# Senior Data Scientist

**Company:** [Posh](https://hotfix.jobs/companies/posh)
**Location:** New York, NY
**Role:** Data Science
**Salary:** $200k – $220k/yr
**Experience:** 5+ years
**Skills:** SQL, Python, Etl/Elt Pipelines, Feature Engineering, Personalization Systems, Recommendation Systems, Classification Models, Model Evaluation, Aws Sagemaker, Aws Personalize
**Posted:** 2025-12-03

> Lead development of personalization and recommendation systems as an early data hire. Build ML pipelines, classification models, and data infrastructure from the ground up using SQL and Python.

## Job Description

## Responsibilities
- Design and prepare high-quality data for personalization models: own data cleaning, feature selection, and model selection to build high-performing personalization models
- Build and maintain scalable pipelines for modeling data: develop robust ETL/ELT pipelines transforming raw behavioral, transactional, and catalog data into features using SQL and Python
- Optimize infrastructure to support ML personalization at scale: enhance data architecture and processing frameworks for real-time and batch modeling needs
- Ensure strong data governance and documentation: implement best practices for data quality, observability, and lineage across model-bound datasets
- Collaborate with Product and Engineering on instrumentation and feature tracking: ensure accurate tracking of user actions and translate business needs into modeling requirements
- Optimize classification models: develop and refine classification models that categorize events through feature engineering, tuning, and iteration

## Requirements
- 5+ years of hands-on experience in data science or analytics engineering
- Expert proficiency in SQL and Python for data cleaning, feature engineering, and building production-ready modeling pipelines
- Strong ability to design experiments, evaluate model performance, and communicate insights to technical and non-technical stakeholders
- Experience building personalization and recommendation systems (ranking, classification, or personalized UX models) in production
- Experience working with cloud data platforms, analytics tooling, and best practices in data modeling and ML optimization
- Background building the early foundation of a data team at a small tech company/startup

## Nice-to-Haves
- Experience with AWS Personalize, SageMaker, or similar cloud ML platforms
- Experience working on consumer-facing products at scale

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**Canonical:** https://hotfix.jobs/jobs/d2764aff-3b6c-43cf-a744-dc8c239aae07