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.
Job Description
Job Description
In the assigned Job Role of Data Science Consultant 1, your Area Of Responsibility will be as below:
- Participate in data extraction, transformation, and preparation.
- Resolve common data issues and ensure quality for model development.
- Participate in developing models using statistical or machine learning techniques and collaborate with technology teams to operationalize them into analytics tools or scripts.
- Participate in model testing and validation, selecting the best-performing algorithms based on statistical and business metrics.
- Participate in the development of advanced analytics and machine learning or deep learning models including LLMs using predefined processes and tools like SAS and R/ Python.
- Participate in defining analytics problems; execute visualization, analysis, and predictive modeling with senior support.
- Identify data sources and extract from RDBMS and develop UI/UX for client usage.
- Participate in model performance, while making minor adjustments, and escalate risks or compliance concerns and generate reports on deviations or schedule slippages.
- Proactively participate in detailed documentation of model development, testing, and deployment activities for reproducibility.
- Work closely with business and technology teams to translate requirements into actionable models, while communicating results effectively.
- Apply predefined quality measurement frameworks, if any, to individual project tasks.
- Participate in deploying analytics tools in test and production environment, while ensuring they meet operational requirements.
Your contribution to the team:
- Strong analytical and problem-solving mindset with hands-on model development skills.
- Ability to translate business needs into actionable analytics solutions.
- Focus on data quality, validation and performance optimization.
- Effective collaboration with business and technology stakeholders.
- Commitment to continuous learning, knowledge sharing, fostering team development.
Numbers & Facts
| Location | Raleigh, NC |
| Industry | Computer/IT Services |
| Company Size | 10,000 employees or more |
| Website | https://www.infosys.com/careers |
About Company
Infosys is a global leader in next-generation digital services and consulting. We enable clients in 45 countries to navigate their digital transformation.
Skills
- Analysis Skillsunmatched
- Business Skillsunmatched
- Communication Skillsunmatched
- Consultingunmatched
- Data Qualityunmatched
- Data Scienceunmatched
- Deep Learningunmatched
- Documentation Modelsunmatched
- Machine Learningunmatched
- Metricsunmatched
- Model Validationunmatched
- Performance Modelingunmatched
- Performance Tuning/Optimizationunmatched
- Predictive Modelingunmatched
- Problem Solving Skillsunmatched
- Production Systemsunmatched
- Python Programming/Scripting Languageunmatched
- Quality Metricsunmatched
- R Programming Languageunmatched
- Relational Databases (RDBMS)unmatched
- Reporting Skillsunmatched
- Requirements Managementunmatched
- Scripting (Scripting Languages)unmatched
- Statistical Algorithmsunmatched
- Statistical Analysis System (SAS)unmatched
- Statistical Modelingunmatched
- Team Buildingunmatched
- Test Plan/Scheduleunmatched
- Test Toolsunmatched
- User Interface/Experience (UI/UX)unmatched
- Validation Testingunmatched
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