Data Scientist for Business Negotiation Game
@ The Negotiation Experts

Hybrid
$120,000
Hybrid
Full Time
Posted 14 hours ago

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XXXXXXXXX XXXXXXXXX XXXXXX****** @negotiationexperts.com
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Job Details

Overview

The Data Scientist for Business Negotiation Game at The Negotiation Experts will uncover and model key factors influencing negotiation outcomes in our innovative simulation game platform. You will extract deep insights from our extensive client sim games data.

Role Details

This role offers flexible working hours and can be part-time or full-time, with no restrictions on your location. You will work remotely and communicate directly with our CEO and consulting Data Scientist.

Key Responsibilities

  • Analyze JSON flat files from completed simulation games.
  • Apply Python and data science libraries such as pandas, NumPy, SciPy, scikit-learn, Jupyter, and SQL.
  • Extract hidden patterns, test hypotheses, and model negotiation factors.
  • Collaborate with a global team to drive insights and improvements.

Qualifications

A bachelor’s degree in Computer Science, Applied Mathematics, Data Science, or a related STEM field is preferred, with a master’s degree as a plus. At least one year of experience in a research or experimental environment is required. Strong command of English is essential.

About The Negotiation Experts

With 25 years of experience delivering negotiation training to global corporate clients, The Negotiation Experts have transformed the negotiation training landscape with their advanced scored simulation game platform.

Key skills/competency

  • Python
  • pandas
  • NumPy
  • SciPy
  • scikit-learn
  • Jupyter
  • SQL
  • Data Visualization
  • Statistical Analysis
  • Data Wrangling

How to Get Hired at The Negotiation Experts

🎯 Tips for Getting Hired

  • Customize your resume: Highlight Python and analytical project experiences.
  • Research The Negotiation Experts: Understand their simulation game platform and history.
  • Prepare for technical tests: Practice data analysis and visualization problems.
  • Practice clear communication: Emphasize collaboration examples in interviews.

📝 Interview Preparation Advice

Technical Preparation

Review Python libraries and modules.
Practice SQL querying and data manipulations.
Refresh statistical analysis and visualization skills.
Work on real-world data projects.

Behavioral Questions

Prepare clear communication examples.
Highlight teamwork in past projects.
Discuss problem-solving scenarios.
Show adaptability in changing environments.

Frequently Asked Questions