Data Scientist Jr

Apply specific knowledge in the analysis and evaluation of processes and data. Interprets data and make recommendations. Develop supervised and unsupervised predictive models for use in marketing and risk. Identify inconsistencies in data and results. Defines business problems, and makes recommendations on policies, procedures or practices. Develops a working knowledge of industry practices and standards. as a limited but direct impact on the company, through the quality of the tasks or services provided.


Responsibilities:

• Work with complex and voluminous data sets (internal and external data) to evaluate, recommend and support the implementation of business strategies.
• Develop of commercial and risk predictive models.
• Identify and compile data sets using a variety of tools (e.g., SQL, Python) to help predict, improve and measure the success of key outcomes.
• Be responsible for documenting data requirements, data collection, processing, cleaning and exploratory data analysis; may include the use of statistical models/algorithms and data visualization techniques.
• Possibility of specialization in the fields of marketing, risk, digital and prevention of money laundering (anti-money laundering, AML).
• Appropriately assess risk when making business decisions, demonstrating particular consideration for the company's reputation and protecting Citigroup, its clients and assets, by encouraging 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 sets
• Ability to effectively use complex analytical, interpretive and problem solving techniques
• Analytical, flexible, team-oriented and has good interpersonal/communication skills
• Demonstrated influencing, facilitation and partnering skills
• Advanced Excel
• Experience in Spark,python (pandas, scikit learn)
• Intermediate-advanced English

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.

Licenciatura en física, matemático, actuario,  Ciencias de la Computación, Ingeniería Informática, Análisis de Datos, Sistemas de Información.

Deseable: Experiencia laboral Data Scientist Jr.

Technical Skills / Knowledge:

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) java Script (1 año),

Ingles intermedio.

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