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.

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 inf inerence 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.

We are growing our Product Design team and are looking for someone with flair, passion and grace to join us on our quest to build amazing SaaS products which push the boundaries of convention and make our customers sing out loud with delight.

Unwavering user advocacy paired with excellent collaboration and communication skills are key to succeeding in this role. You’ll be working directly within a cross-functional team of talented Product Managers, Marketers, Data Scientists and Developers to deliver consistently brilliant and delightful product experiences. You’ll also have weekly direct contact with customers to understand their requirements, evaluate customer research and translate those findings into exciting opportunities.

If you are a talented Product designer who is motivated by any of the above and wants to work in a collaborative design team where your ideas count and can tangibly make a difference, then this could be the perfect role for you.

About the team you’ll be joining
You’ll join one of our product teams focused on the Social Media Management solution, taking on the design role alongside a product manager and engineers—together forming a tightly aligned product trio.

You must:
Have at least 2 years aggregated commercial experience working as a Product Designer on digital products (web apps/SaaS)
Present a portfolio during your interview that demonstrates excellence in your craft and shows us your process of translating outcomes into outputs
Be able to design and deliver consistently brilliant and delightful product experiences within a cross-functional team
Be able to distil and translate complex requirements into modern, accessible and inviting experiences
Have experience in planning and conducting user research (generative and evaluative) and translating those findings into design opportunities
Document and communicate your work efficiently and effectively to a variety of stakeholders and colleagues
Have strong visual design skills and be conversant about what good looks like
Know how to work with established design systems / pattern libraries
Excellent asynchronous work skills and flexibility are crucial due to the nature of distributed teams

You might:
Have a passion for data visualisation
Have designed and tested information dashboards before
Have experience designing for mobile contexts

Contract details:
This is a contractor role.
Contractors are expected to submit invoices for services rendered on a monthly basis in accordance with company invoicing procedures.

What You’ll Do 

• Design and develop internal software tools, services, and frameworks that improve the developer experience (e.g. custom CLI tools, development environment enhancements, test automation frameworks).
• Work with engineering teams to gather requirements and feedback for developer tools, then iterate on solutions to ensure they address real-world needs.
• Improve and maintain our CI/CD pipeline code and infrastructure, ensuring build and deployment processes are efficient, reliable, and scalable.
• Contribute to the architecture of our developer platform by evaluating new technologies and integrating open-source solutions to enhance productivity.
• Mentor and guide other software engineers in using DevX tools and adopting best practices for efficient software delivery.
• Ensure all DevX solutions are well-documented, maintainable, and secure; actively participate in code reviews and design discussions to uphold high standards.
• Partner with engineering teams to define and enforce AI standards within the developer ecosystem, ensuring consistent, scalable, and secure adoption of AI-driven solutions. 

Essential Skills & Experience 

• 5+ years' experience in Software Engineering or DevOps roles, with a focus on building developer tooling or platforms.
• Programming skills in one or more languages (such as Python, Java, Go, or C#), with the ability to write clean, maintainable code for internal tools and services.
• Experience designing and implementing CI/CD pipelines and build/release processes, including familiarity with tools like Jenkins, GitLab CI, or GitHub Actions.
• Solid understanding of software development best practices (version control, code reviews, automated testing) and experience integrating these into automated workflows.
• Proficiency with containerization and cloud infrastructure (Docker, Kubernetes, AWS/GCP/OCI) to support on-demand development and testing environments.
• Strong problem-solving skills and the ability to quickly learn and adapt to new technologies and frameworks that improve developer productivity.
• Excellent communication skills and a collaborative approach, with experience mentoring engineers or leading technical projects to successful outcomes. 

Preferred (Not Essential) 

• Contributions to open-source developer tools or active involvement in the developer community.
• Experience with developer experience platforms or tools (e.g. Backstage) is a plus. 

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.

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 inf inerence 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.

You will collaborate closely with product, design, technology, and data science teams, you will be part of the backend platform team to build new backend services, processes, and components and improve existing ones.

You will take a lead role in reviewing code changes within your team and provide thoughtful feedback to drive quality and best practices. You will actively evaluate technologies for applications and make recommendations aligned with team and product needs.

You’ll mentor engineers at various levels, sharing your knowledge of code maintainability, performance, reliability, observability, security, and functionality. With a strong understanding of the tech stack and SSDLC, you’ll contribute significantly to project success and team productivity. You may serve as a subject matter expert (SME) within the engineering organization, providing insights to cross-functional teams.

Essential Duties and Responsibilities include the following:

• Develop and own solutions that add value across systems while balancing technical debt.
• Collaborate closely with engineers, product owners, and other stakeholders to align on optimal solutions that meet product goals.
• Lead in fostering a Test First mentality and emphasize quality at the code level.
• Help translate complex product requirements into clear, actionable technical tasks.
• Stay informed about technology trends and product roadmaps, providing strategic guidance to the development team.
• Actively support cross-functional business processes, facilitating collaboration and communication.
• Work with other senior-level stakeholders to ensure adherence to best practices, cross-team synergy, and consistency in processes.
• Mentor and support mid-level and junior engineers as they progress in their technical skills and knowledge.
• Contribute to a culture of collaboration, building strong relationships based on mutual respect and shared goals.

Experience you will have:

• C#
• .NET 8+
• SQL
• Git
• Unit Testing
• RESTful web services
• Messaging & queuing
• Docker
• Microservice Data Architecture

Preferred Experience:

• MySQL
• Postgres
• Kubernetes
• GraphQL
• Data processing/ETL
• Dapr
• Google Cloud Platform (GCP)

Education and/or Experience:

• Bachelor’s degree in Computer Science related subject area or related business field and eight (8) or more year’s experience in Information Technology and solution delivery, or equivalent combination of education and experience in similar fields is required.

What you’ll do

• Lead the design, implementation, and ongoing improvement of reliable, scalable, performant, and secure production platforms and services.
• Work closely with cross-functional teams to build and maintain resilient infrastructure and deployment patterns.
• Provide technical leadership and mentorship to engineers across the organisation, promoting strong engineering standards and operational best practice.
• Participate in a 24x7 on-call rotation to support critical services and ensure platform availability.
• Drive standardisation, automation, and documentation to improve consistency, reduce operational overhead, and support knowledge sharing.
• Contribute across the full lifecycle of platform and service delivery, from design and build through to operation and optimisation.

Essential skills and experience

• 5+ years of experience in DevOps, SRE, platform engineering, or software engineering roles.
• Strong Kubernetes experience at scale, with deep understanding of containers and container orchestration.
• Hands-on experience with infrastructure as code tools such as Terraform, Ansible, or Puppet.
• Strong programming skills in at least one object-oriented language, along with effective scripting and automation capability.
• Strong understanding of security principles and best practices across infrastructure, platforms, and services.
• Significant hands-on experience in at least one major cloud platform, with broad exposure across AWS, GCP, or OCI.
• Strong monitoring, alerting, and observability experience using tools such as Prometheus, Grafana, or similar platforms.
• Solid understanding of networking fundamentals and distributed systems.
• Strong Linux and/or Windows systems administration experience.
• Experience with software delivery automation, CI/CD pipelines, and secure SDLC practices, including exposure to static and dynamic security testing.
• Good understanding of SRE concepts such as SLIs, SLOs, SLAs, toil reduction, availability, and observability.
• Experience managing and scaling Elasticsearch in production is strongly preferred.

Preferred skills

• Kafka
• MySQL and/or PostgreSQL
• Redis
• Networking

About the Role

We’re looking for a Lead DevOps Engineer (Observability & Developer Experience) to take ownership of two key areas within our engineering operations. You’ll work closely with the engineering teams responsible for our observability platform and developer tools, helping to ensure our systems are reliable and our developers are empowered with efficient workflows. In this role, you’ll shape the technical direction for monitoring, logging, CI/CD, and automation initiatives across the organization, while staying hands-on with engineering work. You’ll also collaborate with teams across the company to drive continuous improvement and innovation.

What You’ll Do

• Lead and contribute to a team of DevOps/SRE engineers focused on Observability (monitoring, logging, alerting) and Developer Experience (CI/CD pipelines, internal developer tools).
• Help define the roadmap and vision for observability and developer productivity, aligning with business and engineering needs.
• Design, implement, and operate monitoring and logging infrastructure, ensuring robust visibility into system health and performance.
• Build and maintain CI/CD pipelines and automation frameworks that enable fast, safe deployments and improve developer workflows.
• Collaborate with other engineering and product teams to drive cross-functional initiatives and ensure reliability and efficiency are embedded into our services.
• Establish and share best practices for infrastructure management, incident response, and post-mortems.
• Contribute to defining and implementing AI tooling and standards across the company, ensuring developers have access to scalable and secure AI platforms.

What You’ll Bring

• 5+ years of experience in DevOps, SRE, or Infrastructure Engineering, including some experience leading or mentoring other engineers.
• Hands-on expertise in observability practices and tools (e.g., Prometheus, Grafana, ELK stack) and familiarity with SRE principles.
• Experience with CI/CD pipelines and automation tools (e.g., Jenkins, GitLab CI) and Infrastructure as Code practices.
• Knowledge of cloud platforms (AWS and/or GCP) and container orchestration (Kubernetes), and experience building scalable systems.
• Strong collaboration and communication skills, with experience working across teams (development, QA, product).
• Passion for automation, reliability, and developer efficiency, with a mindset of continuous improvement.

Preferred (Not Essential)

• Experience leading DevOps/SRE transformations or implementing reliability engineering practices at scale.
• Previous software engineering experience.

Why Join Us?
This role is perfect for someone who wants to stay hands-on technically while also mentoring and influencing a team. You’ll have a direct impact on the reliability and efficiency of our engineering systems and help shape the way our developers work every day.