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Senior Data Scientist

Lisboa

Job description

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

• Advanced degree (Master's or PhD) in a quantitative field such as Computer Science, Statistics, Mathematics, or a related discipline

• Excellent English communication skills, with the ability to liaise effectively between technical and non-technical stakeholders.

• Minimum 7-10 years of hands-on experience as a data scientist or in a similar role, preferably in a multinational, fast-paced environment

• Proven expertise in machine learning, deep learning, and other advanced analytical techniques, with a strong understanding of their practical applications

• Proficiency in programming languages such as Python, R, or Scala, and experience working with big data technologies (e.g., Hadoop, Spark, Kafka)

• Excellent problem-solving, critical thinking, and communication skills, with the ability to translate complex data insights into actionable business recommendations

• Experience leading and mentoring data science teams, and a track record of driving impactful projects

• Strong business acumen and the ability to align data science initiatives with organizational goals

• Familiarity with data visualization tools (e.g., Tableau, Power BI, Qlik) and experience in presenting data-driven insights to stakeholders

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