Data Scientist Specialist

Responsible for maintaining ABS eligibility criteria (portfolio projections); responsible for data mining for ABS, portfolio sales, and any other financial instrument requiring data analysis on the portfolio. Responsible for the development, implementation, monitoring, updating, or calibration of models required by the various NRFM areas to increase company benefits derived from data exploitation. Responsible for generating ML, DL, AI, and generative artificial intelligence models that allow for process automation or improved business decisions. Responsible for monitoring, coordinating, and supervising the integrity, quality, completeness, and security of NRFM information housed in the data lake. Responsible for complying with and enforcing the data policy both in model development and in stakeholder use and access.

Responsibilities

• Portfolio projections and, where applicable, managing necessary changes with responsible areas to maintain the required portfolio quality in each current or future ABS.
• Generate the necessary data mining to comply with ABS reports; portfolio sales, customer segmentation, such as Loss triangle, data tapes, and operational reports that contribute to the proper administration of each agreement.
• Development, implementation, monitoring, updating, and calibration of ML, DL, LLM, AI generative and AI models, to generate value for NRFM in decision-making, process improvement, and benefit increase.
• Perform various analyses requested by different NRFM areas that maintain a tangible benefit, efficiency, or regulatory compliance.
• Safeguard the integrity, quality, completeness, and security of data managed under the data office; any deviation must be reported and managed using the respective controls.
• Collaborate in coordination with heavy users or stakeholders to properly integrate information into the data lake, always respecting the Global, Regional, and local policy, as well as the current data model.
• Document the data policy or procedure according to changes and responsibilities under their scope of control.
• Establish controls and processes that allow for improved information use and security.
• Automation of reports requested by various areas or that facilitate decision-making (customer hyper-personalization) in the determined tools.
• Ensure the proper implementation of the data strategy generated by the data office.

Scope and Dimension of the Position

• Increase benefit through increased loan placement based on data office models or analyses - Strategic Functional
• Data monetization through various analyses that allow for hyper-personalization of our clients and better portfolio knowledge - Strategic Functional
• Increase sales through retention and churn propensity models (customer churn models) - Strategic Functional
• Streamline processes through generative and non-generative AI intelligence, Strategic Functional
• Streamline processes by automating reports or processes that allow for quick response to business needs, generating better alliances with third parties such as Banks, manufacturers, investment funds, etc. - Operational Functional
• By complying with the data strategy, better reach in models and resource efficiency is generated - Strategic Functional

Internal and External Relationships

Internal

• Data Office Sr Specialist / Deputy Risk Director: Monitoring and supervision of the responsibilities mentioned above.
• Operations Director: Presentation of analyses or models, reporting of necessary KPIs to ensure model accuracy.
• General Director: Presentation of analyses or models, reporting or necessary KPIs that allow for improved decision-making.
• Stakeholders: Value generation, whether monetization or efficiencies, according to stakeholder needs.

External

• Banks or financial institutions: Share necessary data to generate the elements that these institutions require to make the agreement.
• Support from NRFM such as Renault, Mitsubishi, Renault, Infiniti, Nissan, Kuna, SICREA, in Data mining generating value for the alliance.
• AI or software providers: Improve analyses and reporting or monitoring tools.
• Experience/skills
• Quantitative skills, analytical, results-oriented, teamwork, problem-solving aptitude, responsible, proactive.

Requirements

• Work experience: Experience in developing and implementing ML, LLM, DP, AI, generative AI models, time series, classification, among others, to generate economic value for the company through increased sales or process efficiency (BS, Granting score, Churn models, etc).
• Academic level: Higher Education
• Area or specialty: Bachelor's degree in Data Scientist, Applied Mathematics, Data Science, Actuarial Science, Economics, Finance, Risk, or related field.
• Technical skills: Knowledge in Machine Learning model development, Artificial Intelligence, Python, SQL, Snowflake, Data Lake, Office.
• Certifications: Degree holder
• Languages: Intermediate English level
• Willingness to travel
• Work 3 days in office and 2 days remote

Competencies

• Seeking opportunities to learn new and necessary skills and knowledge to perform work efficiently - Fundamental
• Applying systems thinking to identify new solutions for the company as a whole - Fundamental
• Analytical aptitude - Gathering and analyzing information, problem-solving, evaluating information and making a decision based on findings - Fundamental
• Continuous learning - Seeking opportunities to learn new and necessary skills and knowledge to perform work efficiently - Fundamental
• Problem and conflict resolution - Developing and evaluating solutions to problems and implementing solutions - Fundamental

Safety and Hygiene

• Safety: Apply good practices in terms of safety and hygiene and 5's in NRFM.
• Environment: Know the environmental aspects and impacts of their area and job positions.
• Quality: Participate in quality management excellence and internal control activities.

Nissan (NMEX,NEdM, NRFS, NRFM and ANZEN) hires based on the fulfillment of the job profile in the vacancy, without distinction (or discrimination based on gender, gender identity and/or expression, sexual orientation,) race, color, language, religion, political or any other opinion, national or social origin, economic position, birth or any other condition.

-Nissan (NMEX,NEdM, NRFS, NRFM and ANZEN) hires based on the fulfillment of the job profile in the vacancy, without distinction or discrimination based on gender, gender identity and/or expression, sexual orientation, race, color, language, religion, political or any other opinion, national or social origin, economic position, birth or any other condition.

-By applying for the advertised position, candidates acknowledge that Nissan Mexicana and its subsidiaries reserve the right to conduct a public conduct search due to the sensitive nature of the assets and information involved in the role. This includes, but is not limited to, proprietary information, financial data, and other assets requiring safeguarding. Nissan Mexicana and its subsidiaries assure confidentiality and compliance with all legal requirements regarding the use of such information. By applying for this position, you are consenting to this check.