Data Scientist
At a glance
Mid-level Data Science role at Gategroup. Madrid_office Corporate · full-time.
Pay not stated Data Scientist salary
dataroles summary, based on the employer's posting.
What you'll do
- Examine large datasets with statistical and machine learning methods to find meaningful patterns and relationships
- Build and refine predictive models and algorithms to tackle business problems
- Prepare raw data for analysis by cleaning and reshaping it into usable formats
- Coordinate with product managers, engineers and other partners to clarify needs and deliver data solutions
- Turn findings into visuals, reports and presentations for technical audiences and senior leaders
What you bring
- At least three years of professional work in data science
- A bachelor's or master's degree in computer science, statistics, mathematics, data science or a related discipline
- Experience creating predictive models and handling large datasets is strongly preferred
- You can use analytical, data-led methods to solve difficult problems and explain technical ideas to non-technical audiences
Who this fits
This suits a mid-level data scientist who can move between data preparation, modeling and communicating findings. The role is based at the Madrid office in Spain.
From the employer
We’re looking for motivated, engaged people to help make everyone’s journeys better.
TechnKey Responsibilities:
• Data Analysis: Analyze large datasets to identify trends, patterns, and correlations using statistical and machine learning techniques.
• Model Development: Develop, implement, and optimize predictive models and algorithms to address business challenges.
• Data Preprocessing: Clean, preprocess, and transform raw data into usable formats for analysis.
• Collaboration: Work with product managers, engineers, and other stakeholders to understand business requirements and deliver impactful solutions.
• Visualization: Create clear and effective data visualizations to communicate insights to both technical and non-technical audiences.
• Reporting: Present findings and insights through reports, dashboards, and presentations to senior leadership.
• Research & Innovation: Stay updated with the latest developments in data science, machine learning, and AI to apply cutting-edge techniques and tools.
Education:
Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Data Science, or a related field.
Work Experience:
At least 3 years in data science
Experience in building predictive models and working with large datasets is highly preferred.
Technical Skills:
• Problem-Solving: Strong analytical skills with the ability to solve complex problems using data-driven approaches.
• Communication: Excellent written and verbal communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
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