Data Scientist

Thrive IT Systems; Madrid; On-site; EUR 50,000 - 65,000; Full time

Job summary

Thrive IT Systems in Madrid, Spain, is seeking a data scientist to transform raw data into actionable insights. You will prep data, build models, and create dashboards that inform product decisions.

Collaborate with data engineers and software teams to deploy models, validate results, and communicate findings to stakeholders with clear visualizations.

Qualifications

• Statistics and data science expertise required.
• Experience with ML, data mining, and predictive modeling.
• Experience with big data frameworks (Hadoop/Spark) beneficial.
• Proficiency with BI tools Tableau/Power BI and ML libraries (Scikit-learn, TensorFlow).

Responsibilities

• Data preparation: clean, preprocess and validate structured and unstructured data.
• Modeling: build predictive models using ML algorithms and experiments.
• Visualization: translate findings into dashboards/reports for stakeholders.
• Cross-functional collaboration to productionize models with data engineers and product teams.

Skills

Statistics

Data Science

Machine Learning

Data Mining

Predictive Modeling

Big Data

Tools

Tableau

Power BI

Scikit-learn

TensorFlow

SAS

Hadoop

Spark

Job description

• Data Preparation Collect clean preprocess and validate structured and unstructured data
• Modeling ML Build predictive models machine learning algorithms and statistical experiments
• Visualization Reporting Translate technical findings into visual dashboards reports and strategic recommendations for stakeholders
• Cross-Functional Work Collaborate with data engineers product managers and software teams to push models into production

Core Technical Skills

• Machine learning statistical analysis data mining predictive modeling and big data frameworks such as Hadoop or Spark
• Tools Platforms Business intelligence tools like Tableau or Power BI plus libraries software like Scikitlearn TensorFlow or SAS

Skills

Mandatory Skills : Statistics-Data Science

Good to Have Skills : AI/ML Architecture