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Staff Data Scientist

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Brandwatch

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Location:
Portugal , Coimbra

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

At Cision, we believe in empowering every individual to make an impact. Here, your voice is heard, your ideas are valued, and your unique perspective fuels our collective success. As part of our global team, you'll thrive in an environment that champions curiosity, collaboration, and innovation, all while making meaningful contributions to the brands we accelerate. Join us in shaping the future of communication and building authentic connections that matter. Whether you're solving complex problems or driving bold innovations, your growth is our success, and together, we’ll create the conversations of tomorrow. Empower your impact at Cision. Be seen, be understood, be you. Cision has one of the largest media and content databases on Earth. Our data science team works on building intelligent and high-impact features driven by machine learning and NLP. As a Staff Data Scientist, you will be part of our Machine Learning and Data Science team that build and deploy machine learning models used directly in our products. You will work on complex, high-visibility problems and collaborate closely with engineering, product, and analytics teams to turn prototypes into production-grade solutions. This role is ideal for someone who operates with strong ownership, delivers high-quality work at pace, and acts as a subject-matter expert on key ML components or services.

Job Responsibility:

  • Develop and deliver complex machine learning and NLP solutions end-to-end
  • Analyze large datasets to uncover insights, design features, and guide modeling decisions
  • Build, test, and deploy ML models into production systems in partnership with engineering teams
  • Work independently to create tools, frameworks, and reusable components that accelerate model development
  • Collaborate cross-functionally with product managers, engineers, and analysts to translate prototypes into production-grade models and services
  • Demonstrate sound judgment around risk, workload management, prioritization, and escalation
  • Act as a go-to SME for your domain and contribute significantly to team commitments and delivery

Requirements:

  • 8+ years of professional experience in a software or ML engineering environment
  • 5+ years applying advanced statistical or machine learning techniques to real-world business problems
  • Advanced degree in a quantitative field (e.g., Statistics, Mathematics, Economics, Computer Science, Machine Learning) or equivalent practical experience
  • Proven track record of delivering ML solutions used in production
  • Strong proficiency with Python and ML-focused libraries such as Pandas, NumPy, scikit-learn, TensorFlow, or PyTorch
  • Hands-on experience with cloud-based ML workflows in GCP and/or AWS (Kubernetes, Nvidia Triton, Vertex AI, Sagemaker, and similar tools)
  • Proficiency with database query languages (QL) and experience working with large-scale datasets
  • Ability to clearly communicate complex technical concepts to non-technical audiences
  • Strong sense of ownership, accountability, and commitment to quality

Nice to have:

  • Experience with modern NLP techniques and pretrained model ecosystems
  • Experience building scalable data pipelines or model-serving architectures
  • Familiarity with MLOps concepts and practices
  • Experience in building production-quality and scalable inference systems with Python, Java, or general-purpose languages

Additional Information:

Job Posted:
January 03, 2026

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