Applied Scientist, Customer FinOps Intelligence
Employment Information
Report this job
Job expired or something wrong with this job?
Job Description
Applied Scientist on Customer FinOps Intelligence team at Snowflake analyzing customer data to improve platform usage and retention. Building models and insights for smarter feature adoption and economics.
Responsibilities:
- Develop and maintain peer benchmarking models using platform usage signals to produce unit economic metrics:
- Credits per 1,000 jobs.
- Credits per TB scanned.
- Workload mix (% spend on Data Engineering, BI, Data Science, ELT, etc.).
- Cost efficiency percentiles (p25 / p50 / p75 / p90) by industry and customer segment.
- Construct peer groups using unsupervised ML techniques (clustering, dimensionality reduction) on account-level feature vectors — combining industry vertical, usage fingerprint, and size normalization into meaningful comparable cohorts.
- Engineer a benchmarking feature store from large-scale platform usage datasets using Snowpark and dbt, covering compute, storage, and workload dimensions at account and industry level.
- Apply statistical rigor to handle skewed distributions, outlier accounts, and temporal variation in usage patterns across a highly diverse customer base.
- Package benchmarking outputs into repeatable advisory assets — cost optimization playbooks, benchmarking dashboards, and narrative summaries — that can be consumed by field teams and scaled across the customer base.
- Partner with Account Executives, Solution Engineers, and Customer Success Managers to embed FinOps benchmarking into the customer lifecycle — translating analytical outputs into field-ready narratives and customer conversations.
- Collaborate cross-functionally with Product, FinOps, and Sales Strategy to ensure advisory insights feed back into product priorities and field positioning.
Requirements:
- MS or PhD in Statistics, Applied Mathematics, Econometrics, Computer Science, or a quantitative field
- 5+ years of hands-on experience in applied data science, quantitative research, or value engineering — ideally at a cloud platform, enterprise SaaS, or management consulting firm
- Expert-level SQL — comfortable with complex multi-join queries across billions of rows of operational metadata
- Strong proficiency in Python (pandas/polars, scikit-learn, statsmodels) for statistical modeling and ML
- Deep experience with unsupervised ML: clustering (k-means, DBSCAN, hierarchical), PCA/UMAP, anomaly detection
- Experience designing and interpreting percentile-based benchmarks and cohort analyses at scale
- Strong communication and storytelling skills — able to interpret complex quantitative findings and present them clearly to both technical teams and business stakeholders.
- Comfort operating in ambiguous, greenfield environments where the methodology is yours to define.
Benefits:
- Snowflake is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
- Flexible work arrangements.
Similar Jobs
Senior Principal Scientist – Project Toxicologist
Sr. Principal Scientist leading toxicology projects for drug development at Amgen. Collaborating with cross-functional teams to ensure nonclinical safety in innovative therapeutics.
Senior Researcher, Suicide Prevention and Safety Outcomes
Senior Researcher for American Institutes for Research managing research projects in suicide prevention. Collaborating with various stakeholders to improve safety outcomes in communities and military contexts.
Research Fellow, Intern
Research Fellow at eClinicalWorks analyzing healthcare data and preparing manuscripts for peer-reviewed journals. Collaborating with industry leaders and academia in health service research and data science.
Research Scientist
Research Scientist conducting independent research in substance misuse and child wellbeing at The Ohio State University. Develops proposals, publishes findings, and mentors students.
Senior Researcher, Education Systems & Policy – Part-Time
Part-Time Senior Researcher supporting K-12 education accountability systems and evaluations. Engaging with stakeholders and managing complex policy analysis projects within the research team.
Machine Learning Research Scientist
Machine Learning Research Scientist at GroupSolver working on NLP models to enhance traditional market research practices. Collaborating with teams across different time zones to deliver insights for leading companies.
Principal Scientist, Radiopharmaceutical Therapy
Principal Scientist providing scientific input on clinical trials for medical imaging and clinical data. Leading document development, training, and project aspects in the biopharmaceutical field.
Senior Applied Scientist - Research, cMMM
Senior Applied Scientist developing the Haus Causal MMM product with a focus on innovative methodologies. Collaborating across teams to produce high-quality experiences based on causal inference and marketing measurement.
Research Assistant, Computer Science
Research Assistant at CMU's Human-Computer Interaction Institute conducting media analysis on workplace surveillance. Collaborating on data collection and case documentation in a remote setting.
Research Scientist II
Research Scientist managing technical equipment and supporting scientific research at Antarctic field stations. Working with diverse teams and ensuring operational success in extreme environments.
Research Assistant, Part Time
Research Assistant conducting UUV experimental research for the Naval Postgraduate School. Collaborating on hands-on laboratory and field work in a government research environment.
Staff Applied Scientist
Staff Applied Scientist at Lime leading technical strategy for vehicle perception. Tackling complex Computer Vision and Machine Learning challenges in micromobility applications with a global impact.
Staff Applied Scientist
Staff Applied Scientist at Lime focusing on advanced computer vision and machine learning solutions. Leading technical strategy and overseeing vision technology lifecycle in micromobility.
Education Finance Research Assistant Intern – Bachelor's Students
Education Finance Research Assistant Intern at AIR supporting research on state education finance. Collaborating on data analysis and project deliverables in a flexible remote role.
Research Assistant – Chemical Engineering
Part-time Research Assistant in Carnegie Mellon University's Chemical Engineering Department. Engaging in data analysis, application development, and supporting research objectives within the Laird lab.
Senior Applied Scientist, Agentic AI
Senior Applied Scientist developing LLM-powered reasoning systems for real estate applications at Zillow. Focusing on advanced reasoning and agentic capabilities in real estate use cases.
Applied Scientist II – Audio
Applied Scientist II focusing on audio deepfake detection models at Reality Defender, advancing cybersecurity with cutting-edge technology. Collaborate with teams to ensure model performance in real-world scenarios.
Senior Principal Scientist – Antibody-siRNA Bioanalytical, Biodistribution Strategy Lead
Senior Principal Scientist leading bioanalytical and biodistribution strategies for antibody-siRNA conjugates. Collaborating with multidisciplinary teams to support clinical candidate selection.
Senior Applied Scientist
Senior Applied Scientist developing proprietary models for corporate ownership and trade networks at Sayari. Collaborating with AI/ML engineers to shape data strategies and deployment processes.
Senior Researcher
Senior Researcher at Pureprofile managing Quantitative and Qualitative research projects while collaborating with Client Solutions/Sales team for actionable insights.