Are you passionate about AI? 🤖

At Satori Analytics, we aim to change the world one algorithm at a time by bringing clarity to global brands through Data & AI. From cloud-based ecosystems for fintech to predictive models for airlines, our cutting-edge solutions cover the entire data lifecycle—from ingestion to AI applications.

As a fast-growing scale-up, our team of 100+ tech specialists—including Data Engineers, Data Scientists, and more—delivers innovative analytics solutions across industries like FMCG, retail, manufacturing and FSI. Join us as we lead the data revolution in South-Eastern Europe and beyond!

What Your Day Might Look Like:

• Specify Bayesian regression models from scratch — likelihood, priors, hierarchical structure — not just library defaults
• Build and diagnose models in PyMC and/or Stan — MCMC sampling, convergence diagnostics (R-hat, ESS, divergences), and posterior visualisation with ArviZ
• Design hierarchical structures with partial pooling and multi-level architectures, handling sparse group data gracefully
• Chain models correctly — sequential, multi-stage architectures with full uncertainty propagation (Monte Carlo through the chain, never point estimates)
• Model media dynamics — adstock and saturation transformations (geometric, Weibull, Hill), with parameters specified via priors and response curves extracted from posteriors
• Optimise budgets under constraints — scipy.optimize and CVXPY for channel floors/ceilings and portfolio constraints, plus multi-objective work (Pareto frontiers, weighted utility, conflicting objectives)
• Establish causal ground truth — geo experiment design and analysis, Difference-in-Differences, Synthetic Control, and experiment-to-model calibration
• Handle structural breaks — piecewise regression, change-point detection (PELT, BOCPD, Bayesian), and regression discontinuity design
• Document your work — methodology docs, assumption logs, and structured write-ups that stand up to scrutiny

Requirements

Your Superpowers🚀:

• Strong Python — production-quality, clean, reproducible code (pandas, NumPy, scikit-learn)
• Solid SQL — joins, window functions, and aggregations at scale
• Applied statistics depth — distributions, regression, hypothesis testing, model evaluation, and genuine comfort working with probability distributions and uncertainty
• From-scratch Bayesian modelling — you can write down a likelihood, choose priors, and defend a hierarchy, not just call a packaged tool
• PyMC and/or Stan fluency — including reading and acting on convergence diagnostics
• Uncertainty discipline — you propagate posteriors through model chains rather than collapsing to point estimates
• Optimisation experience — constrained nonlinear and multi-objective problems in a real-world setting
• Causal inference toolkit — geo experiments, DiD, Synthetic Control, and calibrating models against experimental results
• Git / version control as a matter of habit
• Clear written communication — you document methodology and assumptions without being asked
• Independence — you work from a defined brief, manage your own progress, and are proactive when blocked
• AI awareness — you follow the space and know when (and when not) to reach for AI tooling

Bonus Points for:

• CausalImpact or equivalent Bayesian causal inference frameworks
• MLflow or other experiment-tracking tooling
• NumPyro / Pyro experience
• Geo lift tests — experience running or analysing them in a media context

Benefits

Perks on Perks:

• Competitive salary and hybrid work model – come hang out in our Athens office or work remotely from anywhere in European economic Area (EU, Switzerland etc.) or UK (up to 6 weeks per year).
• Training budget to level up your skills from the top tech partners in the market (Microsoft, AWS, Salesforce, Databricks etc.) – whether it’s certifications or courses, we’ve got you covered.
• Private insurance, top-tier tech gear, and the chance to work with a stellar crew.

Ready to create some data magic with us? Hit that apply button and let’s get started.