Senior Associate Data Scientist

Continue to make an impact with a company that is pushing the boundaries of what is possible. At NTT DATA, we are renowned for our technical excellence, leading innovations, and making a difference for our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can continue to grow, belong, and thrive.

Your career here is about believing in yourself and seizing new opportunities and challenges. It’s about expanding your skills and expertise in your current role and preparing yourself for future advancements. That’s why we encourage you to take every opportunity to further your career within our great global team.

Grow Your Career with NTT DATA

The Senior Associate Data Scientist is a developing subject matter expert, tasked with supporting the adoption of data science and analytics within the organization.

The primary responsibility of this role is to participate in the creation and delivery of data-driven solutions that add business value using statistical models, machine learning algorithms, data mining, and visualization techniques.

What You'll Be Doing

Key Responsibilities:

• Proactively supports the design, development, and programing 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.
• Receives instructions to research, design, implement and deploy scalable data analytics vision and machine learning solutions to challenge business issues.
• Contributes to the design and enhancement of data collection procedures to include information that is relevant for building analytic systems.
• Ensures that data used for analysis is processed, cleaned and, integrally verified and build algorithms necessary to find meaningful answers.
• Contributes to the designing and coding of software programs, algorithms, and automated processes to cleanse, integrates and evaluates large datasets from multiple disparate sources.
• Takes direction from management/leadership to provide meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers.
• Supports the design of scalable and highly available applications leveraging the latest tools and technologies.
• Participates in creatively visualizing and effectively communicating results of data analysis, insights, and ideas in a variety of formats to key decision-makers within the business.
• Receives instructions to create SQL queries for the analysis of data and visualize the output of the models.
• Contributes to ensuring that industry standards best practices are applied to development activities.
  
  

Knowledge and Attributes:

• Developing in data modelling, statistical methods and machine learning techniques.
• Ability to thrive in a dynamic, fast-paced environment.
• 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.
• Developing understanding of the information technology industry within a matrixed organization and the typical business problems such organizations face.
• Ability to translate technical findings clearly and fluently to non-technical team business stakeholders to enable informed decision-making.
• Developing 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.
• Developing ability to apply data science principles through a business lens.
  
  

Academic Qualifications and Certifications:

• 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.
  
  

Required Experience:

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

Workplace type:

Hybrid Working

Equal Opportunity Employer

NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Accelerate your career with us. Apply today