Senior Data Scientist - Remote, Real-Time Ad Tech Leader

Lever, Inc.; Netherlands; On-site; EUR 70,000 - 120,000; Full time

Benefits offered by this job

Direct exposure to founders

Global team across regions

Fully remote work with flexible WFH

Relocation to Berlin option

$500 home-office setup budget

$1,000 annual learning budget

Work on large-scale ML systems

Opportunity to impact Ad-Tech product

Job summary

Lever, Inc. in the Netherlands is seeking a Data Scientist to build machine-learning models for real-time advertising. You will own the full data science lifecycle from research to deployment, collaborating with engineers and analysts to deliver impactful insights and scalable solutions.

You’ll experiment with features, optimize models, and explore new data sources in a fast-paced, globally distributed team environment, focused on practical business impact.

Qualifications

• 3+ years creating data science products from research to production.
• Strong Python, SQL, and data engineering familiarity.
• Experience with experimental design and A/B testing.
• Ad-Tech experience is required.
• Ability to handle large, sparse datasets and real-time workloads.

Responsibilities

• Develop, improve, and maintain data science products through full lifecycle.
• Enhance models by adding features and tuning parameters.
• Collaborate with ML engineers to deploy scalable algorithms.
• Explore data sources to boost model performance and insights.
• Design, run, and evaluate A/B tests to validate hypotheses.
• Apply algorithms to large-scale datasets for prediction and clustering.
• Build monitoring dashboards and SQL tools to track performance.
• Write clean, well-tested code and contribute to reproducible workflows.
• Work with cross-functional teams to translate problems into scalable solutions.

Skills

Python

Spark

SQL

Airflow

Docker

Machine learning

A/B testing

Ad-Tech experience

Communication

Tools

CatBoost

LightGBM

TensorFlow

Job description

Lever, Inc. in the Netherlands is seeking a Data Scientist to build machine-learning models for real-time advertising. You will own the full data science lifecycle from research to deployment, collaborating with engineers and analysts to deliver impactful insights and scalable solutions.

You’ll experiment with features, optimize models, and explore new data sources in a fast-paced, globally distributed team environment, focused on practical business impact.