Data Scientist - Intermediate
ESP - Madrid - Castellana
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
What you’ll work on
Full postingPrepare and integrate large, diverse data sets for analysis
Develop predictive models, risk assessments and fraud detection solutions
Translate business requests into use cases, test cases and training data sets
Package and visualize analytical findings for management
Evaluate the work of peer and junior data scientists
From the employer’s posting
manipulate large data sets, integrate diverse data sources, data types and data structures
collaborating with other teams to develop predictive models, risk assessments, fraud detection, recommendation engines, etc.
translating requests into use cases, test cases, preparation of training data sets and iterative algorithm development
Package, summarize and visualize analytical findings and results for management
Evaluate the work of peer and/or junior data scientists to ensure high quality solutions
What you’ll bring
All qualificationsCore experience
- BS degree in a STEM major or equivalent discipline
- 2-5 years in a related analytical role, including predictive model design and development
- Experience working in a PICK environment
Qualification wording
BS degree in a STEM major or equivalent discipline
2-5 years of experience in a related analytical role, including experience with the design and development of predictive models
Experience working in PICK enviroment
Education & alternatives
What experience you need - BS degree in a STEM major or equivalent discipline - 2-5 years of experience in a related analytical role, including experience with the design and development of predictive models
What could set you apart - Master’s degree or higher in Mathematics, Computer Science , Engineering, Operations Research, Statistics or other related discipline a definite plus Primary Location:
Posting record
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- Live
- First seen by us
- Sep 22, 2026 · 26 days ago
- Recorded sightings
- 80
- Last seen by us
- Oct 18, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
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Job description
As a Data Scientist, you will have the opportunity to manipulate large data sets, integrate diverse data sources, data types and data structures into solutions under management guidance. You will build experience developing analytical approaches to meet business requirements, which involves translating requests into use cases, test cases, preparation of training data sets and iterative algorithm development.
What you will do
Utilize combined knowledge of data structures, analytics, algorithms/models, and strong computer science fundamentals to prepare datasets, conduct analytics, and develop deployable solutions with guidance from more senior resources
Leverage knowledge of data structures and algorithms to analyze and prepare data for analysis, assembling data from standard and new data sources
Able to analyze and prepare complex and new data sources and incorporate them into analytical solutions.
Works on moderate complexity tasks in problems often within multiple business or analytical domains, collaborating with other teams to develop predictive models, risk assessments, fraud detection, recommendation engines, etc.
Package, summarize and visualize analytical findings and results for management
Evaluate the work of peer and/or junior data scientists to ensure high quality solutions
What experience you need
BS degree in a STEM major or equivalent discipline
2-5 years of experience in a related analytical role, including experience with the design and development of predictive models
Cloud certification strongly preferred
Additional role-based certifications may be required depending upon region/BU requirements
Experience working in PICK enviroment
What could set you apart
Master’s degree or higher in Mathematics, Computer Science , Engineering, Operations Research, Statistics or other related discipline a definite plus
Primary Location:
ESP-Madrid CastellanaFunction:
Function - Data and AnalyticsSchedule:
Full timeSource details
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
ESP - Madrid - Castellana
Working pattern and location restrictions need checking in the full posting.
- Work authorization
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