Data Scientists

NTT DATA, Inc.; San José el 15; Presencial; MXN 915,000 - 1,283,000; Jornada completa

Descripción de la vacante

A leading technology services provider in Mexico is seeking an experienced Data Scientist to analyze large datasets, develop machine learning models, and collaborate with different teams to drive data-driven decision-making. Candidates should possess strong programming skills, proficiency in statistical analysis, and experience with machine learning frameworks. This position involves creating visualizations to share insights across the company.

Formación

• Strong knowledge of programming languages such as Python, R, and SQL.
• Proficient in statistical methods and tools for data analysis.
• Experience with machine learning frameworks and libraries.
• Ability to handle large volumes of data.
• Strong understanding of business processes.

Responsabilidades

• Design and implement statistical models and algorithms.
• Gather data from various sources and preprocess it.
• Create dashboards to communicate findings.
• Work closely with cross-functional teams.
• Stay updated with the latest industry trends.

Conocimientos

Python

R

SQL

Tableau

Power BI

Machine Learning

Statistical Analysis

Data Management

Communication Skills

Educación

Master's or Ph.D. in Data Science, Statistics, Computer Science

Herramientas

TensorFlow

scikit-learn

PyTorch

Descripción del empleo

Overview

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 to join our team in GDL, Jalisco (MX-JAL), Mexico (MX).

Data Scientist Job Description

Job Title: Data Scientist

Job Summary: A Data Scientist is responsible for analyzing large sets of structured and unstructured data to derive actionable insights. This role involves using advanced analytics, machine learning, and statistical methods to solve complex business problems and support decision-making processes.

Responsibilities

• Data Analysis and Modeling: Design and implement statistical models and machine learning algorithms to analyze data and predict outcomes.
• Data Collection and Processing: Gather data from various sources, clean and preprocess it for analysis.
• Visualization and Reporting: Create dashboards and visualizations to communicate findings to stakeholders and support executive decision-making.
• Collaboration: Work closely with cross-functional teams, including IT, marketing, and customer service, to understand business needs and deliver data-driven solutions.
• Research and Development: Stay updated with the latest industry trends and technologies in data science and apply them to improve processes and products.

Required Skills and Qualifications

• Technical Proficiency: Strong knowledge of programming languages such as Python, R, and SQL. Experience with data visualization tools like Tableau or Power BI.
• Statistical Analysis: Proficient in statistical methods and tools for data analysis.
• Machine Learning: Experience with machine learning frameworks and libraries such as TensorFlow, scikit-learn, or PyTorch.
• Data Management: Ability to handle large volumes of data and experience with data warehousing solutions.
• Business Insight: Strong understanding of business processes and the ability to translate data insights into actionable business strategies.
• Communication Skills: Excellent verbal and written communication skills to effectively convey complex data insights to non-technical stakeholders.

Preferred Qualifications

• Advanced Degree: A Master\'s or Ph.D. in Data Science, Statistics, Computer Science, or a related field.
• Experience: Previous experience in a similar role, preferably in the same industry.
• Certifications: Relevant certifications in data science or machine learning.

About NTT DATA

NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us

NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. 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. For our EEO Policy Statement, please click here. If you\'d like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

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