Senior Data Analyst - Scikit-Learn & Vertex AI (Hybrid)

Walgreens Co.; Grand Forks (ND); Hybrid; USD 72,000 - 105,000; Full time

Job summary

Walgreens Co. seeks a Data Analyst skilled in Scikit-learn to join the technology team in Grand Forks, ND. The role offers a base ND salary with market upside and flexible hours to align with on-call responsibilities.

You’ll own end-to-end data services, collaborate with data teams, and drive insights from production systems while managing on-call rotations and incident postmortems. This is a hybrid, ND-based opportunity.

Qualifications

• 7+ years owning outcomes, not just completing tasks.
• 5 years of Scikit-learn experience and curiosity for what's next.
• A collaborator who makes the senior review feel less like an exam.
• Willingness to commute to Grand Forks, ND or work flexibly as needed.
• Real Vertex AI chops, plus the Snowflake curiosity to keep growing.

Responsibilities

• Decode the undocumented People Management service nobody at Walgreens remembers writing
• Own a technology service end to end, from Snowflake schema to on-call rotation
• Respond to on-call rotations and participate in incident postmortems
• Keep Walgreens's Hadoop CI under ten minutes so Grand Forks, ND engineers stay in flow
• Keep Accountability schemas backward-compatible so Walgreens never forces a breaking upgrade
• Work closely with data teams to surface insights from production systems
• Catch the question-everything Plotly regression in staging before it ever reaches Grand Forks customers
• Trace a technology number back through Vertex AI services until it finally adds up

Skills

Scikit-learn

Vertex AI

Data analysis

Tools

Snowflake

Hadoop

Job description

Walgreens Co. seeks a Data Analyst skilled in Scikit-learn to join the technology team in Grand Forks, ND. The role offers a base ND salary with market upside and flexible hours to align with on-call responsibilities.

You’ll own end-to-end data services, collaborate with data teams, and drive insights from production systems while managing on-call rotations and incident postmortems. This is a hybrid, ND-based opportunity.