Data Scientist (Masters)

ixolabs.ai; France; Sur place; EUR 50 000 - 80 000; Plein temps

Résumé du poste

ixolabs.ai is seeking a Data Scientist (Masters) to shape AI systems through advanced data analysis, feature engineering, and rigorous model evaluation.

You will design datasets, validate preprocessing methods, and apply supervised/unsupervised learning to classification, regression, and clustering tasks while communicating complex concepts clearly.

Qualifications

• Master's degree in Data Science, Computer Science, Statistics, or related quantitative field.
• 2 years of practical experience in data analysis, machine learning, or predictive modeling.
• Proficiency in Python (scikit-learn, pandas, numpy) and/or R.
• Solid understanding of supervised and unsupervised learning algorithms.
• Experience with SQL and data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
• Ability to explain complex data science concepts clearly and concisely.

Responsabilités

• Design and curate intermediate-level datasets for AI training, focusing on machine learning algorithms and statistical modeling.
• Evaluate AI-generated feature engineering strategies for relevance, dimensionality reduction, and predictive power.
• Assess AI's performance in model evaluation metrics (e.g., precision, recall, F1-score, AUC) and cross-validation techniques.
• Provide expert feedback on AI-proposed solutions for data preprocessing, outlier detection, and imputation methods.
• Formulate and validate complex data science problems for AI to solve, spanning classification, regression, and clustering tasks.
• Identify and correct logical inconsistencies in AI's interpretation of statistical inference and hypothesis testing.

Connaissances

Communication skills

Formation

Master's degree in Data Science, Computer Science, Statistics, or related quantitative field

Outils

Python (scikit-learn, pandas, numpy)

R

SQL

Tableau

Matplotlib

Seaborn

Description du poste

The efficacy of AI models is directly proportional to the quality and relevance of their training data. As a Data Scientist (Masters), you will play a crucial role in shaping AI's understanding of complex data patterns, feature engineering, and robust model evaluation, driving the development of more intelligent and reliable AI systems.

Key Responsibilities

• Design and curate intermediate-level datasets for AI training, focusing on machine learning algorithms and statistical modeling.
• Evaluate AI-generated feature engineering strategies for relevance, dimensionality reduction, and predictive power.
• Assess AI's performance in model evaluation metrics (e.g., precision, recall, F1-score, AUC) and cross-validation techniques.
• Provide expert feedback on AI-proposed solutions for data preprocessing, outlier detection, and imputation methods.
• Formulate and validate complex data science problems for AI to solve, spanning classification, regression, and clustering tasks.
• Identify and correct logical inconsistencies in AI's interpretation of statistical inference and hypothesis testing.

Ideal Qualifications

• Master's degree in Data Science, Computer Science, Statistics, or a related quantitative field.
• 2 years of practical experience in data analysis, machine learning, or predictive modeling.
• Proficiency in Python (scikit-learn, pandas, numpy) and/or R.
• Solid understanding of supervised and unsupervised learning algorithms.
• Experience with SQL and data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
• Ability to explain complex data science concepts clearly and concisely.