Senior Data Scientist

Senior Data Scientist Location: work in the heart of San Francisco, New York, Seattle, or Little Rock Need to work PST time Rate – DOE Note – This is a Product company, and they build a complex Market Analysis platform for very large clients, mostly related to Market -Media Domain specialization US Citizen, Green Card, GC EAD, and H4 EAD only, No Third-party agencies, Corp to Corp You will: • Lead measurement initiatives; develop KPIs and learning plans for customers in support of their marketing objectives. • Develop, implement, and maintain analytics systems, tools, and frameworks that enable efficient analysis for customers. • Design approaches for observational analytics, including mining multi-dimensional datasets, and experimental methods to build templates and libraries of analysis that can scale across various customer use cases and verticals. • Consult and advise clients and internal teams on audience strategy, experimental design, data requirements gathering, and post-campaign measurement using statistical and mathematical concepts to drive business solutions and actionable recommendations. • Get hands-on with customer data to drive insights, answer key business questions, and enable campaign optimization. • Identify and communicate areas to improve effectiveness, efficiency, and productivity. • Create compelling presentations and effectively communicate complex analytical concepts to business and technical audiences. • Speak and present both internally and externally, leveraging data to tell a story. • Build up a strong understanding and expert knowledge of the various data sources brought together for data enrichment and collaboration. • Work directly with customer stakeholders to gather requirements, communicate updates and findings, and build relationships. Your team will: • Work closely with product and engineering teams to support and understand the cloud infrastructure that runs the models. • Dive deep with internal and external clients to understand their measurement and analytical needs and translate them into product improvements. • Help design new offerings in the analytical space. About you: • Bachelors with 10-15+ years of experience, Masters with 3+ years of experience, or PhD with 0-2 years of experience in a data science related field (mathematics, statistics, computer science, etc.). • Strong command of probability and statistics. • Fluency in data and statistical analysis using SQL, Python, and PySpark. • Strong command of data science toolkits (Pandas, NumPy, scikit-learn, etc.) • Understanding of cloud platforms (AWS, GCP, etc.) and relational databases. • Familiarity with fundamentals of randomized-controlled trials, A/B testing, and mar-tech/ad-tech measurement. • Strong understanding of large-scale data analysis, fine-tuning of Spark jobs, and optimizing Spark SQL/PySpark models. • Knowledge of Business Intelligence tools to build visualizations. • High EQ.