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Full-Time

Senior Data Scientist

Confirmed live in the last 24 hours

LogicMonitor

LogicMonitor

1,001-5,000 employees

Cloud-based IT infrastructure monitoring platform

AI & Machine Learning
Enterprise Software

Senior

London, UK

Category
Data Science
Data & Analytics
Required Skills
Python
Data Structures & Algorithms
Requirements
  • + 3-5 years expertise and applied experience in developing and executing machine learning experiments based on a product or business problem
  • Good programming skills in Python (and/or another coding language) and be able to write clean, maintainable code.
  • Some practical experience with using Generative AI technologies and passionate to explore its potential for improving AIOPS.
  • Be curious and enjoy problem solving both on your own and within a small team
  • Be proactive in diving into the vast amounts of data we have and contribute your ideas within the support of the AIOPS team
  • Practical experience of preparing data for machine learning
  • Excellent written and oral communication skills to be able to present your experiment findings to both the AIOPS team and the wider company
  • Experience of working with engineering teams to scale prototypes to production quality implementation
  • Batchelor's degree in a numeric discipline (e.g. statistics, machine learning, computer science)
Responsibilities
  • Develop a deep understanding of the AIOPS (is AIOps still what we are calling ourselves?) problem domain and desired customer outcomes
  • Analyse and measure the effectiveness of current techniques for AIOPS
  • Identify opportunities to improve customer outcomes through leveraging new approaches and algorithms
  • Provide innovative solutions to AIOPS problems, and plan, execute and deliver high quality prototypes to solve these problems
  • Be an active member within the ML Engineering team to develop and scale prototypes to production quality implementation

LogicMonitor operates at the forefront of cloud-based infrastructure monitoring, incorporating AIOps and a suite of automation tools to simplify and optimize IT operations. With an impressive arsenal of over 2,000 integrations, the company facilitates seamless transitions and innovation for businesses of varying scales and complexities. This approach not only positions the company as a leader in IT operations efficiency but also creates a dynamic and resourceful working environment that fosters professional growth and technological advancement.

Company Stage

Series A

Total Funding

$142.9M

Headquarters

Santa Barbara, California

Founded

2007

Growth & Insights
Headcount

6 month growth

0%

1 year growth

-2%

2 year growth

19%
Simplify Jobs

Simplify's Take

What believers are saying

  • The introduction of AI-driven tools like Edwin AI and LM Co-Pilot can significantly reduce incident response times and alert fatigue, enhancing operational efficiency.
  • The LM Cost Optimization tool can help businesses manage and reduce cloud spending, which is crucial in a down economy, providing a competitive edge.
  • The appointment of experienced leaders like Brooke Cunningham and Karthik Sj can drive strategic growth and innovation, further solidifying LogicMonitor's market position.

What critics are saying

  • The rapid integration of multiple AI tools may lead to complexity and potential usability issues for end-users.
  • The competitive landscape in observability and IT operations is intense, with major players like Splunk and Datadog posing significant threats.

What makes LogicMonitor unique

  • LogicMonitor's integration of generative AI into its observability tools, such as Edwin AI and LM Co-Pilot, sets it apart by offering advanced, interactive experiences for IT operations teams.
  • The LM Cost Optimization tool provides a unique value proposition by combining cost management with hybrid observability, addressing both cloud and on-premises infrastructure.
  • The company's focus on hybrid observability, powered by AI, allows it to cater to complex multi-cloud environments, distinguishing it from competitors who may focus solely on cloud or on-premises solutions.