Job description

  • 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

Contact: Ayan Khastgir

Quote job ref: JN-092023-6183426

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