The data science analyst 2 is a developing professional role. Applies specialty area knowledge in monitoring, assessing, analyzing and/or evaluating processes and data. Identifies policy gaps and formulates policies. Interprets data and makes recommendations. Researches and interprets factual information. Identifies inconsistencies in data or results, defines business issues and formulates recommendations on policies, procedures or practices. Integrates established disciplinary knowledge within own specialty area with basic understanding of related industry practices. Good understanding of how the team interacts with others in accomplishing the objectives of the area. Develops working knowledge of industry practices and standards. Limited but direct impact on the business through the quality of the tasks/services provided. Impact of the job holder is restricted to own team.responsibilities:mines and analyzes data from various banking platforms to drive optimization and improve data qualityconsults with business clients to determine system functional specifications. Applies comprehensive understanding of how multiple areas collectively integrate to contribute towards achieving business objectivesconsults with users and clients to solve complex system issues/problems through in-depth evaluation of business processes, systems and industry standards; may recommend solutionsformulates and defines systems scope and objectives for complex projects through research and fact-finding combined with an understanding of applicable business systems and industry standardsimpacts the business directly by ensuring the quality of work provided by self and others; impacts own team and closely related work teamsconsiders the business implications of the application of technology to the current business environmentdrives communication between business leaders and it; exhibits sound and comprehensive communication and diplomacy skills to exchange complex informationperforms other duties and functions as assignedappropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.qualifications:0-2 years experience using tools for statistical modeling of large data setsability to effectively use complex analytical, interpretive and problem solving techniquesanalytical, flexible, team-oriented and has good interpersonal/communication skillsdemonstrated influencing, facilitation and partnering skillsproficient in microfsofteducation:bachelor's/university degree or equivalent experiencethis job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.conocimientos en programación.experiencia implementando soluciones de alto volumen de datos.conocimiento en estadística y probabilidad.conocimiento de modelos de machine learning.lenguajes de programación: sql (1 año), python, (2 años) pyspark. 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. Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.if you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review accessibility at citi.view citi's eeo policy statement and the know your rights poster.