About this role
In the assigned Job Role of Data Science Consultant 2, your Area Of Responsibility will be as below: • Develop data preparation tasks, while identifying patterns or anomalies. • Ensure data readiness for advanced modeling. • Develop models for complex use cases (e.g., forecasting models, LLM-based solutions), while refining algorithms to meet business needs, and ensure smooth deployment into scalable, production-ready solutions. • Conduct testing and optimize algorithms for performance, reliability, and scalability, while providing guidance to team members in best practices. • Design and develop predictive models and data-driven analyses to address business challenges. • Build, evaluate, and deploy models, standardize code, and contribute to knowledge management. • Leverage tools like SAS and R/Python to create reusable customizations for non-ML, ML, and deep learning algorithms, while enhancing analytics including LLMs, and create innovative, cost-effective solutions. • Define analytics problems for projects; execute visualization, analysis, and predictive modeling under guidance. • Proactively maintain models and implement improvements for accuracy and reliability. • Apply governance controls to mitigate risks and ensure compliance. • Analyze performance trends, recommend improvements, and document discrepancies for escalation. • Maintain comprehensive documentation standards, while participating in knowledge transfer sessions. • Participate in discussions with stakeholders to refine requirements, provide insights, and guide implementation of models. • Apply the predefined quality measurement framework at an individual task level in the project. • Deploy complex analytics tools or multi-system integration, while validating deployment success. • Participate in developing scripts or templates for repeated deployments tasks. • Contribute to analytic solutions, IP asset creation, and training initiatives. • Contribute to thought leadership such as papers, innovative non-ML, ML, deep learning or LLM models, and proofs of concepts. • Participate in and deliver analytics training, while contributing to content creation. • Provide input for segment and unit-level business plans. Your contribution to the team: • Deliver scalable, high-quality analytics solutions aligned to business needs. • A knack for optimization, deployment and performance improvement of models. • The ability to drive innovation through advanced analytics, automation and thought leadership. • Enable team growth through knowledge sharing, training and standardization. • Support business planning with data-driven insights.