R / Scala / Julia)
Considered a plus (not a prerequisite):
• Experience with Cloud Technologies (MS Azure, GCP, AWS)
• Familiarity with Deep Learning concepts & tools (H2O, TensorFlow, PyTorch, Keras, Theano, etc.)
• Understanding of ML lifecycle and hands-on experience with ML Ops
• Experience in analytical manipulation and interpretation of large databases (via tools such as Hive, Spark, NiFi, HBASE, HDFS, Kafka, Kudu would be an asset)
• Visualization tools (Power BI, Tableau)
• Working under an Agile Framework with CICD principles
What can you expect from us?
Mind-blowing workplace culture. You will be integrated in a professional, dynamic and collaborative team.
100% Remote opportunities
We want you to have the flexibility to work where you feel most comfortable and productive.
International Career
You can expect professional growth and to be connect with the world.
We are represented in 2 European countries: Portugal and Belgium.
And with projects in many other countries: Netherlands, Luxembourg, Singapore and in the United States of America (and a lot more is coming…)
Extra Benefits & Perks
If you wish to work with us and you are outside European Union (good news…) we are a Tech Visa Company, We will help!
As a plus, we provide Health and Life Insurance.
Bridge351 is proud to be an equal opportunity employer. We are committed to build a diverse and inclusive culture and celebrate authenticity. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability or any other legally protected characteristics.