NTT DATA is looking for a Senior Data Scientist to develop machine learning, deep learning, and computer vision models that address critical manufacturing business challenges. You will work closely with business teams in an agile environment to provide data-driven insights and deploy impactful solutions.
What You'll Do
- 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.
- 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.
- Provide decision-support analytics to assist in business strategy formulation or address specific business challenges.
- Actively participate in daily stand-ups, weekly sprint planning sessions, quarterly planning, and other sprint ceremonies.
- 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.
- Contribute to validating and prioritizing the product backlog, managing risks, and ensuring 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.
What We're Looking For
- A PhD (research experience).
- 2+ years of work experience.
- Manufacturing experience (machine data, IoT data).
- Computer Vision/Gen AI experience.
- Strong interest in exploring all aspects of data and 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).
- A degree in a quantitative field such as Computer Science/Engineering, Mathematics, Statistics, or Economics.
Nice to Have
- ML Ops standards experience.
- 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.
Technical Stack
- Python, Spark-ML
- AWS SageMaker, Databricks
- Spark, Airflow
- CI/CD, GitHub
- Power BI, Tableau
Team & Environment
You will work in an Agile and scrum environment, collaborating closely with product managers, senior scientists, and engineers.
Work Mode
This is a remote position open to candidates based in Mexico.
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.
