Senior Data Scientist

Snowflake
Menlo Park
Workplace: HybridFull timeUSD 156,000 - 224,200 annuallyFunction: Data Science & Machine LearningExperience: 8+ yearsSkills: ["Communication","Leadership","Mentoring","Collaboration","Problem-solving"]

Senior Data Scientist leading production-ready forecasting systems for core financial metrics, combining time-series and probabilistic modeling with business strategy. You’ll develop scalable modeling infrastructure, mentor peers, and collaborate with Finance, Product, and Sales to quantify impact, using Python, SQL, and large-scale data processing tools in a hybrid setting.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Snowflake
Snowflake
4 months ago

Senior Data Scientist

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 9 hours agoStatus: Live
Reposted: similar role first listed 5 months ago

Job Summary

Senior Data Scientist leading production-ready forecasting systems for core financial metrics, combining time-series and probabilistic modeling with business strategy. You’ll develop scalable modeling infrastructure, mentor peers, and collaborate with Finance, Product, and Sales to quantify impact, using Python, SQL, and large-scale data processing tools in a hybrid setting.
Location: Menlo Park
Workplace: Hybrid
Employment Type: Full time · Permanent
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Design and implement advanced time-series and probabilistic models (e.g., hierarchical models, state-space models, Bayesian approaches, multivariate forecasting).
  • •Contribute to internal tooling and shared infrastructure that enables scalable forecasting and analytics.
  • •Establish best practices for model evaluation, backtesting, uncertainty quantification, and scenario simulation.
  • •Apply advanced statistical and ML techniques to model customer behavior, product adoption, revenue dynamics, and cost trends.
  • •Mentor and provide technical guidance to other data scientists; raise the bar for modeling rigor and production quality across the team.

Pay and Benefits

Salary: USD 156,000 - 224,200 annually

Key Requirements

  • •Advanced degree in a quantitative discipline (Statistics, Mathematics, Operations Research, Economics, Engineering, Computer Science) or equivalent practical experience.
  • •8+ years of experience building and deploying production-grade ML or statistical systems, with significant experience in time-series modeling.
  • •Strong proficiency in Python and the scientific Python ecosystem; fluency in SQL.
  • •Experience designing systems for large-scale data processing (e.g., Snowflake, BigQuery, Redshift, Spark).
  • •Demonstrated ability to lead technically ambiguous projects with significant business impact and to mentor other scientists.
Experience:8+ yearsFinanceForecastingMachine learningTime-seriesStatistics
Skills:CommunicationLeadershipMentoringCollaborationProblem-solving
Tech Stack:PythonSQLSnowflakeBigQueryRedshiftSpark

Company Brief

Snowflake
Provides a cloud-native data platform for data warehousing, data engineering, data science, and analytics, enabling organizations to store, process, and share large-scale data across multiple cloud providers with elastic scalability and performance.
Industry: Data Infrastructure
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Bozeman, United States
Founded: 2012
WebsiteLinkedIn