Sr Data Scientist

This job will lead the development and implementation of advanced data science models and algorithms. You will work with stakeholders to understand requirements and deliver solutions. Your role involves driving best practices in data science, ensuring data quality, and mentoring junior scientists.

Job Duties: Leverage data and analytics to drive strategy and initiatives while taking end-to-end ownership of key projects. Perform deep dive analyses on key business trends from multiple perspectives and package the insights into easily consumable presentations. Make data visually appealing and simple to both navigate and comprehend for end-users. Identify key metrics and drive the building of exec-facing dashboards to track the progress of the business and its highest priority initiatives. Identify key business levers, establish cause and effect, and communicate key findings to various stakeholders to facilitate data driven decision-making. Engage in problem-solving with Risk, Product, Marketing, Design, Engineering and various other teams to determine performance trends and root causes. Design hypothesis-driven experiments; support new product launches by establishing test and control plans, providing cohesive and comprehensive recommendations based on test outcomes, and ensuring constant monitoring is in place to track product performance. Create close relationships with stakeholders to anticipate and answer questions that might be asked by executives. Combine findings to convey clear insights, and analyze large, complex, multi-dimensional data sets. Solve problems analytically and create actionable recommendations. Establish and promote best practices in analytics instrumentation and experimentation. Manage multiple projects simultaneously in a fast-paced, results-driven environment. Partial telecommuting permitted from within a commutable distance.

Additional Responsibilities & Preferred Qualifications: Minimum Requirements: Master's degree, or foreign equivalent, in Data Science, Business Analytics, Statistics, or a closely related field, plus three years of experience in the job offered or a related occupation.

Special Skill Requirements:

• Experience using SQL and at least one scripting language: Python or R, for processing large, complex, and messy datasets.
• Experience designing and reading out A/B Testing or hypothesis testing to inform product decisions and new experience launches.
• Experience with Product Analytics to conduct funnel analysis, user segmentation, and identify growth opportunities.
• Experience with reporting tools: Tableau, Looker, or Excel.
• Experience defining, measuring, and monitoring key business and product KPIs.
• Experience partnering with leadership engineers, product managers, and data engineers to understand business needs and how these can be addressed through analytics.
• Experience in Statistical Modeling - including regression, time-series forecasting, and classification models , to quantify impact, predict outcomes, and support strategic decision-making.
• Experience translating complex problems into simpler terms, and effectively influencing both peers and senior leadership.