Senior Marketing Data Scientist

Summary: • The main function of the Data Scientist is to produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. Job Responsibilities: • Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions and make valuable discoveries leading to prototype development and product improvement. • Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data. • Generate and test hypotheses and analyze and interpret the results of product experiments. • Work with product engineers to translate prototypes into new products, services, and features and provide guidelines for large-scale implementation. • Provide Business Intelligence (BI) and data visualization support, which includes, but limited to support for the online customer service dashboards and other ad-hoc • requests requiring data analysis and visual support. Skills: • Experienced in either programming languages such as Python and/or R, big data tools such as Hadoop, or data visualization tools such as Tableau. • The ability to communicate effectively in writing, including conveying complex information and promoting in-depth engagement on course topics. • Experience working with large datasets. Education/Experience: • Master of Science degree in computer science or in a relevant field. Minimum Years of Experience: • 8+ Must-Have Skills: • Programming Proficiency • Strong experience in Python and/or R for data analysis and modeling. • Statistical & Machine Learning Expertise • Deep understanding of statistics, machine learning, data modeling, simulation, and advanced mathematics. • Experience with Large Datasets • Ability to work with complex, high-dimensional, and large-scale data. • Experience as a Marketing Data Scientist Nice-to-Have Skills: • Big Data Tools • Familiarity with Hadoop or similar big data platforms. • Data Visualization • Experience with tools like Tableau for creating dashboards and visualizations. • Effective Written Communication • Ability to convey complex information clearly and engage others in technical discussions. • Ads Manager experience is a bonus Screening Process: • Round 1: Screening (30 minutes with the hiring manager) • Round 2: Technical Interview 45 minutes focused on data skills • Round 3: Communication Round 30 minutes assessing communication abilities