Data Scientist (Market Research)

Smith Hanley; New York (NY); Hybrid; USD 100,000 - 140,000; Full time

Job summary

Smith Hanley Associates is seeking a Data Scientist for a contract-to-hire position in NYC or remote. You will own quality and implementation of our current ML-driven analytics platform, with a path to full dataset ownership.

You should have deep quantitative chops, fluency in Python or R, SQL, and experience collaborating with AI/ML engineers. Expect to refine data, develop new analyses, and build automated reporting as the product evolves.

Qualifications

• ML and statistics focused data scientist with strong modeling skills.
• Proficient in SQL databases and Excel workflows.
• Experience collaborating with AI/ML engineers and stakeholders.

Responsibilities

• Own quality and implementation of current platform.
• Move toward full dataset ownership and future plans.
• Ensure accuracy and QA in near term.
• Develop new analysis layers and automated reporting.
• Support product evolution with data insights.

Skills

Modeling

Statistics

Pattern recognition

Python

R

SQL

Excel

Communication

AI/ML collaboration

Tools

SQL

Excel

Python

R

SPSS

Job description

Title: Data Scientist (Contract-to-Hire) Location: NYC or REMOTE Compensation: Commensurate with experience Contact: Lindsey Bartlett - [e-mail]

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.