About the Role: CrowdStrike is looking for an Applied Scientist II to join our growing team. As an applied scientist, you will contribute to the research, development, and deployment of machine learning models that power cost attribution and cloud efficiency at CrowdStrike. The candidate will play a role lding and evaluating models, and working closely with engineering teams to bring models into production. If you are interested in working on a high-performing team applying machine learning to real-world cost optimization and financial accountability problems, this is the job for you!Be an energetic self-starter with the ability to take ownership and be accountable for deliverables, both individually and as part of a teamCollaboratively brainstorm, define, and build machine learning solutions to accurately attribute cloud costs and resource consumption to the teams and products driving themWork with internal business partners and senior scientists to analyze requirements and translate them into well-scoped modeling problems related to cost allocation, forecasting, and anomaly detectionDesign, run, and evaluate experiments to validate model accuracy ducts, and business unitsContribute to raising the technical IQ of the team by staying curious and sharing new techniques and research with othersPartner with engineering teams to help productionize models and monitor their performance and accuracy over timeReport regularly on the status of assigned projectsWhat You’ll Do:U.S. citizenship or Green Card/permanent resident statusExcellent written and verbal communication skillsExperience developing, training, and evaluating machine learning models (e.g., classification, clustering, anomaly detection, or regression) applied to structured business or financial dataProficiency in Python and common ML libraries/frameworks (e.g., PyTorch, TensorFlow, scikit-learn)Experience working with large-scale datasets and distributed data processing tools (e.g., Spark, Pandas at scale)Solid understanding of statistics, probability, and experimental designFamiliarity with feature engineering and model evaluation techniques (e.g., precision/recall, RMSE, cross-validation)Familiarity with SQL and querying data from relational databasesEagerness to learn from and collaborate with senior scientists and engineersDemonstrate a passion for learning new techniques, tools, and researchSolid attention to detail and the ability to make good, timely decisionsExperience writing clean, well-tested, and reproducible codeStrong focus on data accuracy and integrity when working with financial and cost datasetsMust work effectively and professionally with cross-functional groups as part of a worldwide teamWhat You’ll Need:Experience working with cloud cost/billing data (e.g., AWS Cost Explorer, GCP Billing, Azure Cost Management) or FinOps practicesUnderstanding of MLOps concepts and tools (e.g., model versioning, monitoring, CI/CD for ML)Exposure to big data / streaming platforms (e.g., Kafka, Spark Streaming)Familiarity with cloud platforms (AWS, GCP, Azure) for training and deploying modelsExperience with resource tagging, cost allocation frameworks, or chargeback/showback systemsExposure to time-series forecasting techniques for cost or usage predictionExperience publishing research or contributing to open-source ML projectsProven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes.Benefits of Working at CrowdStrike:Market leader in compensation and equity awardsComprehensive physical and mental wellness programsCompetitive vacation and holidays for rechargePaid parental and adoption leavesProfessional development opportunities for all employees regardless of level or roleEmployee Networks, geographic neighborhood groups, and volunteer opportunities to build connectionsVibrant office culture with world class amenitiesGreat Place to Work Certified™ across the globeCrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program.
4 days ago