Mid Data Scientist

22 set - Italia
Jobgether

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Mid Data Scientist based in Italy.

This role offers the opportunity to turn complex data into actionable insights and measurable business value. You will develop analytical and machine learning solutions across a variety of projects and business contexts. Working alongside diverse Data teams, you will take models from exploration and experimentation through validation and production. The position combines statistical analysis, machine learning, data visualization, and emerging MLOps practices. You will collaborate with both technical and non-technical stakeholders, translating complex findings into clear recommendations. It is an environment where ownership, adaptability, and practical problem-solving are highly valued.

Accountabilities:

As a Mid Data Scientist, you will own key parts of the analytical and machine learning lifecycle, from exploring data and engineering features to developing, evaluating, and supporting production-level models.



You will work collaboratively across Data teams while ensuring that solutions are technically sound, reliable, and aligned with business needs.
- Conduct exploratory data analysis to identify patterns, trends, anomalies, and opportunities.
- Perform feature engineering and prepare high-quality datasets for analytical and machine learning use cases.
- Build, train, tune, and validate supervised and unsupervised machine learning models.
- Apply statistical and probabilistic methods, including hypothesis testing, inference, and distribution analysis.
- Define appropriate evaluation metrics and validation strategies, including cross-validation and overfitting analysis.
- Use experimentation and model management tools such as MLflow, Weights & Biases, or Databricks ML.
- Analyze and query data using SQL.
- Develop clear and informative data visualizations using Matplotlib, Seaborn, Plotly, and BI plat

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