[Hiring] Data Scientist Sr @NTT DATA North America

Role Description

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) 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.

Qualifications

• PHD
• 2 years of work experience
• Manufacturing experience (machine data, IoT data)
• Computer vision/Gen AI (Nice to have)

Requirements

• 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 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.

Benefits

• 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.