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Senior Data Scientist at Vodafone United States
Johannesburg, Gauteng, South Africa -
Full Time

Start Date

Immediate

Expiry Date

06 Jan, 26

Salary

0.0

Posted On

08 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

AI Solutions, Predictive Models, Data Manipulation, SQL, PySpark, NoSQL, Python, Machine Learning, MLOps, Visualization Tools, Big Data Analytics, Real-time Decisioning, Collaboration, Coaching, Design Thinking, Systems Thinking

Industry

Telecommunications

Description
Your responsibilities will include: Design and build AI solutions that deliver actionable insights and measurable business impact. Develop and deploy predictive models using large, diverse datasets across structured and unstructured domains. Collaborate with cross-functional teams including Advanced Analytics, Engineering, and Business stakeholders. Experience in data manipulation: use of structured data tools (e.g., SQL), and unstructured data platforms (e.g. PySpark, NoSQL) Proficiency in at least one relevant programming language: Python (preferred), R, Java Experience across major machine learning model frameworks (e.g. H2O, scikit-learn, PyTorch, Tensorflow) and techniques (e.g. random forest, gradient boosting, k-means segmentation, multiple regression, factor analysis, time-series forecasting) Exposure to cloud native deployment of models and working with containerized technologies such as Docker and Kurbernetees. Knowledge of MLOps and LLMOps concepts and deployment of models through batch and real-time architectures. Professional and/or academic experience in Big Data analytics & deployment of models and algorithms to solve real-world problems (with deep statistical and machine learning modelling expertise) Familiarity with visualization tools (e.g. Tableau, Qlik, D3, Apache Superset, Plotly, PowerBI, Opensearch, Grafana) Experience working with teams and coaching data scientists Design & Systems Thinking in relation to AI and Machine Learning Eco Systems. Real-time Decisioning & Intelligence use case deployment and evaluation experience. Ability to work independently and collaboratively in a fast-paced, agile environment.

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Responsibilities
Design and build AI solutions that deliver actionable insights and measurable business impact. Develop and deploy predictive models using large, diverse datasets across structured and unstructured domains.