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Data Science and AI Specialist

Midrand Job No. r00226503 Full-time - Hybrid
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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.

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