Data Scientist – Analytics Data Product, Mid-Level

Responsibilities:

Leverage machine learning techniques and generative AI to outreach customers based on their life cycle stage, behavioral patterns, and purchase history.
Perform text mining and insight analysis of real-time customer conversations and make the model learn and recommend the solutions.
Partner with product management and technical leadership to identify opportunities to innovate customer journey experiences.
Identify new areas of investment and work to align product roadmaps to deliver on these opportunities.
Design and lead large projects and experiments from beginning to end, and drive solutions to complex or ambiguous problems.
Use broad expertise to recommend the right strategies, methodologies, and solve challenges using statistical modeling, machine learning, optimization, and/or other approaches for quantifiable impact on the business.
Build models that measure incremental value, predict growth, define and conduct experiments to optimize engagement of AB customers, and communicate insights and recommendations to product, sales, and finance partners.
Work with Technical Product Managers, Data Engineers, other Scientists, and Salesforce developers, to build new and enhance existing ML models to optimize customer experience.
Prototype and test new ideas, iterate quickly, and deploy models to production.
Conduct in-depth data analysis and feature engineering to build robust ML models.

Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science
5+ years of data scientist experience
5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
Experience with statistical models e.g. multinomial logistic regression