Present data impactfully with the help of visualization tools
Discover trends and patterns using Data Science Tools
Work in python/R to develop core ML solutions with data congestion, data pre-processing, data cleaning, feature engineering, feature selection, model development, and model tuning
Have a basic knowledge of customer's business processes and relevant technology platform or product
Able to prepare process maps, workflows, business cases, and simple business models in line with customer requirements with assistance from SME and apply industry standards/practices in implementation with guidance from experienced team members
Have a basic knowledge of requirement management processes and requirement analysis process, tools, and methodologies
Able to prototype/design a prototype of an example system to be demonstrated to stakeholders and extract functional/non-functional requirements from business requirements and document a system/software requirements specification for low to medium complexity scenarios
Work with technology product/platform standards and specifications
Analyze various frameworks/tools, review the code, and provide feedback on improvement opportunities
Have high-level awareness of a wide range of core data science/analytics techniques, their advantages, disadvantages, and areas of application
Familiar with a wide range of mainstream commercial & open-source data science/analytics software tools, their constraints, advantages, disadvantages, and areas of application
Understand basic mathematical concepts and introductory statistical concepts
Create simple visualizations using basic tools
Understand data modeling concepts and perform basic mathematical calculations
Familiarity with common programming languages and basic statistical concepts
Qualifications Required:
Accountability: Takes ownership for and ensures accuracy of own work, meets deadlines, and asks questions about possible gaps to ensure clarity of ownership
Agility: Demonstrates a willingness to accept and embrace differing ideas or perceptions which are beneficial to the organization
Collaboration: Participates in team activities and reaches out to others in the team to achieve common goals
Customer Focus: Displays awareness of customer's stated needs and gives priority to meeting and exceeding customer expectations at or above expected quality within stipulated time
Communication: Effectively communicates in written and oral form, well-organized thoughts to others. Speaks openly and honestly with all employees
Drives Results: Demonstrates a 'can do' attitude and is willing to stretch self to achieve and exceed defined goals/targets
Key Responsibilities:
Present data impactfully with the help of visualization tools
Discover trends and patterns using Data Science Tools
Work in python/R to develop core ML solutions with data congestion, data pre-processing, data cleaning, feature engineering, feature selection, model development, and model tuning
Have a basic knowledge of customer's business processes and relevant technology platform or product
Able to prepare process maps, workflows, business cases, and simple business models in line with customer requirements with assistance from SME and apply industry standards/practices in implementation with guidance from experienced team members
Have a basic knowledge of requirement management processes and requirement analysis process, tools, and methodologies
Able to prototype/design a prototype of an example system to be demonstrated to stakeholders and extract functional/non-functional requirements from business requirements and doc
