Role : Data science engineer
Location : Montreal, QC
Duration : 15 Months (Highly chance to extends)
JD:
Roles and responsibilities:
The Data science engineer role is critical to focus on below areas:
• Work on the enhancement requests on application features from business users.
• Work on voice surveillance side of the project to monitor various voice channels.
• Perform transformation of incoming data for surveillance.
• Work on ways to reduce false-positive alerts in the application.
• Help troubleshoot production incidents in timely manner.
• Develop and enhance Data science models to reduce noise from alerts.
• Attend regular meetings and interact with internal and external teams.
• Work on multiple tasks and respect aggressive schedule.
• Gather and document technical requirements and specifications.
• Work in a fast paced environment. Support may include extra hours, nights and weekends.
Required Skills include:
• 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, Microsoft 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.
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Last updated on Oct 2, 2023
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