Data Science Specialist - Snowpark & Predictive Analytics — Snowflake

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Data Science · Verified Opening #57

Data Science Specialist - Snowpark & Predictive Analytics

business Snowflake location_on San Mateo, CA (Hybrid) apartment Hybrid Full Time

Compensation

$94K – 122K/yr

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Published Date

1 week ago

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Work Arrangement

Hybrid • San Mateo, CA

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Open Positions

3 openings

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Experience Level

Mid-level

overview Role Overview

About the opportunity

Develop in-database machine-learning models and statistical transformations directly using Snowflake Snowpark for Python.

Snowflake is seeking a Data Science Specialist to help build and test end-to-end data science workloads on the Data Cloud. You will leverage Snowpark for Python to train and deploy models inside Snowflake's secure data boundary without moving data out of the warehouse.

Key Focus Areas:
• Snowpark DataFrames, Python UDFs, and stored procedures.
• Automated feature stores and data preparation workflows.
• Scalable machine learning training using scikit-learn and XGBoost in Snowflake.
• Real-time model inference and SQL integration.

task Core Responsibilities

What you will do

check_circle Author and optimize Snowpark Python stored procedures and user-defined functions (UDFs).
check_circle Develop predictive churn, segmentation, and demand forecasting models.
check_circle Streamline data transformation pipelines bridging data engineering and data science.
check_circle Benchmark performance gains and compute efficiency of Snowpark workloads.

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What we are looking for

arrow_circle_right Practical experience using Python and advanced SQL in modern cloud warehouses.
arrow_circle_right Familiarity with Snowflake architecture, Snowpark, or similar cloud data platforms.
arrow_circle_right Experience training models with scikit-learn, XGBoost, or LightGBM.
arrow_circle_right Strong troubleshooting skills and understanding of data modeling principles.

code_blocks Technologies & Competencies

Skills & Tech Stack

Python Snowflake Snowpark SQL scikit-learn Predictive Modeling

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Why candidate applications stand out

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Verified Technical Credentials

Applications include direct proof-of-work repositories and instructor verification endorsements.

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Direct internal referral channels through enterprise partners bypass automated resume discard filters.

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Submit your résumé (PDF, DOC or DOCX up to 5 MB) for direct consideration by the Snowflake hiring team.

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Cover Note

Snowflake

San Mateo, CA (Hybrid)

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