Staff Data Scientist

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 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.

What You'll Do

What You'll Bring

What We Offer

Key Responsibilities

- 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.

Required Qualifications

- 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.

Preferred Qualifications

- 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.

What Your Day‑to‑Day Might Look Like

- Experimenting with various modeling techniques using GCP Vertex AI or AWS SageMaker.

- Analyzing model performance and implementing strategies to improve accuracy, robustness, and reliability.

- Designing and engineering new features based on exploratory data analysis.

- Identifying, evaluating, and adapting open‑source models to solve NLP and ML tasks.

- Partnering with engineers to optimize ML models for deployment and monitoring.

As a global leader in PR, marketing and social media management technology and intelligence, Cision helps brands and organizations to identify, connect and engage with customers and stakeholders to drive business results. PR Newswire , a network of over 1.1 billion influencers, in-depth monitoring, analytics and its Brandwatch and Falcon.io social media platforms headline a premier suite of solutions. Cision has offices in 24 countries throughout the Americas, EMEA and APAC. For more information about Cision's award‑winning solutions, including its next‑gen Cision Communications Cloud®, visitwww.cision.com and follow @Cision on Twitter.

Cision is committed to fostering an inclusive environment where all employees can be their authentic selves and perform at their best. We believe diversity, equity, and inclusion is vital to driving our culture, sparking innovation and achieving long‑term success. Cision is proud to have joined more than 600 companies in signing the CEO Action for Diversity & Inclusion™ pledge and named a “Top Diversity Employer” for 2021 by DiversityJobs.com.

Cision is proud to be an equal opportunity employer, seeking to create a welcoming and diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or other protected statuses.

Cision is committed to the full inclusion of all qualified individuals. In keeping with our commitment, Cision will take the steps to assure that people with disabilities are provided reasonable accommodations. Accordingly, if reasonable accommodation is required to fully participate in the job application or interview process, to perform the essential functions of the position, and/or to receive all other benefits and privileges of employment, please contact hr.support@cision.com

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