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Data Science and AI Specialist
Midrand
Job No. r00226503
Full-time - Hybrid
Job Description
Job Purpose:
The AI Decision Science Consultant leverages advanced artificial intelligence, machine learning, and data science techniques to support data-driven decision-making across business functions. This role involves collaborating with stakeholders to identify challenges, design innovative AI-driven solutions, and implement strategies that enhance operational efficiency, optimize performance, and deliver measurable business value.
Key Responsibilities:
AI and Machine Learning Development:
- Design, develop, and deploy AI/ML models and algorithms to solve complex business problems.
- Conduct exploratory data analysis to identify trends, patterns, and insights relevant to decision-making.
- Develop predictive and prescriptive models to support strategic planning and operational improvements.
Decision Science and Strategy:
- Apply decision science frameworks to improve processes, optimize resources, and enhance decision-making.
- Use advanced techniques like optimization, simulation, and scenario analysis to support business planning.
- Translate business challenges into mathematical models and actionable insights.
Stakeholder Collaboration:
- Work closely with business leaders and cross-functional teams to identify opportunities for AI-driven transformation.
- Clearly communicate technical findings to non-technical stakeholders, providing actionable recommendations.
- Conduct workshops and training sessions to drive AI literacy within the organization.
Data Engineering and Management:
- Collaborate with data engineers to prepare, clean, and manage large datasets for AI/ML model training.
- Ensure data integrity, accuracy, and compliance with organizational and regulatory standards.
Solution Implementation:
- Deploy AI/ML solutions into production environments and monitor performance.
- Continuously evaluate models for accuracy, scalability, and effectiveness.
- Document processes and create reusable frameworks to accelerate future projects.
Innovation and Research:
- Stay updated on emerging trends in AI, decision science, and analytics to recommend cutting-edge solutions.
- Experiment with new technologies and frameworks to push the boundaries of existing capabilities.
Qualifications and Skills:
Education:
- Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Mathematics, Operations Research, or related fields.
- PhD is a plus but not required.
Technical Skills:
- Proficiency in programming languages such as Python, R, or Java.
- Strong experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
- Expertise in data visualization tools (e.g., Tableau, Power BI, or D3.js).
- Knowledge of cloud platforms (e.g., AWS, Azure, or Google Cloud) and MLOps tools.
- Familiarity with decision science techniques (e.g., optimization, game theory, simulation).
Soft Skills:
- Strong problem-solving and analytical skills.
- Excellent communication and presentation abilities.
- Ability to work in a collaborative, fast-paced environment.
- Strong business acumen with an understanding of how AI aligns with organizational goals.
Experience:
- 5- 8 years of experience in AI/ML, decision science, or related fields.
- Proven track record of delivering AI-driven solutions that address business challenges.
- Industry-specific experience in finance, healthcare, retail, or manufacturing is an advantage.
Key Competencies:
- Critical thinking and a strong aptitude for problem-solving.
- Innovation and creativity in applying AI to real-world problems.
- Strong project management skills, including the ability to manage multiple projects simultaneously.
Qualifications
Qualifications and Skills:
Education:
- Bachelor’s or master’s degree in computer science, Data Science, Artificial Intelligence, Mathematics, Operations Research, or related fields.
- PhD is a plus but not required.