Data Scientist
Data Scientist
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1 Vacancy
Job Description
Location: Johannesburg (onsite)
Position Type: Permanent
Travel Required: Yes
JOB PURPOSE
The Data Scientist is responsible for applying advanced analytical and machine learning techniques to solve complex business problems. This role involves designing developing and deploying predictive models as well as leading data science projects across the organization.
QUALIFICATIONS:
- A degree in Computer Science Data Science Statistics Applied Mathematics or a related quantitative field.
- Experience in finance supply chain management engineering or manufacturing operations is a plus.
EXPERIENCE:
- At least five years of experience in data science machine learning or a related field.
- Proven track record of applying data science techniques to business functions such as financial analytics manufacturing sales and marketing.
SKILLS AND ABILITIES REQUIRED:
Technical Skills
- Proficiency in database programming languages including SQL and PL/SQL.
- Experience with nonrelational databases and distributed computing tools (e.g. Hadoop MapReduce).
- Strong programming skills in Python Java Scala or similar languages.
- Experience with machine learning platforms such as Microsoft Azure ML Google Cloud ML or similar.
Machine Learning and Data Science
- Indepth knowledge of statistical and data mining techniques.
- Experience with predictive modeling classification clustering and other machine learning tasks.
- Familiarity with deep learning neural networks and associated algorithms.
ProblemSolving and Innovation
- Ability to develop innovative solutions to complex problems using data science techniques.
- Strong analytical thinking with a focus on continuous improvement.
Communication and Collaboration
- Excellent communication skills to articulate complex models and insights to nontechnical stakeholders.
- Ability to work with crossfunctional teams and integrate domain knowledge into analytics solutions.
ROLE RESPONSIBILITIES:
Project Management and Problem Analysis
- Lead data science projects from concept to deployment.
- Collaborate with business units to identify datadriven opportunities.
Data Exploration and Preparation
- Conduct exploratory data analysis to understand the underlying mechanics of business processes.
- Prepare data for modelling and ensure its quality and integrity.
Model Development and Deployment
- Develop and implement machine learning models to solve classification prediction and other analytical tasks.
- Collaborate with IT and other stakeholders to deploy models and ensure their performance.
Continuous Learning and Improvement
- Stay updated with the latest trends in data science and machine learning.
- Mentor and train other team members on data science principles.
Employment Type
Full Time
