Role Overview
Join our Customer Data & Portfolio Analytics organization as a Data Scientist to develop and deploy advanced analytics, machine learning, and AI solutions that drive customer growth, retention, and portfolio optimization.
What You Will Do
Design, train, and deploy machine learning models in production environments, develop predictive models for attrition, cross-sell propensity, and customer segmentation, and communicate actionable insights to business and senior leadership teams.
Why It Might Be a Fit
The ideal candidate has 4-5 years of experience in Data Science, Machine Learning, Advanced Analytics, or related fields, strong proficiency in Python and SQL, and experience working with large-scale customer, transaction, sales, or operational datasets.
Requirements
- 4-5 years of experience in Data Science, Machine Learning, Advanced Analytics, or related fields
- Strong proficiency in Python and SQL
- Proven experience developing, deploying, and maintaining production-grade machine learning models in production environments
- Experience in customer analytics, portfolio management, commercial analytics, CRM analytics, marketing analytics, or customer lifecycle management
- Experience building predictive analytics solutions such as attrition/churn models, propensity models, customer segmentation, recommendation systems, forecasting solutions, customer lifetime value models, or Next Best Action frameworks
- Strong understanding of machine learning, statistical modeling, feature engineering, and model validation
- Experience with modern data science platforms such as Databricks, Snowflake, AWS SageMaker, or similar cloud environments
- Familiarity with MLOps practices including version control, model monitoring, and deployment processes
- Experience or exposure to AI/GenAI solutions using LLMs, NLP, or related technologies to solve complex business problems
- Experience working with large-scale customer, transaction, sales, or operational datasets
- Experience with experimentation, A/B testing, uplift analysis, or impact measurement is highly desirable
- Financial Services, Payments, FinTech, Banking, or related industry experience is preferred
To apply for this job please visit tsys.wd1.myworkdayjobs.com.
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