Eiva Orce - Data Scientist Consultant

I’m Eiva Orce, senior data scientist with 8+ years driving product growth through experimentation, causal inference, machine learning methodologies and exploratory data analysis.

I have solid experience solving data challenges in SaaS, e-commerce and airline industry having worked at Canva, Zalando, and Ryanair, platforms reaching from 65M+ to 250M+ active users.

I now bring that same senior thinking as a consultant, helping businesses of any size, whether you are just starting with data or scaling an established setup, move faster and make better decisions.

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What I can offer

Product analytics

Understand how users move through your product, and know which levers actually move your metrics

  • Tracking implementation and audits: Collect the data you actually need to answer your questions.
  • KPI definition and reporting frameworks: Agree on what success looks like and track it consistently.
  • Customer lifecycle analysis: Find where users drop off across acquisition, activation, retention, and loyalty, and what makes the ones who stay different.
  • Churn and conversion modeling.: Predict which users are likely to leave or upgrade, so you know where to focus.

Data pipelines & reporting

Build reliable data foundations, so your team spends less time fixing data and more time using it

  • Pipeline design and implementation: Move data from your sources into one place, clean and ready for analysis.
  • Data cleaning and structuring: Turn messy, inconsistent data into tables your team can trust.
  • Pipeline debugging: Find and fix what’s breaking, so your numbers stay correct.
  • Automated, self-service reporting and dashboards

Experimentation

Ensure impactful feature releases with measurable results

  • A/B test design and analysis: Set up tests correctly and read results you can trust, from hypothesis to rollout decision.
  • Causal inference:Measure the real impact of changes you can’t A/B test, like pricing updates or feature launches to all users.
  • Experimentation analytical frameworks:Standardize how tests are designed, analyzed, and decided, so your team runs more tests with less effort and consistent results.

How I work

Clear scope, hands-on delivery, and a clean handover

  • Projects of any size: From a one-off analysis to a multi-month build, each with a clear goal, scope, and timeline.
  • Advice or execution
  • Handover included: You get the code, documentation, and know-how to keep going without me.

Why work with me

  • Senior-level thinking, freelance flexibility with proven experience delivering complex and high impact projects, without the overhead of a full-time hire
  • Advice or execution, your choice: I can guide your team’s approach, or build the pipelines, dashboards, and analysis myself.
  • Fast to start: project based engagements, no lengthy onboarding
  • Proven at scale: experience across platforms from tens of millions to 250M+ active users
  • Clear communication: comfortable working directly with technical and non-technical stakeholders

FAQ

Send me an email with a brief on what you need. From there we will set up a call to scope the work and put together a clear plan. No commitment upfront.

Not necessary. Assessing what you have and fixing gaps is often the first step.

All three work. A quick task or a single project (like one deep-dive analysis or fixing your tracking) has a clear end date. Ongoing help (a few days a week, for a number of months) works better as part-time, continuous support.

Technologies I work in

SQL Python Google Analytics Adobe Analytics In-house event tracking systems BigQuery Snowflake dbt Databricks Airflow Tableau Looker Excel Fivetran Git Observability and anomaly detection (Validio, Bigeye)

My data science journey

What colleagues say

More references available on LinkedIn.