Data Science Platform Engineer

Job not on LinkedIn

🕒 January 7

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Cision

1001 - 5000 employees

Founded 2000

🤝 B2B

📱 Media

B2B • Media • Marketing

Cision is a global leader in media intelligence, offering a comprehensive suite of communications and PR solutions. The company's platform, CisionOne, provides media monitoring, analytics, and relationship management services to help clients understand, influence, and amplify their stories. Cision assists its customers in identifying and connecting with journalists and influencers, distributing meaningful public relations and marketing communications, and measuring their impact. With a range of brands including Brandwatch and PR Newswire, Cision supports PR and corporate communications, brand reputation management, social media insights, and investor relations.

📋 Description

• Develop and enhance the machine learning platform to manage the full model life cycle • Build frameworks and tools to enable the data science team developing and enhancing predictive model support scalable real-time predictions in production • Design and implement data engineering solutions for model training • Expand NLP capabilities with advanced analysis techniques to improve text understanding • Design and implement high-performance, scalable services and applications • Collaborate with team members to create integrated solutions and ensure timely delivery of quality software and documentation • Understand and adhere to development standards for consistency across teams • Perform in-depth technical and performance analyses to troubleshoot production issues • Monitor and maintain production systems for reliability and efficiency

🎯 Requirements

• Bachelor’s degree in Computer Science or related area • 3+ years of professional experience writing Python or Java code • Intermediate proficiency with SQL • Experience with CI/CD and automated testing • Comfort working in a Linux environment • Passion for exploring, applying and following the evolution of cutting edge technologies related to AI, machine learning, NLP and large scale data processing • Professional experience with Docker, Kubernetes, relational databases (PostgreSQL preferred), REST API design, and microservices application architectures • Experience with public cloud solutions, such as AWS or GCP • Team player DNA with a positive, self-starter attitude • Attention to detail, highly organized, with an absolute focus on quality of work

🏖️ Benefits

• Competitive total rewards (base salary + bonus, if applicable) • Customizable benefits package (3 medical plans with Health Saving Account company match) • Generous paid time off for non-exempt team members, starting with 3 weeks + 13 paid holidays • Flexible time off for exempt team members + 13 paid holidays • Paid parental leave (including maternity + paternity leave) • Education assistance opportunities and free LinkedIn Learning access • Free mental health and family planning programs, including adoption assistance and fertility support • 401(K) program with company match • Pet insurance • Employee resource groups

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