Full Job Description
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
Technical Competencies & Personas
AI / ML Model Development & Deployment
Data Analysis and Visualization
Data Engineering
Domain knowledge
IIoT Domain Knowledge
Experience in Big Data
Coding (PySpark / Python / R /Java / Scala/SQL/SparkR/SparkSQL)
Communication
Problem Solving
Innovation
Cross Functional Team Working
Persona-Builder
Persona-Integrator