Join to apply for the Data Scientist role at Burtch Works
Join to apply for the Data Scientist role at Burtch Works
This range is provided by Burtch Works. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
$150,000.00/yr - $180,000.00/yr
Job Title: Data Scientist or Senior Data Scientist
Location: Chicago, IL (Hybrid – In-office Tuesday & Thursday)
About The Company
We are a mission-driven financial services firm focused on credit innovation, leveraging advanced analytics to deliver responsible financial products. Our collaborative, tight-knit culture values transparency, high-impact work, and the opportunity for our employees to gain exposure to all facets of the business. As a growing organization, we offer a dynamic environment where data professionals can make meaningful contributions and see the direct impact of their work.
Job Summary
We are seeking a hands-on Data Scientist to join our analytics team and support initiatives across credit, fraud, and broader business areas. This individual will work closely with business stakeholders and internal teams to uncover insights, develop models, and drive meaningful outcomes. The ideal candidate will have a strong mathematical background, be fluent in Python, and be able to communicate technical concepts clearly and effectively.
Key Responsibilities
- Work on cross-functional projects supporting credit risk, fraud detection, and customer analytics
- Design and conduct data analyses to inform business decisions, using Python and other tools
- Collaborate closely with stakeholders to understand business needs and translate them into analytical projects
- Present analytical results to technical and non-technical audiences
- Contribute to internal best practices and support a culture of rigorous, high-quality analytics
- Education: Degree in a quantitative field (e.g., Statistics, Mathematics, Biostatistics, Physics, Chemistry, Biology, or related discipline)
- Experience: Typically 2–4+ years of hands-on experience in data science or analytics; senior title requires additional experience and proven ability to operate at a higher level
- Technical Skills:
- Proficiency in Python (required)
- Familiarity with SQL (preferred but not required to be advanced)
- Experience with data exploration, modeling, and business analytics
- Soft Skills:
- Strong communication skills; ability to clearly explain analytical work and its business implications
- Critical thinking and intellectual curiosity
- Business acumen; understands how analysis ties into outcomes
- Exposure to AWS (particularly SageMaker), Databricks, or Vertex AI is a plus but not required
- Prior experience in credit risk, fraud, or financial services is helpful but not mandatory
- Demonstrated ability to follow structured problem-solving approaches and deliver clean, documented work
- Competitive salary and performance-based incentives
- Health and wellness programs (no information)
- Flexible work arrangements and supportive hybrid environment
- Professional development and growth opportunities (no information)
- Inclusive culture with direct impact and visibility across the organization
Seniority level
Seniority level
Mid-Senior level
Employment type
Employment type
Full-time
Job function
Job function
Engineering and Information TechnologyIndustries
IT Services and IT Consulting
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