Data Scientist - Lakehouse Analytics & Predictive Modeling — Databricks

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Data Science · Verified Opening #62

Data Scientist - Lakehouse Analytics & Predictive Modeling

business Databricks location_on San Francisco, CA (Hybrid) apartment Hybrid Full Time

Compensation

$92K – 120K/yr

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Published Date

1 week ago

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Work Arrangement

Hybrid • San Francisco, CA

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Open Positions

2 openings

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Experience Level

Mid-level

overview Role Overview

About the opportunity

Build predictive models, automate ETL pipelines, and generate actionable customer behavioral analytics on the Databricks Lakehouse platform.

Join Databricks as a Data Scientist focused on lakehouse analytics. You will work with telemetry and business data to discover patterns, build statistical forecasts, and train machine-learning models using PySpark and MLflow. You will turn raw distributed data into decision-ready business intelligence.

Key Focus Areas:
• Distributed data transformations on Apache Spark and Delta Lake.
• End-to-end ML lifecycle tracking and deployment using MLflow.
• Feature engineering and exploratory data analysis across massive cloud datasets.
• Cross-functional dashboards and statistical executive reporting.

task Core Responsibilities

What you will do

check_circle Develop predictive and forecasting models using PySpark, scikit-learn, and Delta Lake.
check_circle Build automated analytics pipelines and dashboards for executive reporting.
check_circle Track model experiments and deployments with MLflow.
check_circle Partner with product analytics teams to analyze user journeys and retention metrics.

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What we are looking for

arrow_circle_right Proficiency in Python, SQL, and distributed data processing with Apache Spark / PySpark.
arrow_circle_right Solid background in exploratory data analysis (EDA), hypothesis testing, and regression models.
arrow_circle_right Experience with Git, notebooks, and modern data visualization tools.
arrow_circle_right Bachelor's or Master's degree in Data Science, Computer Science, or quantitative discipline.

code_blocks Technologies & Competencies

Skills & Tech Stack

Python PySpark SQL Delta Lake MLflow Data Visualization

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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 Databricks hiring team.

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Cover Note

Databricks

San Francisco, CA (Hybrid)

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