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Data Scientist – MMO Enhancements
Satori AnalyticsData 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.
Tech Stack
Tools & technologiesNumpyPandasPythonScikit-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
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Bayesian RegressionMCMC SamplingHierarchical StructuresModel EvaluationOptimisation TechniquesCausal Ground TruthChange-Point DetectionStatistical DistributionsHypothesis TestingModel Diagnostics
Soft Skills
Clear Written CommunicationIndependenceProactive Problem Solving