Exceptional Data Scientists

aitrainer; Deutschland; Vor Ort; EUR 55.000 - 80.000; Teilzeit

Zusammenfassung

aitrainer is seeking a data scientist to support cutting-edge AI projects in Germany. Responsibilities include designing experiments and collaborating with engineering teams to deploy machine learning models. Ideal candidates should have over 3 years of experience in data science, proficiency in Python and Jupyter Notebooks, and a strong background in machine learning.

The position requires attention to detail and excellent communication skills. The expected commitment is 20–40 hours per week, starting early September.

Qualifikationen

• 3+ years of professional experience in data science or applied analytics.
• Proficient in Python and Jupyter Notebooks.
• Familiar with libraries including numpy, pandas, scipy, torch, tensorflow.

Aufgaben

• Design experiments and gather data for analysis.
• Build and evaluate machine learning models.
• Collaborate with engineering teams for production deployment.

Kenntnisse

Python

Jupyter Notebooks

Machine learning frameworks (TensorFlow, PyTorch)

Data analysis with libraries (numpy, pandas, scikit-learn)

Data preprocessing and wrangling

Ausbildung

Bachelor's degree in data science, statistics, or computer science

Jobbeschreibung

Role Overview

Mercor is seeking data scientists to support one of the world’s leading AI labs in building robust, high-performance systems for next‑generation machine learning applications. In this role, you will focus on hands‑on data science tasks, such as designing experiments, gathering and preprocessing data, building and evaluating models, and collaborating closely with engineering teams to deploy production-ready solutions. Ideal candidates should be proficient in Python (Jupyter Notebooks), familiar with machine learning frameworks like TensorFlow or PyTorch, and experienced in analyzing large datasets and building predictive models. In addition, you will write, review, and validate prompt‑based questions used to train AI systems.

You are a good fit if you:

• Have over 3+ years of professional experience in data science or applied analytics.
• Are highly skilled in Python and Jupyter notebooks.
• Have experience using libraries including numpy, pandas, scipy, sympy, scikit-learn, torch, tensorflow.
• Have a bachelor's degree in data science, statistics, computer science, or related field in the U.S., Canada, New Zealand, UK or Australia.
• Have a strong background in one or more of the following areas: exploratory data analysis and statistical inference, machine learning workflows and model evaluation, feature engineering/data preprocessing/data wrangling, or A/B testing/experimentation/causal inference.
• Demonstrate excellent verbal and written communication skills.
• Have strong attention to details.

More About the Opportunity

Commitment: 20–40 hours per week, with potential to scale up to 80 hours.

Start Date: Early September, with applications reviewed on a rolling basis.

We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.