Madrid_office Corporate
Open 6 months, first seen by us 181 days agoEmployment type in the employer’s posting: Full timeFrom the employer’s posting
Analyze large datasets to find trends, patterns and correlations
Develop, implement and optimize predictive models and algorithms
Clean and transform raw data into usable formats
Present insights via visualizations, reports and dashboards to senior leadership
Analyze large datasets to identify trends, patterns, and correlations using statistical and machine learning techniques.
Develop, implement, and optimize predictive models and algorithms to address business challenges.
Clean, preprocess, and transform raw data into usable formats for analysis.
Present findings and insights through reports, dashboards, and presentations to senior leadership.
At least 3 years in data science
Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Data Science, or a related field.
Strong analytical skills with the ability to solve complex problems using data-driven approaches.
Excellent written and verbal communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
Experience in building predictive models and working with large datasets is highly preferred.
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:
Open 6 monthsWe first saw this posting 181 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
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Day 181
Up longer than most. Similar jobs usually come down between day 7 and day 56.
Well past gategroup Holding’s usual: its jobs come down by about day 22.
From 10,418 similar postings that came down, and 9 of gategroup Holding’s. Coming down is not always a hire.
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New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
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.
If you want to be part of a team that helps make travel and culinary memories, join us!
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Madrid_office Corporate
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