Freshers Jobs Vacancy – Data Scientist Job Opening at NTT Data

NTT Data is hiring for the role of Data Scientist for the Bangalore (Hybrid) location. Please read the entire information carefully and apply if you are eligible for the Data Scientist Job Opening at NTT Data.

Eligibility Criteria:

Education: Bachelor’s degree or equivalent in Data Science, Business Analytics, Mathematics, Economics, Engineering, Computer Science or a related field.

Job Location: Bangalore (Hybrid)

Experience:  Fresher

Skills: SQL, R, Python, Machine Learning

Salary: Up to ₹5 to ₹11 LPA (As per Glassdoor)

Job Responsibilities of Data Scientist Job Opening at NTT Data:

• Designs, develops, and programs methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for client services and product enhancement.
• Designs and enhances data collection procedures to include information that is relevant for building analytic systems.
• Responsible for ensuring that data used for analysis is processed, cleaned and, integrally verified and build algorithms necessary to find meaningful answers.
• Designs and codes software programs, algorithms, and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources
• Provides meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers.
• Directs scalable and highly available applications leveraging the latest tools and technologies.
• Accountable for creatively visualizing and effectively communicating results of data analysis, insights, and ideas in a variety of formats to key decision-makers within the business.
• Creates SQL queries for the analysis of data and visualizes the output of the models.
• Responsible for ensuring that industry standards best practices are applied to development activities.

Required Qualifications, Capabilities, and Skills:

• Bachelor’s degree or equivalent in Data Science, Business Analytics, Mathematics, Economics, Engineering, Computer Science or a related field.
• Relevant programming certification preferred.
• Agile certification preferred.
• Advanced understanding of data modelling, statistical methods and machine learning techniques.
• Strong ability to thrive in a dynamic, fast-paced environment.
• Strong quantitative and qualitative analysis skills.
• Desire to acquire more knowledge to keep up to speed with the ever-evolving field of data science.
• Curiosity to sift through data to find answers and more insights.
• Advanced understanding of the information technology industry within a matrixed organization and the typical business problems such organizations face.
• Strong ability to translate technical findings clearly and fluently to non-technical team business stakeholders to enable informed decision-making.
• Strong ability to create a storyline around the data to make it easy to interpret and understand.
• Self-driven and able to work independently yet acts as a team player.

 

Required Experience:

• Advanced demonstrated experience in a data science position in a corporate environment and/or related industry.
• Advanced demonstrated experience in statistical modelling and data modelling, machine learning, data mining, unstructured data analytics, natural language processing.
• Advanced demonstrated experience in programming languages (R, Python, etc.).
• Advanced demonstrated experience working with and creating data architectures.
• Advanced demonstrated experience with extracting, cleaning, and transforming data and working with data owners to understand the data.
• Advanced demonstrated experience visualizing and/or presenting data for stakeholder use and reuse across the business.

NTT DATA Services is a recognized leader in IT and business services, including cloud, data and applications, headquartered in Texas. As part of NTT DATA, a $30 billion trusted global innovator with a combined global reach of over 80 countries, we help clients transform through business and technology consulting, industry and digital solutions, applications development and management, managed edge-to-cloud infrastructure services, BPO, systems integration, and global data centers.

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