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
$140,000.00/yr - $180,000.00/yr Job Title
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 drive initiatives across credit, fraud, and broader business areas. This individual will use data to explain trends, build predictive models, and translate findings into actionable insights for decision‑makers. 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 Review model performance and analytical work produced by peers to ensure accuracy and consistency 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 Requirements
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, including exposure to financial services, fintech, or credit data (preferred). Senior title requires additional experience and proven ability to operate independently and guide junior staff.
Technical Skills:
Proficiency in Python (required) Working knowledge of SQL for data extraction and analysis 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
Preferred Qualifications
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 Benefits
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
Mid‑Senior level Employment Type
Full‑time Job Function
Engineering and Information Technology Industries
IT Services and IT Consulting
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$140,000.00/yr - $180,000.00/yr Job Title
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 drive initiatives across credit, fraud, and broader business areas. This individual will use data to explain trends, build predictive models, and translate findings into actionable insights for decision‑makers. 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 Review model performance and analytical work produced by peers to ensure accuracy and consistency 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 Requirements
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, including exposure to financial services, fintech, or credit data (preferred). Senior title requires additional experience and proven ability to operate independently and guide junior staff.
Technical Skills:
Proficiency in Python (required) Working knowledge of SQL for data extraction and analysis 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
Preferred Qualifications
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 Benefits
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
Mid‑Senior level Employment Type
Full‑time Job Function
Engineering and Information Technology Industries
IT Services and IT Consulting
#J-18808-Ljbffr