Data Scientist

The TTS Analytics team provides analytical insights to the Product, Pricing, Client Experience and Sales functions within the global Treasury & Trade Services business. The team works on business problems focused on driving acquisitions, cross-sell, revenue growth & improvements in client experience.

Requirements

• Bachelor’s or Master’s Degree with 5-8 years of experience in data science and analytics
• Marketing analytics experience
• Experience on business problems around sales/marketing strategy optimization, pricing optimization, client experience, cross-sell and retention
• Strong hands-on knowledge of Data Science and Machine Learning, including supervised learning algorithms (both Classification and Regression) such as Linear Regression, Random Forest, XGBoost, Support Vector Machines, etc.
• Experience building and deploying time series models for forecasting and anomaly detection
• Experience with unstructured data analysis, e.g., call transcripts, using Natural Language Processing (NLP)/Text Mining techniques
• Experience building end-to-end machine learning pipelines, including data preprocessing, feature engineering, model training, evaluation, and deployment
• Ability to understand complex business problems, break them down into simpler solvable parts and develop analytical approaches to tackle them
• Strong logical reasoning and problem-solving ability
• Proficient in converting business problems into analytical tasks, and analytical findings into business insights
• Proficient in identifying trends and patterns with data
• Ability to work hands-on to retrieve and manipulate data from big data environments
• Proficient in Python/R, PySpark, SQL
• Proficient with ML libraries such as Scikit-learn, TensorFlow and PyTorch
• Proficient in MS Excel, PowerPoint

Benefits

• Citi is an equal opportunity employer