Senior Full-Stack ML Engineer (m/w/d)

About this role

Cint is a pioneer in research technology (ResTech). Our customers use the Cint platform to post questions and get answers from real people to build business strategies, confidently publish research, accurately measure the impact of digital advertising, and more. The Cint platform is built on a programmatic marketplace, which is the world’s largest, with nearly 300 million respondents in over 150 countries who consent to sharing their opinions, motivations, and behaviours.

We are feeding the world’s curiosity!

Job Description

We are seeking a
Senior Full-Stack Machine Learning Engineer
who thrives at the intersection of software engineering and data science. In this role, you will be the bridge between raw data and product impact. You won’t just be training models in a vacuum; you will be architecting the data pipelines that feed them and the production systems that serve them.

This is a hybrid role for a builder who thinks like a scientist. You will not only build the engines (ML Engineering) but also act as the navigator (Data Science), using data to tell us where the product should go next.

What You'll Do: Key Responsibilities

- End-to-End ML Lifecycle:
Design, develop, and deploy production-grade ML models using Python and Spark. You will own the full cycle from feature engineering to model monitoring.
- Data Architecture & Pipelines:
Build and maintain robust data pipelines within our Databricks environment.
- Exploratory Data Analysis (EDA) & Discovery:
Dive deep into large datasets to uncover hidden patterns, anomalies, and opportunities. You don’t just process data; you interpret what it says about our users.
- Statistical Rigor & Hypothesis Testing:
Design and execute rigorous A/B tests and multivariate experiments. You will be responsible for calculating sample sizes, p-values, and confidence intervals to ensure product changes are statistically significant.
- Metric Definition:
Work with stakeholders to defin...