Data Scientist Junior

Location: Biella

Experteer Overview You will design and implement robust ML models to tackle complex business challenges, shaping AI-driven solutions for global partners. Collaborating with data engineers and cross‑functional teams, you’ll build end‑to‑end data workflows and translate insights into actionable recommendations. By leveraging LLMs and staying abreast of AI advances, you will drive scalable, production‑ready analytics that support digital transformation.

This role offers the chance to contribute to enterprise‑grade solutions within a diverse, innovation‑driven culture. Join Globant to help businesses meet personalized consumer expectations through data and AI.Retribuzione / Benefits Design and deploy robust machine learning models to address business challenges

Perform advanced statistical analyses and predictive modeling on large datasets

Develop end‑to‑end data workflows including feature engineering and data prep Collaborate with data engineers to align data pipelines with modeling needs

Leverage Lang Chain and other LLM tech to build AI‑driven applications

Translate data insights into actionable business recommendations for stakeholders

Optimize models for production with a focus on scalability and performance

Stay updated on AI/ML and LLM advancements to apply state‑of‑the‑art techniques

Work in Agile teams and contribute to enterprise‑grade solutions

Understand REST API integration and backend architectures

ResponsabilitàBachelor's degree in Computer Science, Computer Engineering, or related field

Proficiency in Python or RExperience with ML frameworks (Tensor Flow, PyTorch, Scikit‑learn)

Experience with big data tools (Hadoop, Spark) and cloud platforms (AWS, Azure, Google Cloud)
Strong SQL skills;
No

SQL familiarity (Postgre

SQL, Mongo

DB)
Data preparation and feature engineering for ML models

Data visualization skills (Tableau, Power BI, Matplotlib)
Familiarity with Lang Chain and LLMs; REST API and backend basics

Experience in containerization/orchestration (Docker, Kubernetes)
Knowledge of data governance, security, and model explainability
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