Posting record
Open 10+ days
- Tatucity's site dates the posting
- Ghostless first sees this listing
- Last checked: still up
How we know
It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.
Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Tatucity, so its true age is longer.
Last checked Nov 3, 2026.
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Upload your resumeWhat it asks of you
- 2+ years of experience
What the posting discloses
Not stated: Pay, real vacancy, AI screening.
Why these three
Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.
Some employers add pay only on their own site. Check the original posting before you rule it out.
Skills mentioned
About the role
Do you enjoy telling stories through data and working with large datasets?
Our Sales Planning team is looking for a Data Scientist to explore customer journey touchpoints, develop dashboards and reports that drive meaningful change in our Call Center. You’ll use your business acumen to turn data-driven insights and analysis into actionable strategies that enhance performance and customer experience.
RESPONSIBILITIES
- Write SQL queries and Python code to retrieve, process, and analyze large datasets.
- Construct efficient multi-threaded data models from large data sets.
- Develop dashboards and create visual reports for both daily operations and executive-level insights.
- Apply statistical analysis, predictive/prescriptive modeling, and forecasting to uncover business insights.
- Analyze customer journey touchpoints to identify trends, behavior patterns, and areas for improvement.
- Make data backed recommendations on Contact Center programs.
- Correlate omnichannel data for KPI tracking and manage cross-platform reporting.
- Collaborate with stakeholders to understand business needs and deliver clear, actionable solutions.
Requirements
- A bachelor’s degree in Data Science, Statistics, Computer Science, Business, or a related field
- At least 2 years of experience in an analytical role
- Advanced experience with SQL, Python, building data models, data validation, and QA
- Strong data mining skills with an understanding of cross-platform integrations
- Excellent Excel and PowerPoint skills
- Strong attention to detail, analytical skills, and the ability to manage multiple tasks
- Comfortable working in a fast-paced, dynamic environment with shifting priorities
- Strong written and verbal communication skills, with a solid analytical mindset
- Experience with Power BI, Azure Data Lake, Databricks, visual analytics, omnichannel data, Azure Cognitive Services, speech analytics, and sentiment analysis is a plus
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