Senior Data Scientist (Lisbon)
Capgemini
- Lisboa
- Permanente
- Horário completo
- Leadership and mentorship to teams of data scientists and analysts, guiding them to success on intricate data science initiatives.
- Defining the strategic direction for data science projects, ensuring alignment with business goals and objectives.
- Conducting advanced analysis of complex datasets to derive profound insights, forecast trends, and pinpoint opportunities for improvement.
- Designing, implementing, and evaluating advanced statistical models and machine learning algorithms to address high-impact business challenges.
- Lead the integration of big data technologies and advanced analytics solutions into business processes, driving innovation in methodologies and practices.
- Establishing best practices for data management, quality, and governance to ensure the integrity and reliability of data science outputs.
- Effectively communicating complex analytical concepts and the value of data science initiatives to stakeholders at all levels, including executive leadership.
- Advocating for a culture of data-driven decision-making and continuous learning within the organization.
- 7 or more years of experience in data science and analytics, with a proven track record of leading successful data science projects.
- Proficiency of programming languages, including Python and SQL, along with advanced libraries and frameworks like TensorFlow or Pytorch.
- Possess a deep understanding of statistical analysis, machine learning, predictive modeling, and advanced algorithmic problem-solving.
- Showcase extensive experience in data visualization and interpretation, translating complex results into actionable insights.
- Exhibit leadership experience with the ability to inspire, guide, and mentor team members to achieve exceptional results.
- Possess technical domain knowledge in cloud computing platforms (AWS, Azure, GCP) or big data technologies (Spark).
- Have exceptional communication and collaboration skills, with fluency in English and the ability to articulate technical concepts to non-technical audiences.