Product Owner Data Specialist

il y a 3 semaines

Paris, Île-de-France Enytics Temps plein
Product Owner Data Job Description

We are seeking a highly skilled data scientist to lead exciting cloud-based data projects for our partners. As a Product Owner Data, you will leverage your expertise in big data, analytics, and cloud platforms to design, build, and deploy data-driven solutions that unlock valuable insights and drive business growth for our customers.

Roles and Responsibilities
  • Lead and execute data projects across various areas, including reporting, business intelligence, data management, big data, and analytics, utilizing cloud platforms for project implementation.
  • Participate in all phases of the project lifecycle: design, conception, and deployment.
  • Collaborate with partner customers to understand their business needs and translate them into technical requirements for data projects.
  • Leverage your data science expertise to develop and implement data-driven solutions, including tasks such as data collection and ingestion, data cleaning and transformation, exploratory data analysis, building and deploying statistical models and machine learning algorithms, and data visualization.
  • Continuously monitor and improve the performance of data projects to ensure they meet business objectives.
  • Document project activities and findings clearly and concisely.
Skills and Experience
  • Fluent French (Imperative)
  • Professional English (Secondary)
  • At least 3 years' experience in a similar role
  • Graduated from an engineering school or high-level IT training, with a hybrid profile between business understanding and data science mastery
  • Ability to translate customer needs into product uses and functionalities
  • Mastery of Big Data issues
  • Ability to understand the principles and practices of data analysis and the latest advances in Machine Learning to identify potential product applications
  • Understanding of data architecture around data (Data Lake, Data-Hub, Data-Lab, Data Warehouse, Pipeline)
  • Knowledge of various market solutions (Cloud, Data Governance, Data virtualization, ETL, etc.)
  • Ability to understand the different roles within the Data team (Data Analyst, Data Scientist, Data Engineer, etc.)
  • End-to-end vision of data processing
  • Knowledge of data modeling fundamentals, BI/data culture
Remuneration and Benefits
  • Remuneration dependent on experience
  • Employee benefits and insurance
  • Access to training, expertise, and development community
  • Career progression opportunities

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