Data Scientist

2 months ago

Johannesburg, South Africa NTT DATA Full time

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

**Your day at NTT DATA**

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**:

- 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.
- Accountable 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.
- Accountable for providing meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers.
- Accountable for performing analysis using programming languages or statistical packages such as Python and R etc.
- 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 visualize the output of the models.
- Creates documentation around processes and procedures and manages code reviews.
- Accountable for ensuring that industry standards best practices are applied to development activities.

**Knowledge and Attributes**:

- Seasoned 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.
- Good 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.
- 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.
- Desire to create strategies and solutions that challenge and expand the thinking of peers and business stakeholders.

**Academic Qualifications and Certifications**:

- Bachelor’s degree or equivalent in Data Science, Mathematics, Engineering, Computer Science or a related field.
- Relevant programming certification preferred.
- Agile certification preferred.

**Required Experience**:

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

**Workplace type**:
Hybrid Working

**About NTT DATA**

**Equal Opportunity Employer

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