Business Data Scientist, Finance

Role Overview: As a Quantitative Analyst, you will be responsible for analyzing large data sets and building expert systems to enhance the understanding of the Web and improve product performance. Your role will involve conducting complex statistical analysis on non-routine problems and collaborating with engineers to integrate models into production systems. Additionally, you will need to adapt to rapidly changing business priorities and engage with product managers and engineers.

Key Responsibilities: - Partner with Finance leadership and their teams to gain insights and create prototypes based on business context. - Work with Machine Learning Scientists and Engineers to enhance the usability of Machine Learning models by designing appropriate metrics. - Collaborate with Machine Learning Scientists to refine and develop models, including identifying new data sources, conducting hypothesis testing, performing feature engineering, prototyping models, analyzing model output, and ensuring model explainability. - Provide analyses using advanced analytics and statistical methods that communicate business insights effectively. - Develop robust and reusable analytic frameworks to ensure consistent outcomes across various business areas. - Contribute to fostering a culture of learning, knowledge sharing, and making Machine Learning accessible to the broader team and stakeholders.

Qualifications Required: - Bachelor's degree in Statistics, Economics, Mathematics, or a related quantitative discipline, or equivalent practical experience. - Minimum 5 years of experience in the industry as a Data Analyst or in a Data Science role, involving the analysis of data sets to solve business problems through statistical methods and predictive analytics. - Experience in data analysis, particularly for time series data, within complex, fast-paced, and ambiguous business environments, demonstrating strong data intuition and business acumen. - Previous experience in stakeholder-facing or client-facing roles, such as consulting. - Proficiency with statistical software like Python, database languages such as SQL, and data visualization tools like Tableau. - Excellent communication skills, both written and verbal, to effectively translate technical solutions and methodologies to leadership.

(Note: The additional details of the company were not specifically mentioned in the job description provided.) Role Overview: As a Quantitative Analyst, you will be responsible for analyzing large data sets and building expert systems to enhance the understanding of the Web and improve product performance. Your role will involve conducting complex statistical analysis on non-routine problems and collaborating with engineers to integrate models into production systems. Additionally, you will need to adapt to rapidly changing business priorities and engage with product managers and engineers.

Key Responsibilities: - Partner with Finance leadership and their teams to gain insights and create prototypes based on business context. - Work with Machine Learning Scientists and Engineers to enhance the usability of Machine Learning models by designing appropriate metrics. - Collaborate with Machine Learning Scientists to refine and develop models, including identifying new data sources, conducting hypothesis testing, performing feature engineering, prototyping models, analyzing model output, and ensuring model explainability. - Provide analyses using advanced analytics and statistical methods that communicate business insights effectively. - Develop robust and reusable analytic frameworks to ensure consistent outcomes across various business areas. - Contribute to fostering a culture of learning, knowledge sharing, and making Machine Learning accessible to the broader team and stakeholders.

Qualifications Required: - Bachelor's degree in Statistics, Economics, Mathematics, or a related quantitative discipline, or equivalent practical experience. - Minimum 5 years of experience in the industry as a Data Analyst or in a Data Science role, involving the analysis of data sets to solve business problems through statistical methods and predictive analytics. - Experience in data analysis, particularly for time series data, within complex, fast-paced, and ambiguous business environments, demonstrating strong data intuition and business acumen. - Previous experience in stakeholder-facing or client-facing roles, such as consulting. - Proficiency with statistical software like Python, database languages such as SQL, and data visualization tools like Tableau. - Excellent communication skills, both written and verbal, to effectively translate technical solutions and methodologies to leadership.

(Note: The additional details of the company were not specifically mentioned in the job description provided.)