**Responsibilities**:
- Conducts strategic data analysis, identifies insights and implications and make strategic recommendations, develops data displays that clearly communicate complex analysis.
- Mines and analyzes data from various banking platforms to drive optimization and improve data quality.
- Deliver analytics initiatives to address business problems with the ability to determine data required, assess time & effort required and establish a project plan.
- Consults with business clients to determine system functional specifications.
Applies comprehensive understanding of how multiple areas collectively integrate to contribute towards achieving business objectives.
- Consults with users and clients to solve complex system issues/problems through in-depth evaluation of business processes, systems and industry standards; recommends solutions.
- Formulates and defines systems scope and objectives for complex projects through research and fact-finding combined with an understanding of applicable business systems and industry standards.
- Impacts the business directly by ensuring the quality of work provided by self and others; impacts own team and closely related work teams.
- Drives communication between business leaders and IT; exhibits sound and comprehensive communication and diplomacy skills to exchange complex information.
- Performs other duties and functions as assigned.
**Qualifications**:
- 5-8 years experience in business and data analysis, process improvement and project management
- Ability to effectively use complex analytical, interpretive and problem solving techniques.
- Demonstrated interpersonal, verbal and written communication skills.
- Methodical attention to detail




- Experience using tools for statistical modeling of large data sets
**Education**:
- Bachelor's/University degree or equivalent experience
This job description provides a high-level review of the types of work performed.
Other job-related duties may be assigned as required.
**Function Overview**:
This role resides within the Data & Analytics Organization, responsible for delivering best in class data science, through robust data infrastructure and analytic solutions for customer level personalization and high relevance business impact initiatives.
As a Data Scientist, you will deliver solutions through predictive models to several areas of the bank.
**Key Responsibilities**:
- Design, plan and lead Machine Learning Models for credit and non-credit products, segments, and customer experience
- Data cleansing
- Feature engineering
- Modeling (Machine learning and statistical models)
- Model Documentation
- Model Validation
- Ongoing Monitoring
- Delegate and supervise tasks as Database management & analysis
- Responsible for management and administrative team work.
- Decision-making; Making proper and right decisions for problem development.
- Ability to see an entire concept, analyze and diagnose a problem, and find creative solutions
- Teamwork.
Ability to interact,



work or relate effectively with other teams and communicate effectively.
**Requirements**:
- Bachelor's degree in mathematics, actuarial sciences, computer science, physics, engineering or equivalent.
Master's degree (Desirable)
- 4+ years of experience and skills managing and/or roles as leader.
- English level: Written and speaking advanced.
- 3+ years of experience developing and implementing Machine Learning and classical statistical models: Linear regression, logistic regression, classification and regression trees, random forest, gradient boosting machine, etc.
- Advanced Knowledge of data visualization techniques, exploratory analysis, multivariate statistics.
- Advanced level of programming languages and modeling software such as R, Python, Spark, SAS, SQL, and must embrace new technologies and analytical methodologies.
- Background and experience in advising internal and external customers about solutions will find a home in the Big Data world.
- Negotiation, leadership and communication (storytelling and data visualization) skills.
**Skills**:
- Project management skills (Project organization, prioritization and negotiation)
- Leadership and management skills
- Solving business needs leveraging statistical tools**Job Family Group**:
Technology
- **Job Family**:
Data Science
- **Time Type**:
Full time
- **Most Relevant Skills**
Please see the requirements listed above.
- **Other Relevant Skills**
For complementary skills, please see above and/or contact the recruiter.
-
- View Citi's _EEO Policy Statement_ and the _Know Your Rights_ poster._

📌 Banamex Data Science Senior AnalystCiudad De Mexico (Xico)
🏢 Citi
📍 Xico