Senior Data Scientist

Senior Data Scientist
Location: remote is ok
Need to work PST time

Note – This is a Product company and they build complex Market Analysis platform for very large clients mostly related to Market -Media Domain specialization

Senior Data Scientist
● 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, Google Cloud Platform, 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.