/Data Scientist (Market Research)

Data Scientist (Market Research)

Remote, NY, USRemoteusvia direct
// Job Type
Full Time
// Salary
Not disclosed
// Posted
3 weeks ago

About the Role

Title: Data Scientist (Contract-to-Hire)
Location: NYC or REMOTE
Compensation: Commensurate with experience
Contact: Lindsey Bartlett - lbartlett@smithhanley.com 

 

WHO WE ARE
Where quantitative rigor meets the science of why people do what they do.

Psychology, technology, and sociology fused into research that actually gets people. Studies designed to go beyond the surface, delivering insights you can put to work immediately.

An eclectic mix of artistic intuition and scientific acumen, spanning industries. Collective experience with over half of all Fortune 100 companies, done with a level of professionalism and moxie you won't find anywhere else.


THE ROLE
We're looking for a data scientist who lives at the intersection of ML and human motivation. Someone who's as curious about why people do things as they are about the numbers behind it.

You'll start by owning quality and implementation of our current platform, with a clear path to full dataset ownership and shaping what comes next.


YOU BRING

  • Deep quantitative chops: modeling, statistical analysis, pattern recognition
  • Fluency in at least one advanced tool (SPSS, R, Python, or equivalent)
  • Experience with SQL databases and Excel workflows
  • Curiosity about qualitative data and what it reveals beyond the numbers
  • Collaborative experience working alongside AI/ML engineers
  • Clear, confident communication with teammates and about ideas

THE WORK

  • Sole data source: our proprietary platform, yielding hybrid quant + qual output
  • Data lives in a SQL database with Excel export
  • You'll partner with our project team, CEO, and CTO on data refinement
  • Near-term focus: accuracy and QA. Longer-term: new analysis layers, automated reporting, product evolution


SUCCESS LOOKS LIKE: Obsessive accuracy. Fresh analytical thinking. Clear communication. Eventually, full ownership of our dataset and where it goes.

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