Data Science
ACG
Job Objective
- Analyze IIOT big Datasets and provide actionable insights to drive business process improvements
- Develop machine learning models to improve efficiency and effectiveness of products/processes
- Align with organizational strategy for IIoT projects.
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 insightful dashboards using data visualization software
- Maintain / Monitor ETLs associated with data required for execution of deployed models
- Support integration of tested and validated models with IIOT application products
Key Result Areas
Technical:
1. Supervised / Semi Supervised/ Unsupervised model development and deployment:
o Should have minimum 3 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
2. Data Analysis and Visualization
o 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.,
3. Data Engineering
o Should have minimum one year of experience in ETLs and Data pipelines in IIOT, Cloud and Big Data environments
o Preferred to have experience in Microsoft azure data lake, Azure DataBricks, Thingworx, PostgreSQL, Ubuntu, Windows etc., environments
4. Coding:
o Should have minimum 3 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)
o Factory Analytics
o Product Reliability Analytics
o Total Productive Maintenance
o After Market Sales and Service
o Embedded Systems/Sensors
Key Interfaces
Customer Experience:
- Proactive and regular communication through email, calls or personal visits with all customers.
- Prompt action for any issues raised by customer
Educational and Experience Requirements
Key Educational Qualification and Experience:
- Any Bachelor’s degree in Engineering OR Master’s Degree in Statistics/Computer Applications/ IT/Analytics /any discipline related to Data Science
- Minimum 4 years of overall experience
- Minimum 3 years of experience in Data Science and should have worked on Predictive Analytics related areas
- Industry: IT/Software Industry /R&D/Consulting/Engineering/Manufacturing
Background requirement:
- Data Scientist with 3-5 years of work experience in developing AI/machine learning models, interactive data visualization dashboards and with knowledge of ETLs, Data Pipelines, Databases in Bigdata / IIOT environment
- Should have worked on Predictive Analytics related areas
To apply for this job please visit careers.acg-world.com.