About the job
Pinely is seeking a dedicated and skilled Senior Research Analyst to enhance our intricate production systems utilizing advanced analytics and machine learning techniques. In this role, you will tackle complex challenges in an agile environment, applying your proficiency in statistical analysis and uplift modeling.
Key Responsibilities
- Establish and execute performance metrics to track project success;
- Identify operational bottlenecks and opportunities for expanding market share;
- Refine trading constraints and assess the impact of proposed changes;
- Conduct A/B testing and rigorously analyze results;
- Break down strategies into quantifiable metrics;
- Detect anomalies and scrutinize performance discrepancies;
- Facilitate quicker decision-making processes by developing analytical dashboards;
- Enhance simulation reliability through the training of dynamic parametric models.
Qualifications
- Proficient in Python, with hands-on experience in libraries such as pandas, numpy, and PyTorch;
- Strong foundation in probability and mathematical statistics;
- Demonstrated experience in data analysis and machine learning methodologies;
- Expertise in statistical testing and A/B experiment design;
- Familiarity with machine learning system architecture;
- A fervent interest in exploring complex, open-ended questions through data;
- Aiming to enhance decision-making processes based on probabilistic analysis;
- Passionate about optimizing metric sensitivity and statistical power.
What We Offer
- Competitive base salary with attractive social benefits;
- Robust bonus structure with flexibility in salary discussions;
- Access to state-of-the-art hardware and software, along with high-caliber technical expertise, facilitating the implementation of innovative ideas and achieving outstanding results;
- Opportunities to trade across numerous international exchanges;
- Flexible working environment with minimal bureaucracy and management oversight;
- Tuition reimbursement and sponsorship for conferences and training programs.

