Data Scientist for Poker Strategy Analysis

Abrir

Auxilia

Empleador

Categoría de trabajo:

Software

Presupuesto esperado:

Negociable

Habilidades preferidas:

python

Publicado: el 2025-04-28

14 días restantes

Descripción del trabajo

Data Scientist needed for an analysis project focusing on poker strategy, specifically CSV file analysis and .mkr file conversion. The ideal candidate will develop a program to extract strategic metrics and automate hand categorization.

Required Experience

- Required:

- Experience with data analysis and CSV processing (any language).

- Ability to handle and convert .mkr files.

- Experience with combinatorial game theory calculations.

- Ability to translate poker concepts into mathematical models.

- Nice to have:

- Knowledge of poker rules.

Funciones requeridas:

- Analyze CSV files with poker hand data to extract value/bluff thresholds and strategic metrics. - Automatically categorize poker hands and generate simplified strategy outputs for different categories. - Identify key blockers (cards that most affect the range). - Work with additional CSVs containing opponent fold/call/raise ranges and integrate this data into the analysis. - Handle and convert .mkr files into CSV format for further analysis.

Archivos adjuntos

test.mkr

The first stage of recruitment involves working with the attached .mkr file (solver output format used in poker strategy tools). Your task is to: Convert the .mkr file into structured CSV data Include columns for Hand, Range, EV Submit two deliverables: A processed CSV file with threshold calculations (value/bluff hands, key blockers). A brief summary document (1 page max) explaining your methodology.