As a Senior Data Scientist on our Go-To-Market Operations team, you will have the ability to jump into a diverse set of projects, using your data analytics experience to collaborate with teams internally to provide a consultative experience to customers to offer technical solutions.

In this role, you will: Study new data sources and find insights/correlation to investigate how data can be used to solve new business challenges

• Create prototypes with data sets and provide guidance on leveraging and combining new data sources for new business insights
• Heavily contribute to the end-to-end predictive solution provision process, which includes but not limited to, technical evaluation of data usage, methodological selection, model development and creation/maintenance of post-deployment monitoring capability.
• Actively participate the feedback loop among different stakeholder groups to address newly emerging issues in a timely and constructive manner
• Collaborate with upper management to evaluate the impact of proposed solutions and incorporates these considerations into recommendations.
• Apply statistical analysis and modeling techniques on small and large datasets to solve specific business problems in diverse industrial domains
• Provide strategic leadership in selection of platform, tools, techniques and processes in the practice of Data Science discipline
• Work collaboratively with Product Owners/Product Managers from other business units and/or customers to translate business requirements into technical requirements that can be answered with statistical and machine learning techniques
• Provide mentorship to other Data Scientists in the team
• Own and drive contemporary best practices in applying and deploying data science at scale

You will have:

• 4+ years and expert knowledge of statistical programming languages such as R, Python, and SQL
• Readiness to work with engineering teams to develop a prototypes of software products leveraging exploratory data analytics
• Consultative experience providing technology and solution consultation to customers/clients
• Experience and knowledge of Analytical platforms and tools, especially from Snowflake, Amazon, Microsoft or ML Studios
• Knowledge of data visualization, using tools such as Tableau or PowerBI
• Experience developing and deploying on Snowflake, Amazon AWS, Microsoft Azure, IaaS/PaaS cloud infrastructure

Ideally, you will have:

• Experience delivering data science components as part of a commercial solution at scale preferably at SaaS space
• Experience building operations analytics models, including demand forecasting, pipeline automation using , Account Health and Adoption
• Experience executing customer advanced analytics, including marketing mix analysis, segmentation, retention modeling, targeted marketing, basket analysis, and next product recommendation
• Bachelors or Master's Degree in Engineering, Science, or Mathematic.
• Machine Learning/Artificial Intelligence methodologies preferred but not required.