# Senior Data Scientist

**Company:** [Current](https://hotfix.jobs/companies/current)
**Location:** New York, NY
**Role:** Data Science
**Salary:** $170k – $220k/yr
**Experience:** 5+ years
**Skills:** Python, scikit-learn, Xgboost, TensorFlow, PyTorch, SQL, Logistic Regression, Gradient Boosting, Decision Trees, Clustering, A/B Testing, GCP, Vertex Ai, Dataflow, dbt
**Posted:** 2026-04-28

> Senior Data Scientist building and deploying ML models for customer prediction, segmentation, and growth at a fintech company. Requires 5+ years experience, Python ML expertise, and SQL.

## Job Description

## 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.

## Requirements
- 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.

## Preferred Qualifications
- Master’s or higher degree in Data Science, Computer Science, Statistics, or a related field.
- 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.
- Experience with dbt for data modeling.
- Familiarity with BigQuery or other MPP databases.
- Experience using the Scala programming language.

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