Opportunity to work with latest technologies|Opportunity to work with an industry leader
About Our Client
The client is a global software provider to TSPs who use our technology to support over 1 million businesses globally. They are owned by a leading Private Equity company with a track record of backing high growth and profitable software companies.
Job Description
Transform business to be SAAS platform through real time metrics and indicators on churn, downgrade and upsell opportunities
Work with the product team to develop Data as a Service for new product offerings
Establish baseline/KPIs, pull together disparate data sources and enrich data as needed to create a feature store to be used in repeated experimentation. Use it to build dashboards, and performance metrics that support key business decisions.
Find opportunities for and assist in developing experiments and predictive models to increase product acquisition, retention, expansion, and monetization.
Anticipate future demands of initiatives related to product data and design/implement solutions to meet these needs.
The Successful Applicant
Professional with 7+ Years of Experience in Core Analytics and Data Science
Expertise in SQL and Power BI
Strong experience with common Python libraries (Pandas, NumPy, SciKit-Learn, Seaborn, etc.)
Good communication skills and ability to manage global stakeholders
Ability to build predictive models
Experience with Data Science and Engineering platforms (Dataiku, SageMaker, DBT and Git)
What's on Offer
Opportunity to join a scale up team to overhaul the data practices of a high growth, highly profitable global SaaS business