Senior Data Scientist - Midrand, South Africa - Vodafone

Vodafone

Verified Company

Midrand, South Africa

2 weeks ago

Posted by:

Thabo Mthembu

beBee Recruiter

Description

Role purpose:

Vodacom is a Leading African Mobile communication company providing wider range of communication services including mobile voice, messaging, data and converged services to over 60 million customers.

From our roots in South Africa, we have grown our mobile network business to include operations in Tanzania, DRC, Mozambique, Kenya, Ghana, Lesotho and now Ethiopia.

The mobile networks cover a total population of approximately 200 million people.

Through Vodacom Business Africa (VBA) we also offer business managed services to enterprises in over 40 countries across the continent.

Vodafone is the majority shareholder of Vodacom and has a 65% share.

We're at our best when we lead and over the past 20 years, as the Company that pioneered mobile in South Africa, Vodacom has achieved a remarkable list of firsts.

We're immensely proud to be a leader in our field and are 100% committed to continue trailblazing.
We employ individuals who are as passionate about customers as we are.

We are truly Customer Obsessed, which means that we are passionate about exceeding customer expectations; work relentlessly to really understand the customer; look at decisions through the customer's eyes and take personal accountability for the customer experience.

We are looking for people with a passion for Machine Learning and Big Data. We have the below vacancy available in our Organization.

Your responsibilities will include:

Create Machine Learning and AI products that provide actionable business insight to Vodafone and its stakeholders.
Developing predictive models with large and varied datasets, working with a community of colleagues across Advanced Analytics, technology, and data and customer functions
Contributing to the wider community to enable Machine Learning and AI capability across Vodafone globally.
Development of machine learning models for various areas of the business on the Big Data Platform
Development of prototype code in e.g. PySpark for automated training and scoring of the machine learning models
Machine Learning Model performance tracking and reporting using e.g. Qlik
Uses data visualisation to engage audience in a compelling way, enabling effective storytelling

Work with lead data scientist to deliver key packages of work to meet the needs of business customers
Works in partnership with Big Data Engineering for data ingestion to support use cases
Works in partnership with Big Data Production Data Engineering for model automation and productionising
Deploy models in Containerized Environments using tools such as Docker and Kubernetees, allow for on-prem and on Cloud Deployment.
Developing insightful dashboard to enable faster decision making
Identifying new data sources and evaluate emerging technologies for data discovery usage.
Mentoring young data scientists in the team
Presenting the results to technical and non
- technical audiences

Bachelor's or Master's Degree in quantitative fields like Mathematics, Statistics, Economics, Computer Science Engineering, Artificial Intelligence or related fields (essential)
A minimum of 6 years relevant experience in Data Science.
A Minimum of 2 Years AWS Experience advantageous
AWS Sagemaker Deployments
AWS Cloud Certification (Fundamentals, Data Anlytics or Machine Learning)
AWS Tools Knowledge (AWS Glue, AWS Athena, AWS SageMaker, AWS EKS)

Experiencing working with and managing a team of junior data scientists.

Experience in data manipulation:
use of structured data tools (e.g., SQL), and unstructured data platforms (e.g., Hadoop, Spark, NoSQL)

Proficiency in at least one relevant programming language:
Python, R
Experience in major machine learning modelling libraries (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 Containerised technologies such as Docker and Kurbernetees.

Knowledge of MLOPS concepts and deployment of models through batch and real-time architectures. Use of Technology such as (MLFLOW and Apache Airflow)
Familiarity with visualisation tools (e.g. Tableau, Qlik, D3, Apache Superset, Plotly)
Exposure/interest in machine learning
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)
Experience manipulating and analysing large and complex datasets /
Experience in visualisation, creating graphical static and interactive displays of data that clearly communicate insight (preferred)
Good interpersonal communication and presentation skills
Ability to work in a fast-paced environment
Analytical and expansive thinking with a strong desire to deliver and develop

Closing date for Applications
:26 July 2023.
The base location for this role is
Midrand, Vodacom Campus.
The Company's appr