Senior Data Scientist, R2L Analytics

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

Descrizione del lavoro

A leading global logistics company is seeking a Data Scientist to revolutionize package delivery. You will develop machine learning models and analyze complex logistics data. The ideal candidate has over 5 years of experience in data science and a master's degree in a relevant field. This role offers competitive compensation and opportunities for professional growth.

Servizi

Medical benefits

Financial benefits

Employee equity options

Competenze

• 5+ years of experience with data querying languages.
• 5+ years of data science experience.
• Strong background in data extraction, analysis, and communication.

Mansioni

• Build sophisticated machine learning models.
• Develop advanced AI solutions using Python and AWS.
• Collaborate with cross-functional teams on technical findings.

Conoscenze

Data querying languages (e.g., SQL)

Scripting languages (e.g., Python)

Statistical models

Data extraction and analysis

Communication skills

AWS tools

Formazione

Master's degree in a quantitative field or Bachelor's degree with 8+ years experience

Strumenti

AWS QuickSight

Tableau

R Shiny

Descrizione del lavoro

Overview

Job ID: 3095718 | Amazon.com Services LLC

Revolutionize logistics through groundbreaking data science at Amazon. We are seeking an innovative problem-solver to transform complex global logistics challenges using advanced analytics and artificial intelligence. Your work will directly impact how millions of packages move worldwide, leveraging cutting-edge machine learning, Large Language Models (LLMs), and predictive technologies to optimize our intricate delivery networks. Our team empowers data-driven decision-making by developing sophisticated analytical solutions that bridge operational insights with strategic vision. You will design scalable models, implement advanced AI technologies, and create transformative recommendations that reshape logistics efficiency at a global scale.

A day in the life
As a Data Scientist in our R2L team, you will immerse yourself in intricate data ecosystems, uncovering patterns and opportunities that can revolutionize package delivery. Your daily work will involve exploring massive datasets, developing analytical approaches, building production pipelines, and transforming raw information into strategic intelligence.

About the team
We are a dynamic collective of data enthusiasts dedicated to optimizing Amazon's logistics infrastructure. Our team operates at the intersection of technology, operations, and strategic innovation, working collaboratively to create more intelligent, responsive, and efficient delivery systems.

Responsibilities

• Build sophisticated machine learning models and production pipelines to analyze complex logistics data
• Develop advanced AI solutions using Python, AWS tools, and technologies like Large Language Models
• Synthesize information from diverse data sources to generate meaningful, actionable business insights
• Collaborate with cross-functional teams to translate complex technical findings into strategic recommendations
• Design and implement optimization strategies that enhance network performance and operational efficiency

Basic Qualifications

• 5+ years of experience with data querying languages (e.g., SQL), scripting languages (e.g., Python) or statistical/mathematical software (e.g., R, SAS, Matlab)
• 5+ years of data science experience
• Experience with statistical models such as multinomial logistic regression
• Master's degree in a quantitative field (statistics, mathematics, data science, business analytics, economics, finance, engineering, computer science) or a Bachelor's degree with 8+ years of professional or military experience
• Strong background in data extraction, analysis, and communication
• Expertise in AWS tools and AI-focused technologies

Preferred Qualifications

• 2+ years of data visualization experience (AWS QuickSight, Tableau, R Shiny, etc.)
• Experience as a leader and mentor on a data science team
• Experience designing, building and managing data pipelines
• Knowledge of AWS tech stack (e.g., Redshift, S3, EC2, Glue)
• Experience working with scientists, economists, software developers, or product managers
• Experience collaborating with data engineers and BI engineers

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 US 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. Depending 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.

Location: ES, Community of Madrid, Madrid

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