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Senior Data Scientist

Amadora

Descrição da posição

The person acting as a Senior Data Scientist, you will play a pivotal role in transforming raw data into actionable insights that drive strategic business decisions. The service will work closely with cross-functional teams, including business stakeholders, data engineers, and subject matter experts, to identify and solve complex problems using advanced analytics techniques.

Key Tasks / Responsibilities of the service

• Develop and implement sophisticated machine learning models and algorithms to extract valuable insights from large, diverse data sets

• Collaborate with business leaders to understand their data and analytics needs, and translate them into effective data science solutions

• Mentor and guide junior data scientists, providing technical guidance and career development support

• Stay up-to-date with the latest trends and advancements in data science, machine learning, and artificial intelligence, and recommend innovative approaches to enhance the company's analytical capabilities

• Communicate complex technical concepts to non-technical stakeholders, presenting findings and recommendations in a clear, compelling manner

• Ensure data integrity, model accuracy, and overall quality of data science deliverables

• Contribute to the development and enhancement of the company's data science infrastructure and tools

Requirements

Mid-Level - Data Visualization tools - Qlik Sense / Qlik View / PowerBI / Tableau
Senior Level - Strong understanding of design principles and ability to translate requirements into technical specifications
Minimum 5 years of of hands-on experience as a data scientist or in a similar role, preferably in multinational, fast-paced environment
Experience leading and mentoring data science teams
Senior Level - Programming languages such as Python, R, or Scala, and experience working with big data technologies (e.g., Hadoop, Spark, Kafka)
Senior Level - Strong self management and problem-solving skills
Mid-Level - Knowledge of data management (ETL) and Snowflake is preferred
Mid-Level - Practical experience with agile methodologies
Senior Level - Excellent communication and teamwork skills
Senior Level - Fluency in English is mandatory

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