Job Location: Mumbai (All Areas)
Roles and Responsibilities
Job Overview:
The Global Knowledge Solutions (GKS) organization catalyzes the creation, transfer, and application of knowledge to ensure ITQ succeeds at its mission of driving internal and external innovation, developing differentiated technology, and engendering trust through food safety and quality.
The scientists in the Statistics and Analytics Program Area will collaborate with US and India GKS team members to deliver high value visualization work that advances ITQ initiatives in consumer product research, health and nutrition science, research and development, and quality improvement.
The Data Scientist in this program area will be responsible for: maintenance, improvement, cleaning, and manipulation of data in the businesss operational and analytics databases. The data scientist will support our statisticians and analysts on data initiatives and will ensure optimal data delivery architecture is consistent throughout the year. He/She should be tasked with designing and developing scalable ETL packages from the business source systems and the development of ETL routines in order to populate databases from sources and also to create aggregates. Also, oversee large-scale data Hadoop platforms and to support the fast-growing data within the business.
Responsibilities:
15% of Time
Client Consultation and Business Partnering
Work effectively with clients to identify client needs and success criteria, and translate into clear project objectives, timelines, and plans.
Be responsive and timely in sharing project updates, responding to client queries, and delivering on project commitments.
Clearly communicate analysis, conclusions, and insights, and conclusions to clients using written reports and real-time meetings.
70%of Time
Excellent Technical Work
Build the infrastructure required for optimal extraction, transformation and loading of data from a wide variety of data sources using SQL
Work with data and analytics experts to strive for greater functionality in our data systems.
Help to implement new data management projects and re-structure of the current data architecture.
Compile existing excel data files and build database structure to push and pull the data from Data Lake
Develop dataset processes for data modelling, mining and production
Recommend ways to improve data reliability, efficiency and quality
Build visualizations that utilize the data pipeline to provide actionable insights into key business performance metrics.
Ability to deliver outstanding results through task prioritization & time management trends and insights
10% of Time
Innovation, Continuous Improvement (CI), and Personal Development
Learn and apply a CI mindset to work, seeking opportunities for improvements in efficiency and client value.
Identify new resources, develop new methods, and seek external inspiration to drive innovations in our work processes.
Continually build skills and knowledge in the fields of visualization, and the relevant area.
5% of Time
Administration
Participate in all required training (Safety, HR, Finance, CI, other) and actively GKS, and ITQ meetings, events and activities.
Complete other administrative tasks as required.
Desired Candidate Profile
Data Cleaning, Data Extraction, SQL, Cloud computing, AWS, MS Azure
Perks and Benefits
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