Sr. Data Scientist with Azure and Snowflake exp - Local to MN only

Overview

On Site
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 6 Month(s)
No Travel Required

Skills

Azure
Python
Data Scientist
Snowflake
Machine Learning

Job Details

Position: Data Scientist with Azure and Snowflake exp

Duration: 6+ Months Contract

Location: Minneapolis, MN / Hybrid

***Candidates need to be able to clearly articulate the nuances of the modeling approaches, fine tuning models in collaboration with the MLEs, etc.

Focus more on Azure and Snowflake


Models:
Experience building traditional machine learning (between advanced analytics and machine learning).

Must have:
Python (python shop)
AWS or Azure ML (AML preferred)
Implementation / doer skillset
Product mindset - understand what the business is doing and speak back in their own terms
Demos build street credit to showcase technical efforts
Confidence and strength to maintain business' excitement with feature requests but not be a yes man to make sure not overpromising
Reliable with stakeholders

Preferred:
Snowflake DW
Experience working in cloud data infrastructure
R (though don't use)

___________________________________________________________________________________________________________________________

Critical Requirements:

  • Snowflake experience - job notes specifically state "Python and Snowflake - proactive" and "Preferred: Snowflake DW"
  • Team is "baked into Snowflake, Azure ML, Domo" so this isn't just preferred, it's their core stack
  • Azure ML preferred over AWS - while job notes say "AWS or Azure ML (AML preferred)", the team seems to be leaning heavily Azure

Search Refinement:

  • Filter for candidates with actual Snowflake data warehouse experience, not just general SQL
  • Prioritize Azure ML over AWS cloud experience
  • Python + Snowflake combination should be front and center in profiles we present

Best Regards,

Chetna

-D

-Fax

Truth Lies in Heart

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.