Associate Data Scientist - Artificial Intelligence and Machine Learning

Role Overview:

YASH Technologies is seeking AI/ML Professionals to join their team. As an Associate Data Scientist, you will work as an individual contributor with a high degree of accountability, presenting data impactfully through visualization tools, discovering trends and patterns using Data Science Tools, and developing core ML solutions in python/R. Your responsibilities will include data congestion, data pre-processing, data cleaning, feature engineering, feature selection, model development, and model tuning.

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 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

Certifications:

• Good To Have: AZ-900: Microsoft Azure Fundamentals, AWS Certified Cloud Practitioner, ITIL V4 Foundation, GCP Associate

(Note: The additional details of the company were not explicitly mentioned in the provided job description.) Role Overview:

YASH Technologies is seeking AI/ML Professionals to join their team. As an Associate Data Scientist, you will work as an individual contributor with a high degree of accountability, presenting data impactfully through visualization tools, discovering trends and patterns using Data Science Tools, and developing core ML solutions in python/R. Your responsibilities will include data congestion, data pre-processing, data cleaning, feature engineering, feature selection, model development, and model tuning.

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