Senior Data Scientist

The Senior Data Scientist will be at the forefront of refining and developing financial reports, dashboards, and metrics for financial results & planning. Utilizing your expertise in data analysis, mining, and machine learning, you’ll unveil valuable insights, construct predictive models, and shape the future of data science within FP&A. We’re seeking someone intellectually curious, naturally analytical, and driven to create value in every aspect of their work. As a liaison between FP&A and the Business Intelligence team, your objective perspective will guide us towards well-informed decisions, understanding trends, anomalies, and customer behaviors.

What you can expect to do in this role:

• Generate insightful reports, dashboards, and presentations summarizing findings, insights, and recommendations for senior management, ensuring adherence to established standards.
• Develop robust KPIs and metrics models for forecasting and tracking company performance.
• Collaborate closely with FP&A and Business Intelligence teams to seamlessly integrate data science solutions into monthly and ad hoc processes.
• Provide timely ad hoc data and analysis requests.
• Develop and maintain predictive models to assess risks and provide strategic insights for financial forecasting.
• Continuously improve and automate data extraction, reporting, and insights processes.
• Contribute to pricing initiatives by establishing and managing datasets specifically tailored for FP&A pricing analysis.
• Keep up to date with the latest advancements in data science and technology to suggest and execute innovative solutions.
• Pursue professional growth by actively seeking and acting on performance feedback, fostering collaborative relationships, and implementing improvements.

What we are looking for:

• Minimum of 4 years of proven work experience in data science and analytics/visualizations. (Required)
• Experience in partnering with finance or working on a finance team. (Required)
• Proficient in analyzing extensive datasets to extract valuable insights using your experience in data extraction and data mining.
• Highly skilled in utilizing analytical and data visualization tools, such as Python, SQL, Excel, Domo, and BI Tools.
• Outstanding ability to communicate and collaborate, effectively translating technical findings for non-technical audiences.
• Adaptability to changing priorities and effectiveness in fast-paced environments.
• Strong project management and multitasking abilities.
• Excellent analytical and problem-solving skills.

Education & Certifications

• Bachelor’s degree in Business, Economics, Statistics, Data Science, Mathematics, Engineering or related field. (Required)