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.
**Qualifications:**
+ Bachelors degree in mathematics, actuarial sciences, computer science, physics, engineering or equivalent. Masters 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.
**Education:**
+ Bachelors/University degree or equivalent experience
**Skills:**
+ Project management skills (Project organization, prioritization and negotiation)
+ Leadership and management skills
+ Solving business needs leveraging statistical tools
+ Teamwork
+ Ability to take ownership of Data Science project or initiative
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:**
+ Bachelors degree in mathematics, actuarial sciences, computer science, physics, engineering or equivalent. Masters 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.
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**Job Family Group:**
Decision Management
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**Job Family:**
Business Analysis
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**Time Type:**
Full time
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Citi is an equal opportunity and affirmative action employer.
Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
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Citi is an equal opportunity and affirmative action employer.
Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.
