Senior Data Scientist - Remote ML for Ad Tech

FarCoder; United States; Remote; USD 80,000 - 125,000; Full time

Benefits offered by this job

Home-office budget

Annual learning and development budget

Fully remote work

Job summary

Jobgether is seeking a Data Scientist to join a fully remote team focused on large-scale ML for programmatic advertising. You will work on end-to-end ML projects from research to production, handling terabytes of data and billions of real-time requests.

The role emphasizes experimentation, feature engineering, and collaboration with ML engineers and analysts in a fast-paced, globally distributed environment. This position is remote with opportunities to relocate to Berlin.

Qualifications

• 3+ years developing data science products from research to deployment.
• Proficient in Python, Spark, Hadoop, Airflow, Docker and SQL.
• Experience in Ad-Tech and delivering ML models at scale is required.

Responsibilities

• Develop, improve, and maintain data science products through full lifecycle.
• Enhance models by adding features and tuning parameters.
• Collaborate with ML engineering, analytics, and data science teams to deploy scalable algorithms.
• Design and evaluate A/B tests to validate hypotheses and guide decisions.
• Apply ML to large-scale, real-time data for advertising use cases.
• Write clean, well-tested code and maintain data science workflows.

Skills

Python

SQL

Docker

REST

A/B Testing

AI

Spark

Hadoop

CatBoost/LightGBM

Neural Networks

Tools

CatBoost

LightGBM

Spark

Airflow

Job description

Jobgether is seeking a Data Scientist to join a fully remote team focused on large-scale ML for programmatic advertising. You will work on end-to-end ML projects from research to production, handling terabytes of data and billions of real-time requests.

The role emphasizes experimentation, feature engineering, and collaboration with ML engineers and analysts in a fast-paced, globally distributed environment. This position is remote with opportunities to relocate to Berlin.