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Data Solutions Lead, Data Collection Excellence

Amazon

Pisa

In loco

EUR 60.000 - 80.000

Tempo pieno

2 giorni fa
Candidati tra i primi

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Descrizione del lavoro

A technology services company seeks a Data Solutions Lead to drive ML/GenAI solutions for customer requests in Pisa, Italy. The candidate will document data collection needs, coordinate with teams, and manage relationships with customers to enhance data workflows. A background in ML operations and strong communication skills is essential. Preferred qualifications include a Bachelor's degree and familiarity with Python and JSON. Join a company committed to diversity and innovation.

Competenze

  • 2+ years of experience in ML data operations.
  • Ability to translate complex technical concepts into tactical applications.
  • Demonstrated experience in defining optimal data creation strategies.

Mansioni

  • Drive effective ML/GenAI solutions for customer requests.
  • Coordinate across teams to ensure seamless delivery.
  • Provide consultation on ML workflow capabilities.

Conoscenze

Customer communication and management skills
Data creation strategies
Technical consultation skills
Understanding of ML workflows

Formazione

Associate's degree or equivalent experience
Bachelor's degree in Business, Computer Science or related field

Strumenti

JSON
Command Line
Python
Descrizione del lavoro
Data Solutions Lead, Data Collection Excellence

Job ID: 3145891 | Evi Technologies Limited

Key Job Responsibilities
  • Drive and document effective ML/GenAI solutions for customer requests, transforming complex research objectives into clear, actionable data collection requirements.
  • Coordinate across teams to ensure seamless delivery and stakeholder alignment.
  • Own relationships with customer scientists, becoming their go-to partner for ML data solutions.
  • Provide consultation on ML workflow capabilities, helping customers maximize value.
  • Monitor and optimize collection health metrics to ensure customer success.
  • Drive customer adoption through providing technical value and exemplary customer experience.
You'll also:
  • Guide customers on workflow feasibility and data collection best practices.
  • Collaborate with implementation teams to define and validate technical requirements.
  • Evaluate scalability of annotation scenarios and provide strategic recommendations.
  • Influence technical documentation and guidelines.
Basic Qualifications
  • Demonstrated experience in effectively defining optimal data creation strategies and executing them.
  • Associate's degree or equivalent work experience.
  • 2+ years of experience in ML data operations, with a strong understanding of data annotation/ML workflows and concepts.
  • Outstanding customer communication and management skills, especially in technical consultation.
  • Ability to translate complex technical concepts into tactical applications.
Preferred Qualifications
  • Bachelor's degree in Business, Computer Science, or related field.
  • Working knowledge of JSON, Command Line, and Python.
  • Project management expertise.
  • Technical account management experience.
  • Background in customer success or solution consulting.

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates.

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.

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