Data Scientist I: Risk & ML Insights

B.S.D. Capital Inc. dba Lendistry; Dallas (TX); On-site; USD 86,000 - 108,000; Full time

Benefits offered by this job

Medical, Dental, Vision Insurance

Paid Time Off

12 Paid Holidays

401(k) Match

Employee Wellness Programs

Job summary

Lendistry is seeking a Data Scientist I to support risk, product and revenue strategy through data-driven insights. You will work on a decision engine across lending channels, building scalable analytics pipelines and models.

The role requires 3+ years in analytics, strong Python/SQL skills, and experience with ML techniques. Collaboration with engineering and product is essential, with potential for travel and in-office work at the Dallas, TX office.

Qualifications

• Bachelor's degree in a quantitative field; MS/PhD preferred.
• 3+ years in business analysis, customer segmentation, or predictive modeling in financial services.
• Proficiency in Python and SQL; knowledge of Java or SAS helpful.
• Strong ML and statistics knowledge: logistic regression, GBM, clustering.
• Experience implementing credit strategies in a decision engine.
• Able to translate analysis into actionable outputs for non-technical audiences.
• Excellent communication and teamwork; independent with competing priorities.

Responsibilities

• Implement, optimize, and monitor risk, fraud, line assignment, and pricing strategies.
• Aggregate and analyze large-scale datasets for credit risk modeling and fraud detection.
• Develop advanced statistical models and ML techniques to improve decisions.
• Design scalable pipelines turning raw data into clean predictive features.
• Mine internal and external datasets for customer behavior and risk indicators.
• Own analytics projects end-to-end, maintain data integrity and pipelines.
• Build tracking and reporting to measure model performance.
• Collaborate with engineering, product, and business teams to align data science solutions.

Skills

Python

SQL

Java

SAS

Machine learning

Statistics

Data analysis

Education

Bachelor's degree in quantitative field

MS/PhD preferred

Tools

Provenir

GDS-Link

Zoot

Job description

Lendistry is seeking a Data Scientist I to support risk, product and revenue strategy through data-driven insights. You will work on a decision engine across lending channels, building scalable analytics pipelines and models.

The role requires 3+ years in analytics, strong Python/SQL skills, and experience with ML techniques. Collaboration with engineering and product is essential, with potential for travel and in-office work at the Dallas, TX office.