Data Scientist

Company: Wahl Clipper Corporation

Location: Sterling, IL (Remote)

Salary: $100k - $125k per year

Type: Full-time

Remote: Yes

Posted: 2026-04-25

About this role

*Wahl Empowers People To Be Their Best!*
Help Shape the Future of Decision-Making at Wahl


At Wahl, data isn't just numbers- it's the story behind how we innovate, build, plan, and deliver products people depend on every single day. As a Data Scientist, you'll turn raw information into clear, compelling insights that help our teams make smarter decisions faster. If you thrive where statistical rigor meets creative problem‑solving, and you love transforming chaos into clarity, this role gives you the opportunity to influence strategies across the entire organization.


What You'll Do


As a Data Scientist, you'll explore complex datasets, build predictive models, and surface insights that drive real business value. Your day-to-day will include:

  • Develop predictive and descriptive models (regression, classification, clustering, forecasting, etc.) to solve business problems.
  • Explore, clean, and transform data from Snowflake, relational SQL databases, flat files, APIs, and Excel sources.
  • Design and optimize analytical datasets within Snowflake for modeling and reporting.
  • Write efficient SQL to extract, join, and aggregate large datasets.
  • Build reusable data science pipelines and feature engineering processes.
  • Validate, test, and monitor models for accuracy, bias, and performance.
  • Partner with business stakeholders to understand requirements and define success metrics.
  • Translate analytical findings into clear business insights and recommendations.
  • Publish results through Power BI dashboards, semantic models, or other data products.
  • Collaborate with data engineers and BI developers to produce models.
  • Document methodologies, assumptions, and model behavior.

What You'll Bring

  • Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, or related field.
  • 5+ years of experience in data science, analytics, or applied statistics.
  • Strong SQL skills and experience working with cloud data ware...

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