Staff Data Scientist — ABCS InsightsLocation: [Remote] Type: Full time

About ABCS InsightsABCS Insights is a data analytics and connected outcomes measurement company focused on causal measurement and brand lift analytics in the advertising measurement space. We help CPG and advertising partners understand what's actually driving outcomes with deterministic, defensible measurement built on rigorous data foundations.

We're ranked #166 on the Inc. 5000 list of fastest-growing companies and #1 in Marketing Research for the second year in a row. We back that growth with world-class benefits and a genuinely flexible, remote-first way of working.

The RoleWe're looking for a Staff Data Scientist who lives in Snowflake and SQL daily and can take large, messy CPG datasets and turn them into clean, normalized, trustworthy tables that the rest of the business builds on.

This is a hands-on, individual-contributor role. We need someone who can architect and build the pipelines themselves, make sharp calls about data quality, and be relentless about catching errors before they become someone else's problem.

What You'll Do

- Architect and build ETL pipelines that ingest, normalize, and validate large CPG datasets at scale in Snowflake
- Design schemas and normalization logic that hold up as data volume and complexity grow
- Own data quality end-to-end,



building validation checks that catch both false positives and false negatives before they propagate into client-facing measurement
- Troubleshoot and resolve data integrity issues specific to CPG panel data
- Write and maintain SQL-based documentation and metric definitions
- Partner directly with leadership and the measurement team to turn source data into analysis-ready datasets on tight timelines

What You BringRequired:

- Deep, hands-on expertise in SQL and Snowflake
- Strong track record architecting ETL and data pipelines for large, complex datasets
- A genuinely sharp eye for data quality, including both Type I and Type II errors
- Proficiency in Python for pipeline automation and data processing
- Comfort working independently, owning a pipeline from design through production

Strongly preferred:

- Experience working with CPG or retail panel and syndicated data
- Exposure to Spark SQL or distributed data processing

Nice to have:

- Background in causal inference, experimental design, or significance and lift testing
- Experience in advertising or marketing measurement

Why ABCSYou'll be one of the people whose work directly determines whether our measurement can be trusted. This is a place to do deep, technical, high-ownership work without layers of process in the way. Benefits
- Health, dental, and vision coverage
- Paid PTO and holidays
- Flexible work hours
- 100% remote from day one
- 401(k) access

📌 Staff Data Engineer/Scientist (Canada)
🏢 ABCS Insights
📍 Canada