Data Scientist
2018 - PRESENTFacebook- Built and managed data infrastructure for a program's in-house CRM platform. Data infrastructure was used for sourcing new leads, monitoring program efficiency, and integrating data sources.
- Managed analytics for a new, experimental product developed for small businesses, including targeting criteria, feature-flags used during release, and developing insights about product adoption.
- Built and maintained lead-scoring models for an on-platform campaign that drove a 30% improvement in cost per campaign objective.
Technologies: SQL, PythonData Engineer, Product Analyst
2016 - 2018Poll Everywhere- Implemented Airflow and constructed the first data pipelines for the company.
- Managed the building and design of a data warehouse, including integrating data sources.
- Built a lead scoring system that automatically funneled leads to the sales team. The system included data enrichment, scoring, and result tracking.
Technologies: Apache Airflow, SQL, PythonBusiness Analyst
2014 - 2016Cartesian Consulting- Built data pipelines and a scoring system to measure and track the prevalence of account sharing for a video streaming service.
- Created revenue and operations tracking dashboards for a sales channel of a US wireless carrier.
- Developed cost-allocation models to assess the profitability of individual enterprise customers for a US communications service provider.
Technologies: SQL, Python
Tom Waterman
Data Building Tool (DBT) Developer in San Francisco, CA, United States
Member since June 24, 2020
Tom is a data scientist from Facebook with more than five years of experience in the technology sector. He's also worked as a data engineer for fast-growing SaaS companies, helping to build and manage their data infrastructure. He started his career as an analyst at a data consulting firm after graduating from Boston University with a degree in mathematics and statistics. Tom is looking forward to working on new challenges that help clients achieve their goals.
Tom is now available for hire
Portfolio
- FacebookSQL, Python
- Poll EverywhereApache Airflow, SQL, Python
- Cartesian ConsultingSQL, Python
Experience
- Python 5 years
- SQL 5 years
- Git 5 years
- Data Science 5 years
- Docker 3 years
- Redshift 3 years
- Apache Airflow 3 years
- Data Building Tool (DBT) 2 years
Availability
Part-time
Preferred Environment
Git, Docker, PostgreSQL, SQL, Apache Airflow, Python, Data Building Tool (DBT), Snowflake
The most amazing...
...application I've ever built was a custom A/B testing framework that enabled the company's developers to split test new features with just two lines of code.
Employment
Experience
- Greenfield Airflow Deployment
A greenfield Docker-based Airflow deployment used for building out the company's first data pipelines. The Airflow app managed ETL jobs that connected the company's internal services and vendor platforms with their data warehouse.
The app was also responsible for calculating the company's KPIs including daily active users, performing lead-scoring of new users, and monitoring the quality of data ingestion. The data pipelines in the application were used for several mission-critical projects, including A/B testing new pricing models and validating the effects of new feature releases of the company's customer-facing applications. - Lead Scoring and Recommendation System
Built a lead scoring system that automatically ranked all new users based on their propensity to become qualified leads, and then allocated the most qualified leads to the sales team each day for further qualification. The system used signals from data enhancement sites like Clearbit, engagement with marketing content on the company's website, and product usage to help improve the efficiency of our inside sales team and lead nurturing campaigns.
- A/B Testing for Pricing Changes and New Feature Releases
Built data analytics, including data pipelines and statistical significance calculations, for A/B tests of the company's pricing plans and feature releases. Provided recommendations based on that analytics which significantly affected the company's pricing strategy and product roadmap.
Skills
Languages
Python, SQL, R, SnowflakeFrameworks
Flask, Presto DBLibraries/APIs
Pandas, NumPy, Flask-RESTfulTools
Amazon Athena, Apache Airflow, Docker Compose, Jupyter, GitParadigms
Data Science, Database DesignStorage
PostgreSQL, Redshift, MySQL, Database Architecture, MongoDBOther
Data Engineering, Analytics, Dashboard Design, Data Scraping, Data Mining, Modeling, AWS, Data Building Tool (DBT)Platforms
Amazon Web Services (AWS), Docker, Ubuntu
Education
- Bachelor's Degree in Mathematics and Statistics2010 - 2014Boston University - Boston, Massachusetts
