Senior Data Scientist

Detailed Description: Manager call outs: • Sales/Marketing or Ads Ecosystem background preferred • Marketing Data Scientist experience is a plus • Solid grasp of advertising practices and marketing KPIs • Ads Manager experience is highly desirable • Health metrics design experience is helpful 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. Minimum Years of Experience - 8+ years Must-Have Skills: 1. Programming Proficiency - Strong experience in Python and/or R for data analysis and modeling. 1. Statistical & Machine Learning Expertise - Deep understanding of statistics, machine learning, data modeling, simulation, and advanced mathematics. 1. Experience with Large Datasets - Ability to work with complex, high-dimensional, and large-scale data. 1. Experience as a Marketing Data Scientist Nice-to-Have Skills: 1. Big Data Tools - Familiarity with Hadoop or similar big data platforms. 1. Data Visualization - Experience with tools like Tableau for creating dashboards and visualizations. 1. Effective Written Communication - Ability to convey complex information clearly and engage others in technical discussions. 1. Ads Manager experience is a bonus Education: Preferred - Master of Science degree in computer science or in a relevant field Related Job Titles/Keywords - Marketing Science, Marketing Insights, Data Chops Certain project that team is working on / what products are they supporting: • Developing innovative solutions using advanced analytics and machine learning. • Prototyping new products and features based on data-driven insights. • Supporting online customer service dashboards and other business intelligence initiatives. Any companies they would like to see on resumes • Former client experience • Nielsen • Analytic Partners • Other major marketing measurement firms About the Team: This team specializes in leveraging data science to drive product innovation and improvement. They work closely with engineering and business partners to turn complex data into actionable insights, prototypes, and scalable solutions. Their focus is on advanced analytics, predictive modeling, and supporting business intelligence needs across the organization. How will progress be evaluated? • Timely delivery of key metrics and reports • Consistent maintenance and accuracy of dashboards • Ensuring all projects and tasks stay on track • Demonstrating strong expertise with the Ads platform What challenges should the ideal candidate expect in this role, and how can they help address them? • Adapting quickly to data processes and an agile work environment • Managing stakeholders effectively • Proactively collaborating with other teams and maintaining strong communication Candidate Value Proposition: • You’ll join a highly respected team that others rely on for expertise and solutions. • The role offers broad opportunities to make a meaningful impact across the organization. • There’s significant room for growth and development, with a long runway ahead. • The position involves plenty of critical thinking and problem-solving, making it both challenging and rewarding. Interview Process: 3 Rounds • 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