# Senior Data Scientist

**Company:** [Snowflake](https://hotfix.jobs/companies/snowflake)
**Location:** Menlo Park, CA
**Role:** Data Science
**Salary:** $156k – $224k/yr
**Experience:** 8+ years
**Skills:** Python, SQL, Snowflake, BigQuery, Redshift, Spark, Time-Series Modeling, Probabilistic Modeling, Bayesian Methods, Machine Learning
**Posted:** 2026-03-20

> Leads high-impact modeling initiatives building production-ready forecasting systems for financial metrics like revenue and customer behavior using advanced ML and statistical techniques. Requires 8+ years experience, advanced degree, and expertise in Python, SQL, and time-series/probabilistic modeling.

## Job Description

## What You’ll Do
- 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.
- Drive improvements in automation, monitoring, drift detection, and lifecycle management of forecasting models.
- Partner with Finance, Product, and Sales teams to quantify the impact of new initiatives and understand key business drivers.
- Mentor and provide technical guidance to other data scientists; raise the bar for modeling rigor and production quality across the team.

## What We’re Looking For
- 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.
- Deep expertise in probabilistic modeling, forecasting methodologies, and model evaluation techniques.
- 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.
- Excellent communication skills, with experience presenting complex quantitative findings to executive stakeholders.
- A track record of elevating technical standards and mentoring other scientists.

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