**Req ID:** 339967 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 & Machine learning 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. Key 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 (http://us.nttdata.com/en) 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. 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