Senior Data Scientist

· Remote

Location

Remote

Type

Full Time

Job Description

Senior Data Scientist

Reposted 2 Hours Ago
Easy Apply
New York NY USA
Hybrid
170K-220K Annually
Senior level
Fintech • Mobile • Payments • Software • Financial Services • Cryptocurrency
Our mission is to enable members to change their lives by creating better financial outcomes.
The Role
As a Senior Data Scientist you will develop predictive models conduct EDA collaborate cross-functionally and drive data-driven decisions.
Summary Generated by Built In
Senior Data ScientistAbout 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 4 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.
QualificationsAbout 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 Chelsea-based office with open floor plan stocked kitchen and catered lunches

This role has a base salary range of $170000.00 - $220000.00. 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.


Top Skills

BigQuery
Dataflow
Dbt
Google Cloud Platform
Python
PyTorch
Scala
Scikit-Learn
SQL
TensorFlow
Vertex Ai
Xgboost

What the Team is Saying

Brandon
Stephen
Alina de Cordoba
Swaroop
Patricia
Brandon
Elijah
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The Company
HQ: New York City NY
200 Employees
Year Founded: 2015

What We Do

Current is a U.S. based consumer fintech and payments platform with over four million members and a mission to improve financial outcomes. It provides mobile banking services that give its members access to opportunities to improve their financial lives such as paychecks up to two days early up to 4% APY fee-free overdraft money management tools and insights fee-free ATMs no fee crypto trading a cash back rewards system and family banking.

Why Work With Us

We turn ideas into reality. We're leaders beyond our titles and experience. Focused on our rapid growth we're a social team with diverse backgrounds and perspectives that celebrates our successes together. At Current we all make an impact. Above all we’re committed to our mission and dedicated to being a part of building something great.

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Current Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: Flexible
HQNew York NY
Our modern open floor plan office is located in the heart of Chelsea with an abundance of bars and restaurants. We are minutes away from various trains and bus stops for a convenient commute.

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Date Posted

03/30/2026

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