Applied scientist with a PhD in computer science and 5 years of industry experience in search ranking and natural language processing. Shipped a learning-to-rank system that raised search conversion 9% for 30M monthly users. Combines research depth with production engineering in PyTorch and distributed training.
Experience
Applied Scientist II, Meridian Marketplace (Seattle, WA)
Aug 2022 – Present
Designed a transformer-based learning-to-rank model for product search, lifting search conversion 9% across 30M monthly users
Built query-intent classification with distilled BERT, serving 4,000 requests per second at 12 ms p99
Created an offline evaluation suite with NDCG and interleaving that predicted online wins in 8 of 10 launches
Published 2 papers at SIGIR and KDD workshops based on production ranking work
Applied Scientist, Corvid Labs (San Francisco, CA)
Jan 2021 – Jul 2022
Fine-tuned sequence-to-sequence models for support ticket summarization, cutting agent handle time 14%
Built a weak-supervision labeling pipeline with Snorkel, producing 200,000 training labels in 3 weeks
Research Intern, Allegheny Language Systems (Pittsburgh, PA)
May 2019 – Aug 2019
Prototyped dense passage retrieval for customer FAQ search, improving recall@10 by 14 points
Education
Ph.D. in Computer Science (Language Technologies), Carnegie Mellon University (Aug 2015 – Dec 2020)
B.S.E. in Computer Science, University of Michigan (Sep 2011 – May 2015)
Skills
ML: PyTorch, Hugging Face Transformers, learning to rank, NLP, contrastive learning
A strong Applied Scientist resume shows the questions you answered, the models or pipelines you shipped, and the decisions your analysis changed. Put your most relevant recent role first and make every bullet show a result, not a duty.
Sections, in order
Summary
Experience
Projects
Skills
Education
Length: One page for most candidates; move to two only if every line is relevant.
Summary: Write two or three lines: your role, your strongest skills, and one result that proves them.
Skills to feature
SQL
Python or R
Statistics
Machine learning
Data modeling
dbt and ELT pipelines
BI tools (Looker, Tableau, Power BI)
Experiment design
Data visualization
Stakeholder communication
Example bullet points
Built a churn model (gradient boosting, AUC 0.86) that targeted retention offers and saved $900k a year
Rebuilt the revenue dashboard on dbt and Looker, cutting refresh time from 6 hours to 20 minutes
Designed 25 A/B tests with sequential analysis, shortening the average test from 4 weeks to 10 days
Tips from recruiters
Pair every technique with the decision it informed; "built a model" alone says little.
List tools under grouped skills ("Analytics: SQL, dbt, Looker") so ATS keyword matches are exact.
Link a notebook, Kaggle profile or public analysis if you have one.
Recommended templates
Classic (ATS-friendly): Jake's-style LaTeX classic: small caps and hairline rules
Modern (ATS-friendly): Clean single column with accent headings and rules
Compact (ATS-friendly): Dense single column that fits long histories
Applied Scientist resume FAQ
What should a Applied Scientist resume include?
A Applied Scientist resume should show the questions you answered, the models or pipelines you shipped, and the decisions your analysis changed. Use these sections in this order: Summary, Experience, Projects, Skills and Education. Put your most relevant recent role first and make every bullet show a result, not a duty.
What is the best resume template for a Applied Scientist?
Classic, Modern and Compact work well for Applied Scientist roles. They are single-column with standard headings, so applicant tracking systems (ATS) parse them reliably.
How long should a Applied Scientist resume be?
One page for most candidates; move to two only if every line is relevant.
Which skills should a Applied Scientist put on a resume?
Prioritize the skills named in the job posting. Common ones for Applied Scientist roles are SQL, Python or R, Statistics, Machine learning, Data modeling and dbt and ELT pipelines.
How do I write strong Applied Scientist resume bullet points?
Start with an action verb, say what you did, and end with a measurable result such as forecast accuracy, revenue impact and query time. For example: "Built a churn model (gradient boosting, AUC 0.86) that targeted retention offers and saved $900k a year."