Data Scientist, Engineering

Job Descriptions

Job Responsibilities:
01)    Execute analytical experiments methodically to help solve various problems and make a true impact across various domains and industries.
02)    Aggregate and transform raw data coming from a variety of data sources to fulfil the functional and non-functional business needs.
03)    Performance optimization using AI / ML: Automating processes, optimizing data delivery and redesigning the complete architecture to improve performance.
04)    Handling, transforming and managing big data using Big Data Frameworks and NoSQL databases.
05)    Building complete infrastructure to ingest, transform and store data for further analysis and business requirement.
06)    Devise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy.
07)    Analyse data for trends and patterns, and Interpret data with a clear objective in mind.
08)    Use Machine Learning [real-time data] analyse performance data to optimize process and product performance.
09)    Link between the product and production performance, revolutionizing how manufactures work together with asset operators and customers, enhancing collaboration, accelerating innovation, designing smarter products and creating new services.
10)    Work as the lead data strategist, identifying and integrating new datasets that can be leveraged through our product capabilities and work closely with the engineering team to strategize and execute the development of data products.

Job Requirements:
01)    At least Degree in Data Analytics / Data Science.
02)    Require a minimum experience of 2 or 3 years working on Data Science & BI tools, or any data-specific roles.
03)    Excellent written and verbal communication skills.
04)    Attention to detail, Resourceful and problem-solving skills.
05)    Excellent time management skills and ability to multi-task and prioritize work.
06)    Proficient in MS Office software skills (Microsoft Word, Outlook, PowerPoint and Excel).
07)    Team player and able to work independently with minimal supervision.
08)    Excellent time management skills and ability to multi-task and prioritize work.
09)    Provision on python coding / Modeling ML OPS.