Data Science Engineer

2 weeks ago

Montreal, Quebec, Canada Artech LLC Full time

We are seeking a highly skilled Data Science Engineer to join our team at Artech LLC. This role will be responsible for working on the enhancement requests on application features from business users, as well as performing transformation of incoming data for surveillance.

Key Responsibilities:

  • Work on the enhancement requests on application features from business users.
  • Perform transformation of incoming data for surveillance.
  • Develop Python packages to process unstructured data.
  • Create end-to-end data pipeline flow to process data.
  • Work on ways to reduce false-positive alerts in the application.
  • Help troubleshoot production incidents in a timely manner.
  • Develop and enhance Data Science models to reduce noise from alerts.
  • Attend regular meetings and interact with internal and external teams.

Requirements:

  • Experience with Big Data technologies including large data stores like Hadoop, Elastic, Apache Solr, Lucene, and comparable stacks.
  • Advanced knowledge of Python and JSON.
  • Knowledge of Docker containerized application.
  • Advanced knowledge of SQL systems, with experience developing in one of these databases, Oracle, Client SQL Server, PostgreSQL, and MySQL.
  • Strong UNIX skills.
  • Advanced knowledge or experience with any of the NoSQL systems such as ElasticSearch, CouchDB, MongoDB, HBase, MarkLogic, Neo4J, Redis.
  • Expertise in CICD, Bit bucket, Artifactory, Ansible, Jenkins, and Sonar Cube.
  • Experience with JAVA, J2EE, JavaScript, Perl.
  • Experience with Machine Learning.
  • Experience with all project lifecycle stages – Requirements Gathering to Post Implementation.
  • Experienced as a team player working in a global team.
  • Ability to manage conflicting requests on time in a continually fast-moving environment.
  • Must be a self-starter with attention to detail.
  • Strong communications (written and oral) skills in a front-office setting.

Preferred Qualifications:

  • Bachelor's degree in computer science, math, statistics, or other related field.
  • Experience with Front Office traders, IT support, and Operation teams in a Capital Markets domain.
  • Experience with voice data transcription, silence removal, AI is a plus.
  • Knowledge of Docker orchestration tools like Kubernetes etc.
  • Knowledge of Cloud Computing (AWS, Azure, Google).

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