Overview
Business Data Science can unlock transformative potential in every part of our business. We aim to empower people and systems to make smarter, faster, and more meaningful decisions—so we cannot just adapt to the future but shape it. At SolarWinds, we apply AI and machine learning as tools for solving real business challenges, operating with integrity, transparency, and accountability in how data is used, and models are deployed. By collaborating cross-functionally, we ensure our technology serves people first, not the other way around. We’re building a high-performing AI & ML team that develops intelligent systems to optimize operations and uncover actionable insights that drive strategic decisions. Our culture is rooted in intelligent transformation—where innovation is propelled by the purposeful use of data and technology, elevating how our business thinks, operates, and serves.
As a Data Scientist at SolarWinds, you will join a collaborative, innovative team driving business transformation through data. You’ll influence decisions by primarily delivering insights with machine learning, intelligence, and secondarily delivering generative AI solutions, participating in both independent analysis and team-driven projects. The role involves identifying opportunities, building and deploying models, performing thorough analyses, and communicating findings to stakeholders across the organization. You’ll apply advanced analytics—regression, clustering, deep learning, NLP—and support solutions like Azure-hosted RAG LLMs, agents and other continuously developing AI tasks. Success in this position means operating with curiosity and continual learning, both independently and within cross-functional teams. At SolarWinds, your impact will span model creation, deployment, monitoring, and support for data-driven strategies in a fast-paced, people-first environment.
Responsibilities
* Focus on carrying out the complete life cycle of data science projects, including identifying, training, and deploying models to achieve business objectives.
* Perform detailed analysis to thoroughly understand data and identify key trends and conclusions. Provide analytic insights focused on organizational operations.
* Apply advanced statistical modeling techniques to business outcomes, such as regression, time series, longitudinal and categorical analysis, survival analysis, clustering, segmentation, neural networks, deep learning, embedding, vector similarity and natural language processing
* Conduct data wrangling and preprocessing across diverse sources—structured, semi-structured, and unstructured—to prepare data for analysis and modeling.
* Perform detailed analysis to uncover key trends, inform decision-making, and deliver insights focused on organizational operations.
* Implement and maintain ML pipelines using MLops frameworks and model lifecycle management
* Monitor deployed models over time through statistical evaluation and assessed business effectiveness using model results and their influence on KPIs.
* Function within a data science team and adhere to established processes. Collaborate with data science, business intelligence, development, engineering, data governance, and other relevant functional areas.
* Collaborate with stakeholders to translate business needs into impactful, data-driven solutions. Engage regularly with stakeholders to evaluate project outcomes and cultivate relationships for new analytic opportunities.
* Communicate across multiple channels to access data, identify important data features, and work with developers to build data structures.
* Answer data-related questions independently with minimal supervision.
* Present AI and data science projects in clear, actionable terms to technical and non-technical audiences.
* Additionally support the development and maintenance of a Retrieval-Augmented Generation (RAG) LLM application hosted on Azure. Integrate generative AI capabilities into internal tools, products, or employee-facing applications
* Assist with prompt engineering and model fine-tuning, tailoring solutions to specific domains and dynamic business requirements. Evaluate LLM outputs for accuracy, relevance, bias, and business alignment, iteratively refining systems to ensure quality and reliability
* Ability to keep up with trending AI functionality and apply it to adding value to the business in bespoke solutions
Qualifications
Must have:
* 3+ years in data science, artificial intelligence or business intelligence within a collaborative environment.
* Proficiency with Python, SQL, ML/AI frameworks (such as TensorFlow, PyTorch, Scikit-learn, MLFlow), with an emphasis on data manipulation, API integration, and machine learning workflows. Azure experience is preferred, including container apps, search indexes, and OpenAI.
* Strong analytical drive, results-oriented, and intellectually curious with a focus on business impact.
* Solid knowledge of data science methodologies (regression, time series, longitudinal and categorical analysis, survival analysis, clustering, segmentation, neural networks, deep learning, NLP).
* Experienced in applying statistical concepts and methodologies while avoiding common pitfalls.
* Excellent communication skills, able to present insights clearly to both technical and non-technical stakeholders.
* Comfortable with version control, branching strategies, and collaborative workflows using Git
* Problem-solver in fast-paced, dynamic settings.
* Data Curious. Eager to explore data and outcomes.
Nice to have:
* Outstanding project, organizational, and time management skills; adept at prioritizing complex assignments.
* Able to build, run, and debug Docker containers, familiarity with container orchestration basics
* Experience with CI/CD pipelines, RAG architectures, chatbots, front end skills (HTML/CSS/JS) a plus
* Experience in Tableau a plus
* Experience in Google Big Query or Databricks a plus
* Bachelor’s in statistics, data science, computer science, or related field; postgraduate degree is a plus.
Our benefits
* 20 days which increases with tenure
* 1-3 sick days per year
* 2 volunteering days per year
* 4 weeks’ holidays after 5-year tenure, Sabbatical Leave
* Up to € 3,200 per year personal education budget per year
* Gym access free on-site gym access 24 hours a day
* Unlimited access to LinkedIn Learning
* Solarian Referral Program
* SolarWinds Appreciation Program
* Giving – Donation Matching
* Employee Assistance
* Competitive Race Reimbursement
* and others
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.
All applications are treated in accordance with the SolarWinds Privacy Notice: https://www.solarwinds.com/applicant-privacy-notice
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