Data Scientist

Job Description

We are seeking a Data Scientist to enhance our dynamic pricing strategies. The role involves developing and refining pipelines for the collection, cleaning, and analysis of client ticketing data, which is crucial for constructing and improving machine learning models. You'll build scalable machine learning pipelines and develop clear data visualizations to present findings and technical decisions to subject matter experts, stakeholders, and clients. Identifying areas for improvement in our pricing model and collaborating with a diverse team including executives, product managers, software engineers, and fellow data scientists will be key responsibilities.

Qualifications

1. A master’s or PhD degree in a quantitative field (Computer Science, Machine Learning, Statistics, Mathematics, or Engineering) or equivalent experience. 2. A minimum of 4years of experience using advanced mathematics and/or machine learning techniques to address real-world challenges. 3. At least 4years of experience in data manipulation, analysis, and visualization using Python. 4. Proficiency in data science and statistics libraries such as Pandas, Matplotlib, and Scikit-learn. 5. A minimum of 4years of experience with databases and software development. 6. Excellent communication skills, both verbal and written. 7. Ability to effectively present complex technical insights to subject matter experts.

Benefits

- Flexible paid time off - Parental leave - Remote employment - Retirement contributions (401k) - Performance-based bonuses - Paid professional development opportunities