With over three decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.
Want to know if you’re a fit?
Upload your resume and let our AI show you.
Upload your resume and let our AI show you.
Skills
- Algorithmsunmatched
- Analysis Skillsunmatched
- Artificial Intelligence (AI)unmatched
- Business Planunmatched
- Business Strategyunmatched
- Communication Skillsunmatched
- Consultingunmatched
- Content Developmentunmatched
- Continuous Improvementunmatched
- Cross-Functionalunmatched
- Data Scienceunmatched
- Deep Learningunmatched
- Documentationunmatched
- Forecastingunmatched
- IP (Internet Protocol)unmatched
- Improvement Metricsunmatched
- Mentoringunmatched
- Model Reviewunmatched
- Multitaskingunmatched
- Problem Solving Skillsunmatched
- Process Improvementunmatched
- Proof of Conceptunmatched
- Prototypingunmatched
- Python Programming/Scripting Languageunmatched
- Quality Managementunmatched
- Quality Metricsunmatched
- R Programming Languageunmatched
- Riskunmatched
- Standards Developmentunmatched
- Strategic Planningunmatched
- Test Plan/Scheduleunmatched
- Training/Teachingunmatched
- Use Casesunmatched
- White Papersunmatched
Description
Job Description
In the assigned Job Role of Data Science Consultant 3, your Area Of Responsibility will be as below:
- Review data preparation tasks, and plans to address patterns or anomalies, while ensuring data readiness for advanced modeling and AI.
- Review models for complex use cases (e.g., forecasting models, LLM-based solutions), and refine algorithms to meet business needs.
- Review plan for smooth deployment into scalable, production-ready solutions.
- Review test plans and test results for analytics use cases, while defining optimization standards for model accuracy and stability, in alignment with business goals.
- Build models and analytics solutions tailored to business needs.
- Ensure quality and scalability across client engagements while actively contributing to knowledge assets and innovation streams.
- 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.
- Review and refine analytics problems; identify data sources and extract from diverse environments.
- Oversee analysis execution and drive business insights.
- Create monitoring strategies across multiple projects, embedding governance frameworks to ensure robustness, reliability, and risk awareness.
- Review monitoring frameworks, refine documentation/reporting templates, and present insights on anomalies or slippages to stakeholders.
- Refine documentation strategy across teams, ensuring transparency and reproducibility of complex analytics solutions.
- Collaborate with cross-functional teams, ensuring alignment between analytics delivery and business strategy.
- Review analytics outputs for adherence to quality frameworks and project commitments.
- Recommend improvements to quality metrics and guide team members to align with standards.
- Identify and recommend model changes needed for successful deployment.
- Engage in creation and refinement of IP assets such as analytics prototypes and accelerators.
- Develop insights, whitepapers, and proof-of-concept summaries that highlight innovative thinking.
- Review innovative models and applications in non-ML, ML, deep learning, or LLM areas.
- Support participation in forums and internal knowledge exchanges.
- Deliver training sessions on technical and analytics-specific topics.
- Collaborate on content creation and mentor team members through hands- on guidance in live projects.
- Provide input for segment and unit-level business plans.
Your contribution to the team:
- A strong focus on innovation and scalable analytics solutions.
- Proactive problem-solving ability for complex, data-driven business challenges.
- Deep technical expertise across advanced modeling and AI use cases.
- A strategic mindset to align analytics with business goals.
- Ability to mentor team members and drive continuous improvement.
- Strong communication and knowledge-sharing capabilities.
Numbers & Facts
| Location | Newjersey, NJ |
| Industry | Computer/IT Services |
| Company Size | 10,000 employees or more |
| Website | https://www.infosys.com/careers |