Mid-Level Data Scientist

IQ Ventures is hiring a Mid-Level Data Scientist / Quantitative Analyst in Dublin, OH (hybrid) to build and operationalize models for underwriting and decisioning.

Responsibilities

• Develop, evaluate, and maintain statistical, predictive, and analytical models used in underwriting and decisioning systems
• Analyze large datasets to uncover trends, risk characteristics, and business insights
• Support development and enhancement of credit risk, underwriting, and financial decision models
• Build data pipelines, analytical workflows, and reusable data processing solutions
• Collaborate with software engineers to integrate models and analytical solutions into production systems
• Write and optimize SQL queries for data extraction, transformation, and analysis
• Work with cloud-based data infrastructure and analytical environments, primarily Amazon Web Services (AWS)
• Develop dashboards, reporting datasets, and analytical outputs for business and operational decision-making
• Conduct exploratory data analysis, feature engineering, and model validation
• Participate in code reviews, documentation, and analytical best practices
• Communicate technical findings and model behavior to both technical and non-technical stakeholders

Requirements

• 3+ years of professional experience in data science, quantitative analytics, statistical modeling, or related fields
• Strong proficiency in Python with experience using Pandas, NumPy, SciPy, or Scikit-learn
• Strong understanding of statistical modeling, predictive analytics, and quantitative problem-solving
• Working knowledge of SQL and relational databases
• Experience working with large datasets and data-intensive applications
• Experience using Git-based version control workflows
• Familiarity with cloud computing environments, preferably AWS
• Strong analytical, problem-solving, testing, and debugging skills
• Ability to clearly communicate technical concepts and analytical findings to a variety of audiences

Technologies

• Python
• Pandas
• NumPy
• SciPy
• Scikit-learn
• SQL
• Git
• Amazon Web Services (AWS)

Benefits

• 401(k)
• 401(k) matching
• Dental insurance
• Employee assistance program
• Flexible spending account
• Health insurance
• Health savings account
• Life insurance
• Paid time off
• Referral program
• Retirement plan
• Vision insurance

Preferred Qualifications

• Experience working within financial services, lending, underwriting, risk, or credit-related platforms
• Familiarity with machine learning workflows, model evaluation techniques, and feature engineering
• Experience developing or supporting productionized analytical or machine learning systems
• Exposure to ETL pipelines, data warehouse technologies, and distributed data processing
• Experience with BI and data visualization platforms
• Familiarity with REST APIs and integrating analytical systems into software platforms
• Experience with frontend technologies or dashboarding frameworks (plus)
• Familiarity with Agile software development methodologies
• Understanding of underwriting strategies, credit policy, or financial decision logic

Nice to Have

• Experience supporting real-time decisioning or scoring systems
• Exposure to workflow orchestration or event-driven architectures
• Experience with model monitoring, observability, and performance tracking
• Understanding of security and compliance considerations in financial systems

Location

• Hybrid remote in Dublin, OH 43017
• Ability to commute: Dublin, OH 43017 (preferred)

Experience Details

• Software deployment: 3 years (preferred)