As a Lead Data Specialist on the ML Data Ops team at Amazon, you will play a pivotal role in enhancing the customer search experience by delivering high-quality data annotation to improve AI/ML models. Your work will directly impact the efficiency and effectiveness of Amazon's search services, enabling more accurate product matching and customer satisfaction.

Key Responsibilities

1. Data Analysis. Conduct in-depth analyses to uncover patterns, root causes, and potential solutions using analytical tools.
2. Stakeholder Collaboration. Work closely with stakeholders to ensure data analysis aligns with business goals and drives strategic decisions.
3. Escalation Management. Analyze data to manage escalations, identifying trends and gaps to facilitate informed decision-making.
4. Process Improvement. Review and refine standard operating procedures (SOPs) to enhance operational efficiency and quality metrics.
5. Continuous Improvement. Lead initiatives for ongoing enhancements, documenting issues and recommending solutions within the data curation and annotation processes.
6. Leadership Support. Provide insights during business reviews and support strategic objectives at various leadership levels.
7. Training and Coaching. Mentor new hires, customize training modules, and ensure skill development within the team.
8. Quality Assurance. Perform meticulous quality checks on annotated data, maintaining high standards of accuracy and integrity.

Basic Qualifications

1. Education. Bachelor’s degree with 2+ years of relevant experience in a similar role.
2. Language Proficiency. Fluent in French (B2.2/BA/Advanced Diploma or equivalent).
3. Technical Skills. Intermediate proficiency in MS Excel.
4. Communication. Strong written and verbal communication skills.
5. Attention to Detail. Ability to manage multiple priorities effectively.

Preferred Qualifications

• Experience with SQL, Python scripting, and machine learning concepts.
• Familiarity with quality tools such as 5Ys, 7 QC, and F.M.E.A.
• Previous experience in e-commerce or online retail.
• Six Sigma Green Belt certification.

Why Join Amazon?

1. Innovative Environment. Work in a company that prioritizes innovation and customer satisfaction.
2. Professional Development. Opportunities for continuous learning and career advancement.
3. Inclusive Culture. Be part of a diverse team that values different perspectives and experiences.

How to Apply. If you are passionate about data, have strong leadership skills, and are eager to make a meaningful impact, we encourage you to apply. Join Amazon and help shape the future of online shopping!