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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