Platform Data Scientist (Machine Learning Engineer) - Remote

Overview

As a Data Scientist on our team, you'll design, develop, and deliver machine learning solutions, decipher loosely defined problems using complex datasets, and determine appropriate analytical and modelling techniques.

In Short

• Work on all aspects of the design, development and delivery of machine learning enabled solutions for our clients.
• Come up with solutions to loosely defined business problems by leveraging pattern detection over complex datasets across multiple platforms.
• Determine analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes.
• Analyze and interprets data from structured and unstructured data sources in both batch and streaming modes.
• Establish efficient, automated processes for large-scale modeling.
• Perform ad-hoc exploratory and explanatory analysis.
• Collaborate with peers on problem definitions, data acquisition, data exploration, visualization as well as building the tools that support this process.
• Strong sense of ownership, urgency and drive.

Requirements

• A Bachelor and/or Master degree in Statistics, Mathematics, Physics, Computer Science or other related subject.
• Strong command of statistical programming languages (especially R and Python).
• Model development in Python (machine learning, recommendation engines).
• Big Data Hadoop work experience.
• Software development experience from scoping to go live.
• Experience working with Bank raw data.
• Other programming experience (Spark, SAS, Scala, Java, etc.) is a huge plus.
• Experience in working with large datasets and relational databases (SQL).
• Ability to work on distributed cloud platforms.
• Exceptional written and verbal communication as well as presentation skills.

Benefits

• Flexible hours and autonomy.
• Work in international and agile projects.
• International travels.
• Voucher for health activities.
• English classes.
• Support in national and international courses.
• Food allowance.
• Snacks, drinks and video game in the office.
• Transportation or parking spot.
• Annual attractive bonus.