
Kasia Rachuta
UCL

Intuit
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Work Experience

Senior Staff Data Scientist
Intuit
May 2026 - Present

Data Science Tech LEad
Square
November 2022 - May 2026
Interviewer
IC Contributions: - Collaborated cross-functionally with Risk, Compliance, Onboarding, and data science teams - Built IDV funnels across markets: data infrastructure and Looker dashboards - Led causal inference work: designed/analyzed A/B tests with diff-in-diff, interrupted time series (segmented regression), and survival analysis; delivered actionable recommendations - Drove team data literacy, boosting A/B test usage 200% YoY - AI-powered analytics: Used Claude/GPT on Snowflake Cortex to automate business type/address matching for 100K+ records - Customer insights via AI: Applied GooseAI/ChatGPT for CS ticket analysis, identifying churn-reduction patterns - Built classification model uncovering $0.5M/year fee exposure Technical & Team Leadership: - Authored org-wide ETL design doc template; initiated peer review process and data science best practices - Championed tool adoption (Anomalo, Select Star, Growthbook, Databricks, data contracts) — 50% time savings - Created team vision/roadmap; owned sprint planning, stakeholder updates, and bi-weekly ceremonies - Mentored/coached 3+ data scientists (various levels); led team of 3 during leave (sprints/OKRs) - Co-led data science IC career ladder and interview revamp; served on promotion panels - AI Steering Committee member shaping enterprise AI roadmap Analytical Skills, Data Science and +1 skill
Data Science
Cohort
February 2022 - February 2024
A fellow of the Coho career fellowships. Coho, as The Direct To Experience ™️ Learning Network, connects learning with experience, so people feel empowered in their lives, careers, and their organizations. Analytical Skills, Data Science and +1 skill

Analytics Manager
Square
January 2022 - November 2022
Interviewer
Managed a team of 4 analysts and data scientists to deliver value for the sales team. - Partnered with data engineering, infrastructure and governance to improve data quality and infrastructure across the org - Collaborated with finance and strategy, marketing, sales leadership to standardize pacing reporting - Introduced team processes: set up JIRA sprints, managed and prioritized JIRA queue of external requests, set out quarterly OKRs for the team and individual team members - Held quarterly career conversations, monthly feedback sessions and coached teammates on technical skills (Looker, SQL, Python, data quality) and soft skills (effective communication and presentation) Analytical Skills, Data Science and +1 skill

Senior Data Scientist
Square
April 2020 - January 2022
Interviewer
Supporting 5 ECOM product managers and working on onboarding and activation; website editor parts of Square Online, as well as the Photo Studio. - Product Analytics: Helping PMs to design success metrics and KPIs; reporting on those for business reviews and creating dashboards that provide the data and aggregated metrics. - Design and QA for event tracking in Snowplow. - Leading a project re-designing ETLs for the Editor data, which includes over 25 different ETLs. - Mentoring a summer intern and 4 new hires; interviewing new candidates - Designing, monitoring and analyzing A/B tests - Running deep dive analyses such as funnel analysis Analytical Skills, Data Science and +1 skill

Data Scientist
Medium
October 2017 - February 2019
- Product analytics: partnering with PMs to conduct analyses on product changes impact, user segmentation; conducting ad-hoc analyses - Infrastructure: designing, developing and owning ETL pipelines; migrating from in-house tools to Looker - Tooling, dashboarding and reporting: building those out to make analytics accessible for teams such as Marketing and Editorial - Experimentation: assisting PMs in designing A/B tests and helping them analyzing the results to make a product decision Analytical Skills, Data Science and +1 skill
Product Analyst
Fivestars by SumUp
July 2016 - October 2017
• Product analytics (mobile and in-store): worked with Engineering to design and implement Mixpanel instrumentation; tested data quality; defined KPIs; built Periscope dashboards for company-wide audience to explain current and previous states of the product; scraped the web to collect more data on our customers to improve targeting for in-store alpha and beta test targeting; analyzed results of A/B tests • Research projects: analyzed the value of the messaging feature for Marketing and Product; modeled churn to increase customer retention using logistic regression; modeled Promotion messaging to optimize claim rate using regex and multivariate regression • Fulfilling ad-hoc data requests on weekly/daily basis using PostgreSQL and Redshift across 5 different data sources and over 100 different tables Analytical Skills, Data Science and +1 skill
Kasia was also given offers to work at

Meta

DoorDash

Ironclad

Gusto
Education
UCL
MSci, Atomic and Particle Physics and Physical Chemistry (Natural Sciences)
Grade: Upper Second Class Honours • Awarded first class honours in the 'Simulating Scanning Probe Spectroscopy' master's project • Additional modules: Management Principles; Accounting; Project, Programme and Portfolio Management; French for Business and Current Affairs Analytical Skills and Data Analysis

Beijing Normal University
China’s Economic Development and Current Issues
5.0 average review
7 reviews
Overall rating
Kasia has helped clients get into these companies: