Senior Data Scientist , AWS Managed Operations Data Science (MODS)

Amazon; Asti; In loco; EUR 65.000 - 85.000; Tempo pieno

Descrizione del lavoro

A global technology leader is seeking a Senior Data Scientist in Asti, Italy, to lead data-driven strategies and collaborate with cross-functional teams. The ideal candidate should have over 6 years of experience in data science, proficiency in SQL and Python, and a Master's degree in a quantitative field. This role emphasizes data insights and operational excellence within the innovative AWS Managed Operations team.

Servizi

Mentorship and career growth opportunities

Work-life balance support

Inclusive team culture

Competenze

• 6+ years of data scientist experience.
• 5+ years of experience with data querying languages (SQL) and scripting languages (Python).
• Experience managing data pipelines and statistical models.

Mansioni

• Conduct exploratory data analysis to extract insights.
• Translate data insights into actionable recommendations.
• Define and monitor advanced metrics capturing operational complexities.

Conoscenze

Data exploration and analysis

Collaboration with cross-functional teams

Implementation of data pipelines

Statistical modeling

Formazione

Master’s degree in a quantitative field

Strumenti

SQL

Python

R

Descrizione del lavoro

Senior Data Scientist, AWS Managed Operations Data Science (MODS)

Job ID: 2854035 | Amazon Development Center U.S., Inc.

Amazon Web Services (AWS) is the world leader in providing a highly reliable, scalable cloud infrastructure that powers hundreds of thousands of businesses in 190 countries. The AWS Managed Operations (MO) organization reduces operational load and toil through long-term engineering projects to improve availability, reliability, latency, performance and efficiency for AWS Regions. The AWS Managed Operations Data Science (MODS) team is seeking a Senior Data Scientist to lead research and drive our data and insight strategy for AWS. You will serve as a Full Stack Data Scientist, responsible for end-to-end data science lifecycle including data exploration, feature engineering, ETL, and model development using SQL, Python, Spark, Hugging Face, and other ML frameworks.

Your work will influence technology strategy for the MODS organization and provide insights to AWS Operations and Site Reliability Engineering teams. You will tackle ambiguous, large-scale problems, collaborating with cross-functional teams.

Arlington, VA (HQ2) – This role sits at our new Northern Virginia headquarters.

We are committed to inclusive growth and employee development.

Requirements include U.S. citizenship.

Key job responsibilities

• Collaboration & Cross Functional Relationships: Interact with business and software teams to understand requirements and operational processes.
• Data Exploration and Analysis: Conduct exploratory data analysis to understand structure, quality, and patterns in complex datasets; apply statistical and ML techniques to extract insights and identify trends.
• Business Insights and Recommendations: Translate data insights and model outputs into actionable recommendations aligned with strategic objectives.
• Data Pipeline and Infrastructure: Contribute to design and implementation of data pipelines, data lakes, and data infrastructure to support data-driven initiatives.
• Metric Development and Monitoring: Define and monitor advanced metrics and KPIs capturing strategic objectives and operational complexities.
• Prototype models: Develop prototypes using R or Python; collaborate with a software team to productionize.
• Documentation & Continuous Improvement: Create and maintain technical documentation.

A day in the life · Why AWS

Amazon Web Services (AWS) is the world’s most comprehensive cloud platform. We pioneer cloud computing and continuously innovate, trusted by startups and Global 500 companies alike.

Inclusive Team Culture · We foster inclusion through employee-led affinity groups and ongoing learning experiences.

Work/Life Balance · We value flexibility and strive for balance to support performance.

Mentorship and Career Growth · We offer knowledge sharing, mentorship, and career development resources.

Diverse Experiences · Amazon encourages candidates with diverse backgrounds to apply, even if all qualifications are not met.

About the team · The MODS team aims for operational excellence through data analytics and ML, providing actionable insights to manage operational posture and improve processes. We define, monitor, and predict metrics to inform diagnostic, predictive, and prescriptive actions. We are a customer-obsessed team driving lean operations with data strategies that enable process improvements.

BASIC QUALIFICATIONS

• 6+ years of data scientist experience
• 5+ years of experience with data querying languages (SQL), scripting languages (Python), or statistical software (R, SAS, Matlab)
• Experience with statistical models such as multinomial logistic regression

PREFERRED QUALIFICATIONS

• Master’s degree in a quantitative field (statistics, mathematics, data science, business analytics, economics, finance, engineering, or CS)
• 8+ years of data scientist experience
• 6+ years of data visualization experience (AWS QuickSight, Tableau, R Shiny, etc.)
• Experience managing data pipelines
• Experience as a leader and mentor on a data science team

Amazon is an equal opportunity employer and does not discriminate on protected status. If you need a workplace accommodation during the application or interview process, visit amazon.jobs for information.

Posted: January 15, 2025 • Updated recently

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