Data Science
4 days ago
Group Company- SciTech Centre- Primary Responsibilities- Supervised/Unsupervised model/s development and deployment to provide artificial
- Intelligence to optimize Business/Functional processes efficiency and effectiveness metrics
- Query on Databases for data extraction, Handle Bigdata sets and develop interactive and isightful dashboards using data visualization software
- Maintain / Monitor ETLs associated with data required for execution of deployed models
- Key Result Areas- The Role: Impact & Contribution- Ability to analyze IIOT big Datasets and provide actionable insights to drive business process improvements
- Ability to develop machine learning models to improve efficiency and effectiveness of products/processes
- Ability to align with organizational strategy for IIoT projects.
- Key Interfaces**Customer Experience**:
- Prompt action for any issues raised by customer
- Educational and Experience Requirements**Key Competencies Required**:
**Technical**:
**Supervised / Semi Supervised/ Unsupervised model development and deployment**:
- Should have minimum 5 years of experience in developing and deployment of minimum
- 5 models and witnessed different lifecycle stages of these models like requirement
- gathering, acquire data, preprocess data, model development, testing, validation,
- tracking effectiveness and redevelop /finetune as required
- **Data Analysis and Visualization**:
- Should have minimum 2 years of experience in handling large datasets, analyze, report
- actionable insights, and develop interactive dashboards using at least one of the following software:
- PowerBI / Tableau / Qlikview / RShiny/ Plotly/ Dash etc.,
- **Data Engineering**:
- Should have minimum one year of experience in ETLs and Data pipelines in IIOT, Cloud and Big Data environments
- Preferred to have experience in Microsoft azure data lake, Azure DataBricks,
- Thingworx, PostgreSQL, Ubuntu, Windows etc., environments
- **Coding**:
- Should have minimum 2 years of experience in at least two of the following languages:
- PySpark / Python / R /Java / Scala/SQL/SparkR/SparkSQL etc.,
- Domain Knowledge: (Should have functional knowledge and ML model development experience in at least one of the following domains)
- Factory Analytics
- Product Reliability Analytics
- Total Productive Maintenance
- After Market Sales and Service
- Embedded Systems/Sensors- Technical Competencies & Personas- Coding (PySpark / Python / R /Java / Scala/SQL/SparkR/SparkSQL)- AI - Deep Learning, Python, R- Data Engineering- Persona-Entrepreneur- Persona-Integrator- Communication
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