Senior Data Scientist - ML & Statistical Modeling

Inetum; United States; À distance; USD 120 000 - 180 000; Plein temps

Avantages offerts par ce poste

Base salary

Life insurance

Major medical insurance

Groceries vouchers

100% payroll scheme

Résumé du poste

Inetum is seeking a Senior Data Scientist with a strong statistical background to frame business problems as modeling tasks and deliver reproducible solutions for deployment by engineering teams.

The role works closely with an ML Engineering group, requiring judgment on responsibilities, code discipline, and scalable data handling in cloud environments. Candidates should have 5+ years in data science and a portfolio of end-to-end projects.

Qualifications

• 5+ years in data science, statistical analysis, or applied research.
• Documentable end-to-end projects: from problem definition to delivery of a validated model.
• Experience working with engineering teams (ML Engineers, Data Engineers) in agile environments.

Responsabilités

• Frame complex business problems as modeling problems and deliver reproducible solutions.
• Collaborate with ML Engineering team and adhere to software engineering standards.
• Design experiments, validate models, and assess business impact beyond accuracy.
• Document models with data lineage, assumptions, and limitations.

Connaissances

Python

ML libraries

Deep learning

SQL

PySpark

Cloud storage

Formation

Master's or Doctoral degree in Mathematics/Statistics/CS

Outils

Scikit-Learn

XGBoost

LightGBM

Pandas

Polars

Statsmodels

SciPy

MLflow

Description du poste

Inetum is seeking a Senior Data Scientist with a strong statistical background to frame business problems as modeling tasks and deliver reproducible solutions for deployment by engineering teams.

The role works closely with an ML Engineering group, requiring judgment on responsibilities, code discipline, and scalable data handling in cloud environments. Candidates should have 5+ years in data science and a portfolio of end-to-end projects.