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Algorithm Developer - Data Scientist Internship

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ITT Inc.

2024-10-05 07:44:25

Job location Caroga Lake, New York, United States

Job type: fulltime

Job industry: I.T. & Communications

Job description

About ITT
ITT is an industrial manufacturer of critical, engineered components that serve fast-growing end markets in transportation, flow, energy, aerospace and defense. The company's differentiation is sustained through a combination of several factors: execution, the quality of its leadership and our DNA as an engineering leader. We have a clear purpose as an organization: to provide our customers with cutting-edge solutions to help solve their most critical needs.

The company generated 2023 revenues of $3.3 billion and is comprised of three distinct segments:

Motion Technologies ($1.5B revenue) is a global leader in brake pads, shock absorbers and sealing solutions for the automotive and rail markets

Industrial Process ($1.1B revenue) is a global leader in centrifugal and twin-screw pumps for the chemical, energy, mining and industrial markets

Connect & Control Technologies ($0.7B) is a niche player in harsh environment connectors and control components in critical applications for the aerospace, defense and industrial markets.

ITT is headquartered in Stamford, Connecticut with over 10,000 employees in more than 35 countries and sales in approximately 125 countries.

Riepilogo posizione:
Siamo alla ricerca di un profilo interessato all'Analisi dati e allo sviluppo di algoritmi.

Responsabilità essenziali:
Il candidato si occuperà di analisi e processamento dati all'interno di un progetto innovativo di pastiglie freno sensorizzate all'interno di ITT.

Il candidato ideale è una persona con una forte attitudine al problem solving e una solida formazione accademica in materie scientifiche (Fisica, Matematica, Ingegneria). Sono richieste competenze base di programmazione (Matlab e Python considerati un plus) e una solida comprensione di fisica di base, analisi matematica e statistica, con un'attenzione particolare all'applicazione di queste discipline nell'analisi e risoluzione di problemi complessi.

È inoltre apprezzata la familiarità con le tecniche di machine learning e deep learning.

Requisiti di posizione:
Laurea in Fisica, Matematica, Ingegneria o materie equivalenti

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