Sr. Data Scientist at NTT DATA

Guadalajara, jalisco, Mexico -

Full Time

Start Date

Immediate

Expiry Date

15 Apr, 26

Salary

0.0

Posted On

15 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Machine Learning, Deep Learning, Computer Vision, Python, Spark-ML, Exploratory Data Analysis, Data Pipelines, CI/CD, GitHub, Visualization, AWS SageMaker, Databricks, Power BI, Tableau, Large Language Models

Industry

IT Services and IT Consulting

Description

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, follow 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. 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. 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."

Responsibilities

Collaborate with business teams to develop data science solutions and perform exploratory data analysis on various datasets. Design and maintain machine learning models and deployment pipelines while providing decision-support analytics.