Data Scientist

  • Montreal, Canada

Job Description

Major responsibilities include:

- Ability to gather, consolidate, structure and analyze machine-level, and technology reference data for the purposes of gaining insights

- Document and link data sources at a conceptual level, and identify opportunities for further data correlation

- Build an overarching data model of the various data types that are available for consumption and visualization in Splunk and other platforms

- Review areas where data sources cannot be linked because of improper configuration, and partner with the Splunk and other teams to fix these

- Identify authoritative data sources. Track when these sources change to another system, and specify existing dashboards or integration partners that are impacted by these changes

- Evaluate data quality in different sources, identify issues, and propose solutions

- Present findings to key stakeholders throughout the organization

- Partner with various groups to identify and onboard new data types, and devise a structure to organize the onboarding via a centrally available mechanism.

- Willingness to provide demos to teams interested in leveraging the data, and answer questions on which data types are available in Splunk, and other visualization solutions.


- 3-5 years of relevant experience in a similar role.

- Excellent analytical and documentation skills.

- Able to quickly absorb new information; focus on delivery, with a proven track record.

- Conduct independent research, and exploratory analysis on machine data

- Ability to connect the dots. Understands the data in a very detailed way, and how it relates across data sources

Skills Required:

- Strong business acumen

- Inquisitive mindset and passionate about data

- Ability to create and analyze data in dashboards

- Very strong data manipulation, reconciliation and visualization skills.

- Solid communication skills

Skills Desired:

- Experience with dash-boarding platforms (Splunk, Tableau)

- Scripting/Data manipulation ? e.g. shell, Perl, Python

- Statistical software, e.g. R

- Enthusiastic, and with pragmatic stance for solving problems

- Familiarity with infrastructure performance metrics and other machine data

Additional Information

All your information will be kept confidential according to EEO guidelines.