Data Scientist III, ProdOps OAT, Project Kuiper

Amazon; Asti; In loco; EUR 123.000 - 214.000; Tempo pieno

Descrizione del lavoro

A leading technology firm in Piemonte, Italy is seeking a Senior Data Scientist to develop machine learning solutions and analyze manufacturing data. Candidates should have at least 5 years of experience with data querying and scripting languages. This role requires collaboration with engineering teams and mentoring of junior members. A bachelor’s degree in a quantitative field is essential, with preferred experience in data visualization tools like Tableau and AWS services.

Servizi

Competitive salary

Comprehensive benefits package

Competenze

• 5+ years of experience with data querying and scripting.
• 4+ years as a data scientist.
• Experience managing data pipelines.

Mansioni

• Lead ML/LLM solutions to analyze manufacturing data.
• Build production-ready ML pipelines using AWS services.
• Mentor team members on data science best practices.

Conoscenze

Data querying languages (e.g., SQL)

Scripting languages (e.g., Python)

Statistical models (e.g., multinomial logistic regression)

AWS tech stack

Data visualization

Formazione

Bachelor’s degree in a quantitative field

Strumenti

AWS QuickSight

Tableau

R Shiny

Descrizione del lavoro

Job ID: 3047064 | Amazon Kuiper Manufacturing Enterprises LLC

Project Kuiper is Amazon’s low Earth orbit satellite broadband network. Its mission is to deliver fast, reliable internet to customers and communities around the world, and we’ve designed the system with the capacity, flexibility, and performance to serve a wide range of customers, from individual households to schools, hospitals, businesses, government agencies, and other organizations operating in locations without reliable connectivity.

Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.

Role Overview

As a Senior Data Scientist (DS), you will drive the development and implementation of advanced analytics and machine learning solutions. You will work on critical initiatives including natural language processing for non-conformance analysis, statistical process controls (SPC) for test optimization, and equipment predictive maintenance models to enable manufacturing rate acceleration. Your work will directly influence Kuiper’s production manufacturing workflow.

You are an analytical problem solver who enjoys diving into data from various businesses, is excited about investigations and algorithms, can multi-task, and can credibly interface between scientists, engineers, and business stakeholders. Your expertise in synthesizing and communicating insights and recommendations to audiences of varying levels of technical sophistication will enable you to answer specific business questions and innovate for the future.

Key Responsibilities

• Lead the design and implementation of ML/LLM solutions to analyze manufacturing data and identify failure patterns and operational risks.
• Design predictive models for statistical process control and equipment maintenance optimization.
• Build production-ready ML pipelines leveraging AWS services (e.g., SageMaker, Bedrock, AWS Glue).
• Formalize assumptions about how models are expected to behave, creating definitions of outliers, developing methods to systematically identify these outliers, and explaining why they are reasonable or identifying fixes for them.
• Develop and test model enhancements, running computational experiments, and fine‑tuning model parameters for new models.
• Collaborate with engineering teams to translate complex manufacturing challenges into data‑driven solutions.
• Drive consensus on metrics and analysis approaches to support business strategy.
• Write documents and create compelling visualizations and presentations to communicate insights to stakeholders.
• Mentor team members and drive data science best practices across the organization.

Basic Qualifications

• Bachelor’s degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science.
• 5+ years of data querying languages (e.g., SQL), scripting languages (e.g., Python) or statistical/mathematical software (e.g., R, SAS, Matlab, etc.) experience.
• 4+ years of data scientist experience.
• Experience with statistical models such as multinomial logistic regression.
• Knowledge of AWS tech stack (e.g., AWS Redshift, S3, EC2, Glue).
• Experience as a leader and mentor on a data science team.
• Experience solving optimization problems for large organizations.

Preferred Qualifications

• Master’s degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science.
• 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience.
• Experience managing data pipelines.
• Strong ability to interact, communicate, present, and influence within multiple levels of the organization.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several U.S. geographic markets. The base pay for this position ranges from $143,300/year in our lowest geographic market up to $247,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign‑on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.