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Data Scientist Sr

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NTT DATA

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Location:
Mexico

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

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

Job Responsibility:

  • 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 Big Data Platform data lake, 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) (Must have) 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
  • 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

Requirements:

  • PHD
  • 2 yrs of work experience
  • Manufacturing experience (machine data, IOT data)
  • Strong interest in exploring all aspects of data and possess the ability to communicate insights effectively
  • 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 modeling 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

Nice to have:

  • Computer vision/Gen AI
  • AWS experience
  • Experience with deploying models in production
  • Familiar with Large Language Models (LLMs) and Vision Language models (VLMs)
  • An advanced degree (MS or PhD)
  • Hands-on experience with developing Machine Learning models for manufacturing use cases
  • Design, implement, and maintain deployment pipelines to ensure seamless integration and deployment of ML/DL models, follow established ML Ops standards

Additional Information:

Job Posted:
February 14, 2026

Work Type:
Remote work
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