Job description

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:
Understand business challenges and propose new modeling and algorithmic solutions that leverage the latest in statistical and machine learning techniques
  • 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
  • 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 contemporary Machine Learning and/or 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
  • Knowledge of Experimental Design and Statistical Decision Theory

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 Machine Learning/Artificial Intelligence methodologies, 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 Degree in Engineering, Science, or Mathematics preferred

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