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Data Scientist - Intermediate

ESP - Madrid - Castellana

Pay
Pay not listed
Work setting
Not stated
Employment
Full-time — employment source
Schedule: Full time
Employment type in the employer’s listing: Full time
From the employer’s posting
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What you’ll work on

Full posting
  • Prepare 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 qualifications

Core 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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Status in our records
Live
First seen by us
Sep 22, 2026 · 26 days ago
Recorded sightings
80
Last seen by us
Oct 18, 2026

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  • Check the listed location, eligibility and core experience before starting.
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Job description

View original posting ↗

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 Castellana

Function:

Function - Data and Analytics

Schedule:

Full time
Source details

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Location & working pattern

ESP - Madrid - Castellana

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