Solutions Analytics Architect
1 week ago
**Job Summary**
- This role is responsible for leveraging expertise to design, develop, and implement cutting-edge Machine Learning and Data Science models that solve complex challenges and enhance business processes. The role collaborates with cross-functional teams, to transform data into actionable insights.
**Responsibilities**
- Architects, develops and programs integrated solutions, to derive insights in the solutions analytics space.
- Builds and maintains robust data pipelines and monitoring systems in distributed computing environments.
- Defines collection protocols and analyzes data sources; develops, trains and evaluates models; creates visualizations of data properties and model performance.
- Establishes and optimizes scalable processes for large-scale data operations to drive ML product improvements.
- Engages with business and analytics teams to translate data requirements into technical solutions leveraging machine learning principles.
- Collaborates with DevOps teams to integrate models into production systems and automate deployment processes.
- Validates, communicates, and monitors the delivery of customer requirements for AI/ML solutions.
- Stays up-to-date with the latest advancements in machine learning and related technologies.
**Education & Experience Recommended**
- Four-year or Graduate Degree in Computer Science, Statistics, Mathematics, Data Science or any other related discipline or commensurate work experience or demonstrated competence.
- Typically has 7-10 years of work experience, preferably in computer programming languages, machine learning, algorithms, statistical methods, data visualization or a related field.
- Ideally should have some amount of past experience on doing analytics on digital products ex: click stream analytics, digital analytics
**Knowledge & Skills**
- Agile Methodology
- Algorithms
- Amazon Web Services
- Apache Spark
- Artificial Intelligence
- Automation
- Big Data
- Computer Science
- Data Science
- Deep Learning
- Machine Learning
- Natural Language Processing
- Python (Programming Language)
- PyTorch (Machine Learning Library)
- Scikit-learn (Machine Learning Library)
- Software Engineering
- TensorFlow
**Cross-Org Skills**
- Effective Communication
- Results Orientation
- Learning Agility
- Digital Fluency
- Customer Centricity
**Impact & Scope**
- Impacts function and leads and/or provides expertise to functional project teams and may participate in cross-functional initiatives.
**Complexity**
- Works on complex problems where analysis of situations or data requires an in-depth evaluation of multiple factors.
**Disclaimer
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