System One - Pittsburgh, PA
posted 3 months ago
The Quantitative Analyst/Data Analytics position is primarily focused on producing innovative solutions through exploratory data analysis of complex and high-dimensional datasets. This role requires a strong foundation in statistics, machine learning, programming, data modeling, simulation, and advanced mathematics. The analyst will be responsible for recognizing patterns, identifying opportunities, posing business questions, and making valuable discoveries that lead to prototype development and product improvement. In this role, the analyst will utilize a flexible and analytical approach to design, develop, and evaluate predictive models and advanced algorithms, ensuring optimal value extraction from the data. The position involves generating and testing hypotheses, analyzing and interpreting the results of product experiments, and collaborating with product engineers to translate prototypes into new products, services, and features. Additionally, the analyst will provide guidelines for large-scale implementation and support Business Intelligence (BI) and data visualization efforts, including online customer service dashboards and other ad-hoc data analysis requests. The ideal candidate will have experience with programming languages such as Python and/or R, big data tools like Hadoop, and data visualization tools such as Tableau. Effective communication skills, both written and verbal, are essential for conveying complex information and engaging with stakeholders. The role is entry-level to mid-level, requiring a Master of Science degree in computer science or a relevant field, or equivalent work experience, along with 0 to 3 years of relevant experience. A background in risk resilience or IT operations is preferred, with a statistical background considered a nice-to-have.