Ascendion
Data Scientist
AscendionBrazil3 days ago
ContractEngineering, Information Technology

Ascendion is a full-service digital engineering solutions company. We make and manage software platforms and products that power growth and deliver captivating experiences to consumers and employees. Our engineering, cloud, data, experience design, and talent solution capabilities accelerate transformation and impact for enterprise clients. https://ascendion.com/


We are seeking a Data Scientist to drive advanced analytics initiatives within our CX Regional Hub. If you are passionate about machine learning, recommendation systems, and transforming sales data into actionable business insights, this opportunity is for you.


Required Technical Skills

  • +3 years of experience in Data Science or Machine Learning roles
  • Strong proficiency in Python and SQL
  • Experience with ML libraries (scikit-learn, XGBoost, TensorFlow, or PyTorch)
  • Familiarity with cloud platforms (e.g., Azure) and data engineering concepts
  • Experience with data visualization tools (Power BI or Tableau)
  • Hands-on experience building Predictive Models and Recommendation Systems
  • Experience working with sales data and customer behavior analytics
  • Knowledge of Customer Segmentation & Churn Analysis


What You’ll Do

  • Build and deploy machine learning models for personalized product recommendations
  • Develop predictive models to identify churn and lapsed operators
  • Create operator value prediction models using historical secondary sales data
  • Perform deep data exploration and feature engineering to improve model performance
  • Adapt and implement models to support EOTM strategies
  • Collaborate with CX, Sales, Marketing, and Tech teams to align data science solutions with business goals
  • Apply best practices in ML model development, validation, and deployment


Want to change the world? Let us know.

  • Tell us about your experiences, education, and ambitions. Bring your knowledge, unique viewpoint, and creativity to the table. Let’s talk!

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