Westcode

Senior Data Scientist

160 - 220 PLN/ godz./ godz.B2BB2B (netto)

SeniorHybryda·KrakówInne·B2B

#466269·Dodano 11 dni temu·3

Źródło: justjoin.it

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Tech Stack / Keywords

PythonStatisticsProbabilityMachine Learning

Podsumowanie oferty

Senior Quantitative Data Scientist developing predictive models and statistical decision systems for projects involving sports modelling, probability estimation, real-time analytics and dynamic pricing. The work uses Python, NumPy, pandas, SciPy, scikit-learn and SQL.

Wymagania

Must Have:

5+ years of professional experience in Data Science, quantitative research, statistical modelling or related fields.
Strong Python programming skills.
Advanced knowledge of probability theory and statistics.
Practical experience developing and validating predictive models.
Experience with statistical inference, regression and probabilistic modelling.
Strong feature engineering and data analysis skills.
Experience with model evaluation, backtesting and calibration.
Good SQL skills.
Ability to translate complex analytical problems into mathematical models.
Understanding of model limitations, uncertainty and data quality.
Good English.
Ability to communicate quantitative findings to technical and business stakeholders.

Strong Advantage:

Commercial experience in sports analytics, sports modelling or betting technology.
Probability models for football, basketball, tennis or other sports.
Pre-match or in-play probability estimation.
Odds compilation, pricing models or sportsbook analytics.
Poisson-based models, Bayesian methods or Monte Carlo simulations.
Time-dependent and event-driven predictive models.
Real-time model inference and continuous model updates.
Quantitative finance, algorithmic trading or financial risk modelling.
Dynamic pricing or optimization systems.
Experience with correlated outcomes and complex probability distributions.
Production deployment and monitoring of statistical or machine learning models.
Experience working with large historical event datasets.

Obowiązki

What You’ll Work On:

Develop statistical and probabilistic models for event prediction.
Build predictive models using historical and real-time data.
Estimate probabilities and calibrate models.
Develop models supporting dynamic pricing and decision-making.
Analyse complex event sequences and time-dependent variables.
Perform feature engineering and selection.
Run Monte Carlo simulations and scenario analyses.
Evaluate model accuracy, stability and performance.
Backtest and validate models.
Integrate predictive models with production data platforms.
Collaborate with Data Engineers, Software Engineers and domain specialists.

Westcode

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