Senior Data Scientist: ML Leader for Fintech Growth

Current; New York (NY); On-site; USD 170,000 - 220,000; Full time

Benefits offered by this job

Stock options

401(k) plan

Discretionary bonus

Biannual reviews

Medical, dental & vision coverage

Unlimited PTO

Parental leave

Commuter benefits

Office lunches

Job summary

Current, a rapidly growing U.S. fintech, seeks a Senior Data Scientist to join our Data and Growth teams in New York City.

You will build and deploy ML models, perform rigorous EDA, and collaborate with Product, Engineering, and Marketing to drive data-driven decisions and improve customer outcomes. You will design predictive models, run experiments, monitor performance, and translate insights into actionable initiatives that optimize user acquisition and retention.

Qualifications

• 5+ years of experience in data science with a strong emphasis on machine learning modeling.
• Proficiency in Python for data analysis and ML, with libraries such as Scikit‑Learn, XGBoost, TensorFlow, or PyTorch.
• Expertise in SQL and working with large, complex structured and semi‑structured datasets.
• Strong understanding of core machine learning techniques, including logistic regression, gradient boosting, decision trees, and clustering methods.
• Experience in feature engineering, model selection, and performance optimization.
• Experienced in designing, executing, analyzing, and reporting on experiments.
• Strong communication skills and ability to present findings to technical and non‑technical stakeholders.
• Master’s or higher degree in Data Science, Computer Science, Statistics, or a related field is preferred.

Responsibilities

• Design, develop, and deploy predictive classification and regression models, along with anomaly detection models and algorithms.
• Conduct extensive EDA, feature engineering, and data preprocessing to ensure high-quality input for ML models.
• Evaluate and optimize model performance using statistical and ML techniques.
• Design and execute A/B tests to measure and validate model impact.
• Perform customer segmentation using various clustering techniques.
• Develop and implement model monitoring dashboards and establish model governance techniques.
• Collaborate with Analytics, Product, Engineering, and Marketing teams to seamlessly integrate predictive models into workflows.
• Work with the ML Engineering team to ensure efficient data pipelines and scalable model deployment.
• Analyze diverse datasets to extract meaningful insights and patterns, identifying actionable opportunities for optimization and innovation.

Skills

Python

SQL

ML modeling

Data preprocessing

Experiment design

Communication

Cloud experience

Education

Master's degree

Tools

Scikit-learn

XGBoost

TensorFlow

PyTorch

Vertex AI

BigQuery

dbt

GCP

Job description

Current, a rapidly growing U.S. fintech, seeks a Senior Data Scientist to join our Data and Growth teams in New York City.

You will build and deploy ML models, perform rigorous EDA, and collaborate with Product, Engineering, and Marketing to drive data-driven decisions and improve customer outcomes. You will design predictive models, run experiments, monitor performance, and translate insights into actionable initiatives that optimize user acquisition and retention.