Hi, I'm

Alec Pillsbury

Data Scientist, Manager

9 years of experience leading data-driven marketing optimization, causal analysis and experimentation. I specialize in leading and developing data products supporting large-scale marketing operations.

About Me

I’m Alec Pillsbury, most recently a Data Science Manager on the Marketing Science team at Indeed. I’m based in Brooklyn, New York. My professional interests are focused mainly on technical and quantitative solution for data problems.

Experience

Data Science Manager - Indeed
Jan 2021 - Aug 2025

Highlights

  • Online Marketing Optimization: Leading optimization across multiple channels (Meta, TikTok, Google, Yahoo JP) for both Jobseeker and Employer products
  • Conversion Optimization: Ownership of Indeed’s conversion optimization product and server-side tag manager deployment
  • Team Leadership: Hiring Manager for 8 open roles, responsible for technical assessments and team onboarding
  • Large-Scale Experimentation: Principal scientist on high-profile advertising experiments using CausalImpact, Diff-in-Diff, and geo experimentation methodologies

Key Achievements:

  • Led rollout of conversion upload across Indeed channels, enabling optimization for campaigns representing $100M+ in annualized spend
  • Received marketing award and top company rating (5/5, ~5% of company) for work leading to significant tROAS improvements
  • Deployed custom, globally available server-side GTM cluster to Kubernetes with privacy compliance integration
Marketing Data Scientist - Indeed
Aug 2018 - Jan 2021
  • Designed and built internal vendor search webapp using Node.js/Svelte and Elasticsearch/Snowflake
  • Spearheaded team transition to AWS from on-premises and MySQL to Snowflake migration
  • Focused on marketing optimization and automation initiatives
Technical Analyst - Indeed
Jul 2016 - Aug 2018
  • Designed bidding system for Indeed’s publisher program optimizing $8 million in annual spend
  • Created the first fully-automated marketing spend and pacing dashboard
  • Built foundational systems for marketing data analysis and optimization

Education

2012 - 2016
Bachelor of Arts - Computer Science & Sociology
Swarthmore College

Double Major: Computer Science & Sociology

Thesis: Programmatic Approaches to the Analysis of Social Networks

Relevant Coursework: Algorithms, Linear Algebra, Discrete Mathematics, Natural Language Processing, Compilers, Programming Languages, Proof Assistants (independent study), Data-Intensive Cluster Optimization (Summer Research Assistant)

Technical Expertise

Programming Languages & Analysis
  • Python: Primary language for data science, machine learning, and automation
  • R: Statistical analysis, causal inference, and advanced modeling
  • SQL: Complex queries across large datasets, optimization, and data warehousing
Platforms & Infrastructure
  • AWS: Cloud infrastructure, serverless architectures, and scalable data pipelines
  • Snowflake: Data warehousing, large-scale analytics, and performance optimization
  • Kubernetes: Container orchestration and deployment of data science applications
  • dbt: Data transformation, modeling, and analytics engineering
Marketing & Advertising Platforms
  • Google Ads: Campaign management, API integration, and automated bidding strategies
  • Meta Ads: Advanced analytics, Conversions API, and large-scale campaign optimization
  • Search Ads 360: Technical implementation and cross-platform campaign management
Specialized Methodologies
  • A/B Testing: Large-scale experimentation design and statistical analysis
  • Causal Inference: CausalImpact, difference-in-differences, and geo experimentation
  • Machine Learning: Predictive modeling, feature engineering, and model deployment
  • Marketing Analytics: Attribution modeling, conversion optimization, and performance measurement

Get in Touch

Feel free to reach out whether you’re interested in collaborating or with potential career opportunities.
Email Me