Specialist - Data Science, Python, R, and Business Intelligence

We need an SME in Data Science, Python, R, and BI to develop short courses for various job roles. The ideal candidate will deeply understand data analysis, machine learning, programming, and BI tools, creating accessible learning experiences for professionals seeking data-driven and AI-enabled solutions. Key Responsibilities: Course Design & Development • Create modular courses (outlines, lessons, case studies, and assessments) on Python programming, data science, and MLOps that are aligned with client requirements and the quality guidelines specified in the client rubric. • Collaborate with stakeholders to ensure course relevancy and accuracy. • Translate complex financial workflows into accessible, hands-on learning experiences. • Use real-world examples and develop practical case studies, scenario-based exercises, handouts, and automated templates to enhance practical application. • Update content based on client feedback and best practices. Python & Software Development Expertise • Demonstrate proficiency in Python for data analysis, automation, and AI/ML applications. • Incorporate software testing best practices, security principles, and reproducibility standards. • Teach API development, version control, and modular code design as relevant to course goals. • Demonstrate strong knowledge of R for statistical analysis and predictive modeling Data Science & Visualization • Experience with data manipulation techniques, data cleaning, and feature engineering. • Knowledge of machine learning algorithms and frameworks (e.g., TensorFlow, scikit-learn). • Understanding of data reproducibility practices and version control • Ability to use data visualization and BI/dashboard design (e.g., Power BI, Tableau, Plotly) platforms • Knowledge of reproducibility and documentation standards in data science workflows. • Ability to create automated BI reporting solutions. • In-depth understanding of statistical concepts and methods applicable to data analysis. • Experience in designing experiments and performing hypothesis testing. • Proficiency in Excel for data analysis and statistical functions MLOps & Data Automation • Ability to integrate tools and frameworks for automating ML pipelines (e.g., MLflow, Kubeflow, Airflow). • Knowledge of deployment pipelines and CI/CD principles for machine learning • Experience in model deployment, monitoring, and scaling in production environments. • Ability to use best practices for versioning data, models, and experiments. Cybersecurity & Data Integrity • Ability to address data security and privacy considerations in data science and AI projects. • Understanding of data protection strategies and secure coding practices • Skills in testing methodologies, including automated testing frameworks • Ability to integrate cybersecurity principles into model deployment and API integrations. • Knowledge of common vulnerabilities and secure coding practices. Collaboration & Standardization • Utilize standardized Google Suite templates (Docs, Sheets, Slides) for course outlines, checklists, feedback, and version control within Google Suite to preserve formatting, change tracking, comments, and updates, avoiding complications caused by conversion to other platforms like Microsoft Office. • Excellent verbal and written communication skills to be able to collaborate with cross-functional teams and stakeholders. • Strong presentation skills for delivering training sessions. Required Qualifications: • Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field (Master’s degree or relevant certifications preferred). • Proven expertise in data science, programming, or BI, with a focus on training or instructional design. • Experience in MLOps, data pipeline automation, and model deployment at scale. • Strong understanding of data visualization tools and BI/dashboard design. • Background in software testing, security, and reproducibility in data workflows. • Previous experience in corporate training environments or educational settings is highly desirable.