Python and PySpark Machine Learning Data Scientist

The Spec Analytics Analyst 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, build predictive models that can support business decisions. 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.

Responsibilities:

- Incumbents are required to work with large and complex data sets using a variety of tools (Python, PySpark, SQL, R etc.) to build modeling solutions for various business requirements

- Primary focus areas would be Model building, model validations, model implementation and model governance related responsibilities for multiple portfolios

- Incumbents in this role may often be referred to as Data Scientists

- Specialization in marketing, risk, digital and AML fields possible

- The analyst will work with other members in the team and business partners to jointly build model driven solutions using traditional methods (Linear, Logistic, Segmentation etc.) as well Machine Learning driven modeling solutions

- Work with model governance & fair lending teams to ensure compliance of models in accordance with Citi standards

- Appropriately 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:

- Bachelor’s Degree with 4+ years of experience in data analytics, or master’s degree with 2+ years of experience in data analytics, or PhD

- Experience in Machine Learning and Data Science

- Have the ability to retrieve and manipulation data

- Possess analytic ability and problem solving skills

- Working experience in a quantitative field

- Excellent communication and interpersonal skills, be organized, detail oriented, and adaptive to matrix work environment

- Ability to build partnerships with cross-functional teams

Education:

- Bachelors/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.

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Job Family Group:
Decision Management ------------------------------------------------------
Job Family:
Specialized Analytics (Data Science/Computational Statistics) ------------------------------------------------------
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. ------------------------------------------------------
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