Data Scientist Sr; Remote
Singapore
Listed on 2026-02-14
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IT/Tech
Machine Learning/ ML Engineer, Data Scientist
Location Mexico, Mexico This job is associated with 4 categories
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Req
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 Data Scientist Sr (Remote) to join our team in Mexico, México (MX-MEX), Mexico (MX).
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 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.
- Design, implement, and maintain deployment pipelines to ensure seamless integration and deployment of ML/DL models, follow established ML Ops standards (Nice to have)
- 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.
- Research experience (PHD) +
- AWS experience (Nice to have)
- Experience with manufacturing data and machine data,battery data etc.
- 1. PHD
- 2. 2 yrs of work experience
- 3. Manufacturing experience (machine data, IOT data)
- 4. Computer vision/Gen AI (Nice to have)
What You Bring
- 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 modeling requirements for Customer 360 and Customer Journey.
- Experience with Machine Learning platforms (AWS Sage Maker, Databricks), Data Pipelines (Spark and Airflow), CI/CD, Git Hub, 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.
- 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.
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.
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