Senior Data Scientist

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

About Current

Current is a leading U.S. fintech serving people who have been overlooked by traditional banks. We are one of the fastest-growing companies with nearly 6 million members. Headquartered in NYC, our results-driven environment empowers our team to build better products, grow faster, and have a direct impact on our mission to improve financial outcomes for our members.

Senior Data Scientist

Current is a leading U.S. fintech serving people who have been overlooked by traditional banks. We are one of the fastest-growing companies with nearly 6 million members. Headquartered in NYC, our results-driven environment empowers our team to build better products, grow faster, and have a direct impact on our mission to improve financial outcomes for our members.

About The Role

At Current, data is at the core of everything we do. As a Senior Data Scientist on the Data and Growth teams, you will focus on machine learning modeling to build predictive models that help us understand our customers better, improve user experience, and efficiently acquire and retain members. This is a hands‑on role focused on solving complex problems, developing and deploying ML models, and driving data‑driven decision‑making.

Your day-to-day will involve analyzing, preparing, and structuring data; building and optimizing predictive models; leveraging clustering algorithms; and collaborating with cross‑functional teams (Product, Engineering, Marketing) to integrate ML solutions into customer‑focused strategies and processes.

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.

Qualifications

About You

• 5+ years of experience in data science with a strong emphasis on machine learning modeling.
• Proficiency in Python for data analysis and ML, with experience using 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.

Preferred Skills & Qualifications

• Experience working in fintech, e‑commerce, or other data‑rich consumer‑facing industries.
• Familiarity with Google Cloud Platform (GCP) services, particularly Vertex AI and Dataflow, for scalable data processing and model training.
• Experience with dbt for data modeling.
• Familiarity with BigQuery or other MPP (Massively Parallel Processing) databases.
• Experience using the Scala programming language for developing scalable and efficient data pipelines.

Benefits

• Competitive salary
• Stock options
• 401(k) savings plan
• Discretionary performance bonus program
• Biannual performance reviews
• Medical, Dental and Vision premiums covered at 100% for you and your dependents
• Unlimited time off and paid holidays
• Generous parental leave policy
• Commuter benefits
• Healthcare and Dependent care FSA benefit
• Employee Assistance Programs focused on mental health
• Healthcare advocacy program for all employees
• Access to mental health apps
• Team building activities
• Our modern NYC based office with open floor plan, stocked kitchen, and catered lunches

This role has a base salary range of $170,000.00 - $220,000.00. Compensation is determined based on experience, skill level, and qualifications, which are assessed during the interview process. Current offers a competitive total rewards package which includes base salary, equity, and comprehensive benefits.