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Satori Analytics

Data Scientist – MMO Enhancements

Satori Analytics

Data Scientist at Satori Analytics focusing on AI-driven analytics enhancements across industries. Responsible for Bayesian modeling, causal inference, and collaborative problem-solving in data science.

Posted 7/10/2026full-timeAthens • 🇬🇷 GreeceMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
NumpyPandasPythonScikit-LearnSQL

About the role

Key responsibilities & impact
  • **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

What you’ll need
  • **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

Comp & perks
  • **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.

ATS Keywords

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Hard Skills & Tools
Bayesian RegressionMCMC SamplingHierarchical StructuresModel EvaluationOptimisation TechniquesCausal Ground TruthChange-Point DetectionStatistical DistributionsHypothesis TestingModel Diagnostics
Soft Skills
Clear Written CommunicationIndependenceProactive Problem Solving