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# Data Science Consultant 2

- **Company:** Infosys
- **Location:** Houston, TX, United States
- **Contract:** Permanent contract
- **Skills:** Business Analytics Applications, Data Analysis, Python (Programming Language), Knowledge Management, Performance Tuning, SAS (Software), Systems Integration, Scripting, Large Language Models, Deep Learning, Machine Learning Operations
- **Published:** November 10, 2026
- **Apply:** https://www.careerbuilder.com/job-details/data-science-consultant-2-houston-tx--8b192e1a-f883-4a44-92a6-2877abbe9d47

## About the Role

Data Science, Consulting, Data Science, Consulting, Use Cases, Forecasting, Algorithms, People Management, Best Practices, Performance Tuning/Optimization

## Description

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.