Research Analyst

Pinely; Amsterdam; Sur place; EUR 60 000 - 80 000; Plein temps

Avantages offerts par ce poste

Generous bonus structure

Tuition reimbursement

Flexible workflow

Résumé du poste

Pinely is seeking a passionate Research Analyst to optimize its production system through advanced analytics and machine learning. You will tackle challenging problems using statistical analysis and uplift modeling to drive measurable improvements across operations.

You will build dashboards, run A/B tests, identify bottlenecks, and translate data into actionable insights. The role offers exposure to cutting-edge hardware and software, a generous bonus structure, and flexible working practices

Qualifications

• Strong Python skills with pandas, NumPy, and PyTorch.
• Solid understanding of probability theory and mathematical statistics.
• Proven experience in data analysis and machine learning.
• Expertise in statistical testing and A/B experiment design.
• Familiarity with ML system design.
• Passion for investigating complex open-ended questions through data analysis.
• Desire to develop decision-making skills based on probabilistic metrics.
• Enthusiasm for optimizing metric sensitivity and power.

Responsabilités

• Develop and implement performance metrics;
• Identify bottlenecks and opportunities for market share growth;
• Optimize trading constraints and evaluate changes;
• Conduct A/B tests and analyze data;
• Decompose strategies into measurable components;
• Detect anomalies and analyze performance issues;
• Accelerate decision-making processes by designing analytical dashboards;
• Improve simulation credibility by training dynamic parametric models.

Connaissances

Python

Pandas

NumPy

PyTorch

Probability theory

Statistics

Data analysis

Machine learning

A/B testing

ML system design

Probabilistic metrics

Description du poste

We are looking for a passionate Research Analyst who will play a crucial role in optimizing our complex production system through advanced analytics and machine learning. You will work on challenging problems in a dynamic environment, leveraging your expertise in statistical analysis and uplift modeling.

Responsibilities

• Develop and implement performance metrics;
• Identify bottlenecks and opportunities for market share growth;
• Optimize trading constraints and evaluate changes;
• Conduct A/B tests and analyze data;
• Decompose strategies into measurable components;
• Detect anomalies and analyze performance issues;
• Accelerate decision-making processes by designing analytical dashboards;
• Improve simulation credibility by training dynamic parametric models.
  

Requirements

• Strong Python skills with experience in pandas, NumPy, and PyTorch;
• Solid understanding of probability theory and mathematical statistics;
• Proven experience in data analysis and machine learning;
• Expertise in statistical testing and A/B experiment design;
• Familiarity with ML system design;
• Passion for investigating complex open-ended questions through data analysis;
• Desire to develop decision-making skills based on probabilistic metrics;
• Enthusiasm for optimizing metric sensitivity and power.

What we offer

• High base salary and social benefits;
• Generous bonus structure. We are very flexible in discussing salary and conditions of employment;
• Cutting-edge hardware and software in production, as well as high technical expertise of the company which allows implementation of bold ideas and boosts great results. Ownership over initiatives that directly solve business problems;
• Ability to trade on dozens of international exchanges;
• Flexible workflow (lack of formalism and bureaucracy, no pressure and over-management) and working schedule;
• Tuition reimbursement, conference and training sponsorship.