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Current
New York, NY
Source: Current careers · View original posting
From Current's posting. “We” and “our” refer to the employer.
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.
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.
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.
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.
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