Sr. Data Scientist

NTT DATA; Tijuana; Híbrido; MXN 1,602,000 - 2,137,000; Jornada completa

Descripción de la vacante

A leading technology company is seeking a Sr. Data Scientist in Tijuana, Mexico. This role involves collaborating with business teams to develop data-driven solutions, performing data analysis, and enhancing Machine Learning models. Candidates should possess a strong background in data analysis, machine learning, and have experience with tools like Python and Spark. An advanced degree is preferred. The company emphasizes flexibility in work arrangements, reflecting its commitment to meeting client and employee needs.

Servicios

Flexible work arrangements

Access to innovation centers

Opportunities for career growth

Formación

• Proficient in analyzing and modeling big data.
• Familiarity with modeling requirements for Customer 360.
• Experience with Machine Learning platforms.

Responsabilidades

• Collaborate with business teams on Data Science solutions.
• Perform exploratory data analysis on source data.
• Develop and enhance Machine Learning models.

Conocimientos

Data analysis and modeling

Machine learning techniques

Deep learning techniques

Computer vision techniques

Effective communication

Educación

Degree in Computer Science/Engineering, Mathematics, Statistics, or Economics

Herramientas

Python

Spark

AWS SageMaker

Databricks

Power BI

Tableau

Descripción del empleo

Req ID: 350614

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward‑thinking organization, apply now.

We are currently seeking a Sr. Data Scientist to join our team in Guadalajara, México (MX-MEX), Mexico (MX).

Job Duties: What You’ll Be Doing

• Collaborate closely with business teams to ideate and align on Data Science solutions for addressing diverse business challenges.
• Perform exploratory data analysis (EDA) on source data from the Toyota Big Data Platform data lake, Toyota Data Science Platform, and other relevant Battery Manufacturing datasets to address specific use cases.
• Develop, maintain, and enhance Machine Learning (ML), Deep Learning (DL) and Computer Vision (CV) models using transformed data, primarily leveraging Python and Spark‑ml algorithms.
• Apply optimization techniques, including hyperparameter tuning, to improve the performance of ML and DL models.
• Design, implement, and maintain deployment pipelines to ensure seamless integration and deployment of ML/DL models, following established ML Ops standards.
• Provide decision‑support analytics to assist in business strategy formulation or address specific business challenges when needed.
• Actively participate in daily stand‑ups, weekly sprint planning sessions, quarterly planning, and other sprint ceremonies, providing progress updates and collaborating with the team.
• Engage in ideation sessions with business user groups to gather requirements and ensure alignment with business objectives.
• Present insights, findings, and results clearly to product owners and stakeholders, ensuring they understand and can make informed decisions.
• Contribute to validating and prioritizing the product backlog, managing risks, and ensuring the smooth execution of sprint tasks.
• Develop data‑driven products that provide clear insights and recommendations to non‑technical audiences through visualizations and presentations.
• Work collaboratively with product managers, senior scientists, engineers, and other team members in an agile and scrum environment to fulfill modeling needs.

Minimum Skills Required

• 8+ years with the following: strong interest in exploring all aspects of data and possess the ability to communicate insights effectively, while also concentrating on the technical solutions underlying them.
• Proficient in analyzing and modeling big data utilizing statistical, machine learning, deep learning, and computer vision techniques.
• Expertise in transforming ambiguous questions into impactful experiments, analysis, or models.
• Familiarity with modelling requirements for Customer 360 and Customer Journey.
• Experience with Machine Learning platforms (AWS SageMaker, Databricks), Data Pipelines (Spark and Airflow), CI/CD, GitHub, and visualization (Power BI or Tableau).
• Have a degree in a quantitative field such as Computer Science/Engineering, Mathematics, Statistics, or Economics, with an advanced degree being desirable.

Preferred Skills

• Experience with deploying models in production.
• Familiar with Large Language Models (LLMs) and Vision Language models (VLMs).
• Advanced degree (MS or PhD).
• Hands‑on experience with developing Machine Learning models for manufacturing use cases.

About NTT DATA

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world’s leading AI and digital infrastructure providers, with unmatched capabilities in enterprise‑scale AI, cloud, security, connectivity, data centers and application services. Our consulting and industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start‑up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in‑office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form: https://us.nttdata.com/en/contact-us.

NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications.

NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you’d like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.