Junior Data Scientist and ML Engineer, NTT
Technology & business solutions
Job no longer available
Technology & business solutions
1001+ employees
Job no longer available
1001+ employees
Company mission
To deliver innovations that help solve the greatest challenges today and create the opportunities of the future.
Role
Who you are
- 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
- 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
- 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
What the job involves
- The 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
- 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
Our take
NTT is a global company providing digital business consulting, alongside technology for cybersecurity, cloud computing, workplace operations, and more. Established as the Nippon Telegraph and Telephone Public Corporation in 1952, the company has transformed for the digital era and delivers products that help its clients do the same.
From beginnings as a telephone business, NTT has evolved into a data-led technology and business solutions provider. Its NTT Data branch, now a certified B corporation, was launched in 1988 to create value for clients by leveraging IT, showing that the company adapted early on to the approaching digital revolution. A series of acquisitions in the 2000s and 2010s transformed the company’s structure into what it is today, giving it the capacity to deliver improved solutions across the globe.
NTT serves over 75 of the Fortune Global 100 companies. In 2023, the company announced its membership in the Joint Cyber Defense Collaborative (JCDC), which aims to strengthen the focus on cybersecurity in the US government and internationally. This, alongside other partnerships such as that of NTT Research with Harvard, aligns with NTT’s goal to be proactive in solving the world’s biggest problems with data.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Few candidates hear
back within 2 weeks
Company
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Leadership
Akira Shimada
(CEO, not founder)Has worked at the company since 1981, in various roles including Senior Manager of Corporate Strategy, and SVP and Director of the General Affairs Department.
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