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Data Scientist Sr at NTT DATA

Guadalajara, jalisco, Mexico -

Full Time

Start Date

Immediate

Expiry Date

04 Feb, 26

Salary

0.0

Posted On

06 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, Statistical Modeling, Machine Learning, Data Collection, Data Processing, Data Visualization, Reporting, Collaboration, Technical Proficiency, Statistical Analysis, Data Management, Business Insight, Communication Skills, Programming Languages, Data Warehousing, Industry Trends

Industry

IT Services and IT Consulting

Description

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. 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. 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.

Responsibilities

Design and implement statistical models and machine learning algorithms to analyze data and predict outcomes. Collaborate with cross-functional teams to understand business needs and deliver data-driven solutions.