Data Scientist - Marketing/Advertising Job at Redolent Infotech Pvt. Ltd. in San

One of our direct clients is urgently looking for a Data Scientist @ San Bruno, CA TITLE: Data Scientist - Marketing/Advertising LOCATION: San Bruno, CA Duration: 6 to 12+ Months Client inputs Marketing Mix model or media experience Strong Python programming Good statistical background PhD degree preferred (not must) Past experience with Media Analytics company is desired A/B testing a plus Description: We are seeking an experienced data science individual contributor to enable deep insights and capabilities to our clients through advanced analytics and machine learning techniques (e.g. predictive modeling, segmentation, etc). Responsibilities: Perform hands-on modeling and complex analyses using Python, SQL and/or R. Build and enhance media mix models to connect the impact of marketing tactics and business short-term and long-term outcomes. Run optimization and simulation scenarios to help provide the marketing investment and allocation recommendations to Marketing leadership and CMO. Present media mix insights to different levels of senior clients. Explain complex modeling approaches in simple terms and develop compelling narratives that connect modeling results with business problems. Partner with cross-functional teams to streamline data science solutions. Integrate disparate data sources and leverage state-of-the-art analytics best practices in order to deliver integrated actionable insights to partners and senior leadership around digital marketing optimization. Minimum Qualifications: Master's degree in statistics, economics, operations research, engineering, or related field. 6+ years of industry experience in data science, measurement, marketing strategy & analytics. Strong communication skills to ‘tell a story’ that provides insight into the business. Proficient coding skills (SQL/Python/R) and database knowledge. Extensive experience with predictive modeling algorithms. Strong project management skills, including managing technical resources and multiple priorities & milestones. You have a passion for working in a fast-paced agile environment. A collaborative mindset and sense of curiosity. Preferred Qualifications: PhD degree in Statistics, Economics, Operations Research, or related field. Experienced in building market mix and multi-touch attribution models. Experience with advertising, measurement, and/or digital marketing analytics. Experience with advertising technology platforms: Ad servers, DSPs, DMPs, etc. Advanced programming skills with experience of creating Python modules. Experience with A/B and Multivariate test design and implementation. #J-18808-Ljbffr In Summary: One of our direct clients is urgently looking for a Data Scientist - Marketing/Advertising LOCATION: San Bruno, CA . Responsibilities: Perform hands-on modeling and complex analyses using Python, SQL and/or R . Build and enhance media mix models to connect the impact of marketing tactics and business short-term and long-term outcomes . En Español: Uno de nuestros clientes directos está buscando con urgencia un científico de datos @ San Bruno, CA TITLE: Data Scientist - Marketing/Advertising LOCATION: SAN BRUNO, CA Duración: 6 a 12 meses + Introducciones del cliente Modelo de marketing Mix o experiencia en medios Strong Python programación Un buen trasfondo estadístico título de doctorado preferido (no es obligatorio) Experiencia previa con la empresa Media Analytics se desea pruebas A / B y más Descripción: Buscamos un colaborador individual experimentado en ciencias de datos para proporcionar conocimientos profundos y capacidades a nuestros clientes mediante técnicas avanzadas de análisis y aprendizaje automático (por ejemplo, modelado predictivo, segmentación, etc). Responsabilidades: Realizar modelos y análisis complejos utilizando Python, SQL y/o R. Construir e mejorar los modelos de mix de medios para conectar el impacto de las tácticas de marketing y las estrategias empresariales a corto y largo plazo. Calificaciones mínimas: Máster en estadística, economía, investigación de operaciones, ingeniería o campo relacionado. 6+ años de experiencia en la industria en ciencia de datos, medición, estrategia de marketing y análisis. Fuertes habilidades de comunicación para contar una historia que proporcione información sobre el negocio. Competencias expertas en codificación (SQL/Python/R) y conocimiento de base de datos. Extensa experiencia con algoritmos de modelado predictivo. Forta capacidad de gestión de proyectos, incluida la administración de recursos técnicos y múltiples prioridades y hitos. Tiene pasión por trabajar en un entorno ágil a ritmo acelerado. Una mentalidad colaborativa y sentido de curiosidad. Qualificaciones preferidas: doctorado en Estadísticas, Economía, Investigación de Operaciones o área relacionada.