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Senior Data Scientist
Databricks · Mountain View, California; San Francisco, California
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What Databricks asks for
From Databricks' Senior Data Scientist ad, checked 2 Nov 2026.
Machine learning in production
Experience using data science and machine learning in production environments to create products that solve business problems.
Product analytics
Tracking and interpreting user behavior through methods like adoption, churn, cohort analysis, and funnel analysis.
Python, Scala and software principles
Strong skills in Python or Scala, including software engineering practices like code reviews, testing, and deployment.
Spark and SQL
Proficiency in SQL and experience using distributed processing systems such as Spark or Hadoop.
Stakeholder management
Working with various business functions to gather requirements, define project milestones, and explain technical results to non-technical partners.
The ad asks for a Bachelor, Master, or PhD in Computer Science or a related field. Based in Mountain View or San Francisco.
How the example answers the ad
Three of the five requirements above, each matched to a line in the example.
Machine learning in production
“Built and deployed a Gradient Boosting model to forecast platform usage, increasing resource allocation efficiency by 22%.”
Deploying a Gradient Boosting model into a live environment to improve resource allocation shows practical machine learning in production.
Product analytics
“Conducted comprehensive churn and cohort analysis across user segments, contributing to a 15% improvement in platform retention.”
The use of churn and cohort analysis to influence retention metrics covers the core methods of product analytics.
Python, Scala and software principles
“Mentored junior engineers through bi-weekly code reviews and instituted unit testing protocols to improve codebase stability.”
Managing code reviews and unit testing protocols reflects the application of software engineering practices to maintain code quality.
The whole example as text
Tomasz Kowalski · Senior Data Scientist
Summary
Senior Data Scientist with 6 years of experience in distributed systems and predictive modeling. Develops machine learning solutions to forecast usage patterns for high-traffic platforms. Leads cross-functional collaboration to translate technical findings into actionable business requirements. Deploys production-grade code using Spark and Python to scale data processing pipelines.
Experience
Senior Data Scientist · Expedia Group
Seattle, WA · 2023 - Present
- Built and deployed a Gradient Boosting model to forecast platform usage, increasing resource allocation efficiency by 22%.
- Managed end-to-end production pipelines using PySpark and SQL, reducing data processing latency by 40%.
- Conducted comprehensive churn and cohort analysis across user segments, contributing to a 15% improvement in platform retention.
- Mentored junior engineers through bi-weekly code reviews and instituted unit testing protocols to improve codebase stability.
- Communicated project milestones and technical results to product leadership to secure budget for new cloud infrastructure initiatives.
Data Scientist · Zillow
Seattle, WA · 2021 - 2023
- Developed a demand-forecasting model that improved inventory balancing across regional clusters by 18%.
- Engineered ETL pipelines using Python and Spark to process over 5TB of daily user interaction logs.
- Led an initiative to standardize feature engineering processes, cutting model development time by 30%.
- Analyzed user behavior patterns through funnel and conversion tracking, directly informing the UI redesign strategy.
Junior Data Scientist · Nordstrom
Seattle, WA · 2020 - 2021
- Created automated reporting dashboards in SQL that provided daily insights to regional sales leads.
- Validated model performance metrics against historical sales data to ensure 95% accuracy in predictions.
- Assisted in the transition of data infrastructure to a scalable cloud environment.
- Documented technical workflows and contributed to internal knowledge bases to streamline onboarding for new hires.
Education
Master of Science in Computer Science · Georgia Institute of Technology
Atlanta, GA · 2018 - 2020
- Maintained a 3.9 GPA throughout the program
- Graduated Magna Cum Laude with a focus on Machine Learning
Skills
Frequently asked questions
Is the example from an employee?
No. It is an AI-written example for this ad, made to show how a resume can answer it.
What academic background is required?
You need a BS, MS, or PhD in Computer Science or a field related to it.
What tools are used for visualization?
The team uses R and Python for data analysis and creating visualizations.
Where do I apply?
On the official Databricks posting, through the job link on this page.
What happens when I tailor my resume here?
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