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Solarwinds Inc. Technical Lead Data Scientist in Edinburgh, United Kingdom


SolarWinds is the leading global provider of complete IT management and Automation solutions for Managed Service Providers (MSPs). Our award-winning product suite includes the industry’s #1 RMM Service Automation Platform and has a proven track record of helping MSPs standardise and automate the setup and delivery of IT services in order to achieve true scalability.

Solarwinds MSP is the leader of empowering MSPs with data. We are constantly pushing the envelope with regard to how data is ingested, stored and used in product. The Data Science team is chartered to seed and influence product improvements based on value in data, and as such, is a key stakeholder in all aspects of the data lifecycle.

As a Technical Lead Data Scientist in this team you will have a healthy appetite for continuous learning in areas such as machine learning, data visualisation and the latest Data Science trends. You will be working closely with other Data Scientists to improve the MSP set of products with data-driven features that measurably improve the effectiveness and efficiency of the company, our customers and our customers’ customers.


  • Lead strands of Data Science work and/or multiple projects that discover opportunities for new data-driven features, and influence product and technology strategies for the MSP product.

  • Create rapid prototypes of data analytics features and work closely with engineering to convert these into high-quality reusable services to be used in the product.

  • Communicate research results effectively in written and spoken forms to various audiences including product management, engineering, executives, and customers.

  • Keep abreast of emerging technologies and best practices and share this knowledge within the team, within the company and externally.

  • Promote self-service data analysis and understanding by sharing knowledge using internal presentations and publications.

  • Supervise, mentor and grow members other members of the team.


  • Extensive working experience in relevant technical fields (or equivalent).

  • Experience and understanding of the typical methodologies in Data Science (e.g. statistics, machine learning, deep learning, …).

  • Experience and understanding of the typical tooling in Data Science (e.g. core: R/Python; data querying: SQL, Spark; data presentation: ggplot/seaborn, knitr/jupyter, Shiny/Dash; deep learning frameworks: e.g. PyTorch).

  • An awareness and interest in the typical challenges in Data Engineering (distributed systems, data stores and pipelines, …).

  • A demonstrable research mindset.

  • Passion for exploring emerging methodologies and technology stacks.

  • Strong communication skills with the ability to present complex ideas in a compelling way to technical and non-technical audiences (in both written and verbal form).

  • Willing to learn and meet business needs through 80:20 thinking (when appropriate) and defining the scope of typical activities such as discovery or MVPs.

  • Independent, self-organizing, and able to prioritize multiple complex assignments.

  • Understanding of best practices in data handling, security and privacy.

  • A solid “can do” attitude that enables you to confidently work across departments when appropriate, e.g. sometimes product management, user experience, engineering.

Extra Credit:

  • Relevant experience in related fields, e.g. software engineering, statistics, computer science, scientific research, … .

  • Practical experience in delivering data-driven applications/APIs at scale, particularly with streaming data.

  • Practical experience dealing with big data challenges in any of the three Vs: volume, velocity, variety.

  • Experience with any of Linux, Git, Docker, Kubernetes, AWS or Kafka.

  • Experience of presentations or publications on technical topics.

  • Ability, and enjoyment, to sometimes dip into multiple roles.

What is in it for you:

We offer great compensation packages, the opportunity to solve challenging problems with skilled colleagues but also a team committed to work/life balance with fewer meetings.



Location UK-Edinburgh

SolarWinds is an Equal Employment Opportunity Employer. SolarWinds will consider all qualified applicants for employment without regard to race, color, religion, sex, age, national origin, sexual orientation, gender identity, marital status, disability, veteran status or any other characteristic protected by law.

Job ID 2019-13663

# Positions 1

Category (Candidate Search) Engineering

Position Type Regular

Business Group MSP

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