Natalie Münter
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Natalie Münter Email & Phone Number

Senior Data Scientist at Ascent
Location: Spain, Spain, Spain 10 work roles 4 schools
1 work email found @ascent.software LinkedIn matched
✓ Verified May 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email

Work email n****@ascent.software
LinkedIn Profile matched
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Current company
Role
Senior Data Scientist
Location
Spain, Spain, Spain
Company size

Who is Natalie Münter? Overview

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Quick answer

Natalie Münter is listed as Senior Data Scientist at Ascent, a company with 632 employees, based in Spain, Spain, Spain. AeroLeads shows a work email signal at ascent.software and a matched LinkedIn profile for Natalie Münter.

Natalie Münter previously worked as Data Scientist at Ascent and Data Scientist at Amazon. Natalie Münter holds Data Science Immersive Course, Data Science from Galvanize.

Company email context

Email format at Ascent

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*@ascent.software
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AeroLeads found 1 current-domain work email signal for Natalie Münter. Compare company email patterns before reaching out.

Profile bio

About Natalie Münter

My team at Amazon is hiring. If you are interested in current open positions in Data Science, Operations Research, Machine Learning, Software Development or Product/Program Manager check https://lnkd.in/gNwYsjW. Send me a message if you have any questions :)

Listed skills include Java, Data Science, Python, Machine Learning, and 35 others.

Current workplace

Natalie Münter's current company

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Ascent
Ascent
Senior Data Scientist
Spain
Employees
632
AeroLeads page
10 roles

Natalie Münter work experience

A career timeline built from the work history available for this profile.

Senior Data Scientist

Spain

Data Scientist

Current

Remote

Apr 2021 - Present

Mom - Data Scientist Training A Human Model

Current

Currently working on the most important project in my life, her name is Mia. I successfully delivered the minimum viable product (MVP) January 2019 and since then I have been adding features: rolling, sitting, crawling, baby signing and even walking. I keep training this cute model and feeding it with more data so that it categorizes the world with better.

Jan 2019 - Present

Data Scientist

Seattle

As a Data Scientist in the Fulfillment Execution Data Science team, I am using Data Science to help optimize current Supply Chain network and support Amazon's expansion.

Dec 2016 - Sep 2019

Data Science Fellow

Seattle

  • Completed the 12 weeks in the highly selective Data Science Immersive Course:
  • Growing my knowledge and skills in Machine Learning, Statistics, A/B Testing, Clustering, Topic Modeling (NMF, LDA), NLP, Hadoop, Spark, and MapReduce.
  • Consolidating my programming, SQL and NoSQL skills.
  • Developing case studies: Predicting churn, building a joke recommender, predicting fraud.al
  • Capstone project: Predicting success of change.org petitions using NLP and classification algorithms like AdaBoosting and RandomForest. Build Pipeline to optimize results. https://github.com/nmoraesmunter/BeTheChange
May 2016 - Nov 2016

Senior Java Developer

London, United Kingdom

  • Developed front and back end of new login and payment page always led by testing. Using spring JEE framework and Riak NoSQL database.
  • Configured distributed system with Puppet, Vagrant reducing the time of Development and Deployment process.
  • Agile environment.
May 2014 - Sep 2014

Java Senior Developer

Barcelona

  • Built an A/B test configuration tool using Google Web Toolkit and and Hibernate to connect to the MySQL database that helped the product managers to configure A/B tests without the need of a technical person.
  • Developed strategic project that helped to maximize the benefits by reservation using JEE and an Oracle database.
  • Advocated for Agile methodologies, code reviews and TDD.
Feb 2013 - Apr 2014

Software Engineer R&D

  • Developed and maintained the Integration Engine in JEE on Jboss with medical standards like DICOM, HL7 and Web Services.
  • Developed a desktop application in JSE enabling users to send their electrocardiograph tests to the UK’s Egton Medical Information Systems.
  • Developed part of the firmware of the new electrocardiograph device with Qt (C++) which enabled users to synchronize the medical test with the medical centers through WI-FI. It also improved the overall user experience.
  • Met with clients to determine project requirements, analyzed and implemented new functionalities for the Integration Engine.
  • Coordinated and gave support for product’s integrations.
May 2011 - Jan 2013

Java Consultant

Csc
  • Developed first mobile application for pharmaceutical client in J2ME increasing sales productivity and results. - Nominated for internal award of technical excellence.
  • Analyzed and developed a web version of the sales application in JEE which allowed users to make orders online.
  • Extract data for the marketing team through SQL and PL/SQL to help them make data driven decisions.
Jul 2005 - Apr 2011

Receptionist

Call center, call management, guest Reception, management of internal and external messaging, administrative Tasks

Oct 2002 - Jul 2005
4 education records

Natalie Münter education

Data Science Immersive Course, Data Science

Galvanize

Master Of It Management

Éste máster forma a profesionales para que sean capaces de gestionar la tecnología con criterios empresariales. Para ser capaces de.

FAQ

Frequently asked questions about Natalie Münter

Quick answers generated from the profile data available on this page.

What company does Natalie Münter work for?

Natalie Münter works for Ascent.

What is Natalie Münter's role at Ascent?

Natalie Münter is listed as Senior Data Scientist at Ascent.

What is Natalie Münter's email address?

AeroLeads has found 1 work email signal at @ascent.software for Natalie Münter at Ascent.

Where is Natalie Münter based?

Natalie Münter is based in Spain, Spain, Spain while working with Ascent.

What companies has Natalie Münter worked for?

Natalie Münter has worked for Ascent, Amazon, Galvanize, William Hill, and Odigeo.

How can I contact Natalie Münter?

You can use AeroLeads to view verified contact signals for Natalie Münter at Ascent, including work email, phone, and LinkedIn data when available.

What schools did Natalie Münter attend?

Natalie Münter holds Data Science Immersive Course, Data Science from Galvanize.

What skills is Natalie Münter known for?

Natalie Münter is listed with skills including Java, Data Science, Python, Machine Learning, Natural Language Processing, A/B Testing, Sql, and Logistic Regression.

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