Staff Data Scientist — Real-Time ML & A/B Testing

Jobtailor; New York (NY); On-site; USD 180,000 - 240,000; Full time

Job summary

Jobtailor is seeking a senior data science professional to own and evolve production ML models for real-time recommendations, pricing, and conversion. You will design robust feature pipelines in Redshift/Snowflake environments, collaborate with cross-functional teams, and drive hypothesis-driven experimentation in a production setting.

The role requires 7+ years in data science, deep Python/SQL skills, and experience with ML platforms (SageMaker, Spark, Ray, MLflow).

Qualifications

• 7+ years of experience across data science, ML, and data engineering.

Responsibilities

• Own and develop production ML models for real-time recommendations, pricing, and conversion.
• Design, build, and manage feature pipelines in data warehouse using dbt, Airflow, SQL.
• Lead design and analysis of large-scale A/B tests and translate results into actionable product and model improvements.
• Collaborate with product managers and stakeholders to scope data science projects.
• Deploy, monitor, and maintain ML models in production with real-time serving.
• Contribute to MLOps platform and tooling.
• Present findings and model insights to executive stakeholders with business context.

Skills

Production ML Model Development

Data Pipeline Management

A/B Testing and Experiment Design

Python and SQL Proficiency

MLOps Platform Contribution

Real-Time ML Systems

Software Engineering

Education

Bachelor’s or Master’s degree in a quantitative field

Tools

Redshift

Snowflake

Dbt

Airflow

SageMaker

Spark

Ray

MLflow

Docker

Kubernetes

Job description

Jobtailor is seeking a senior data science professional to own and evolve production ML models for real-time recommendations, pricing, and conversion. You will design robust feature pipelines in Redshift/Snowflake environments, collaborate with cross-functional teams, and drive hypothesis-driven experimentation in a production setting.

The role requires 7+ years in data science, deep Python/SQL skills, and experience with ML platforms (SageMaker, Spark, Ray, MLflow).