Associate Data Scientist - AI ML 1 Job

YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation.

At YASH, we’re a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth – bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future.

We are looking forward to hire AI/ML Professionals in the following areas :

Experience

1-3 Years

Job Description

• Perform as an individual contributor with high degree of accountability with minimum assistance
• Presents 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
  
  

Required Technical/ Functional Competencies

Domain/ Industry Knowledge:

• Basic knowledge of customers 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.
  
  

Requirement Gathering And Analysis

• 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.
  
  

Product/Technology Knowledge

• Working knowledge of technology product/platform standards and specifications.
• Able to implement code or configure/customize products and provide inputs in design and architecture adhering to industry standards/ practices in implementation.
• Analyse various frameworks/tools, review the code and provide feedback on improvement opportunities.
  
  

Analytics Solution Design

• High-level awareness of a wide range of core data science/analytics techniques, their advantages, disadvantages, and areas of application.
• Able to identify the causes of errors and their potential solutions with some support.
  
  

Tools & Platform Knowledge

• Familiar with wide range of mainstream commercial & open-source data science/analytics software tools, their constraints, advantages, disadvantages, and areas of application.
  
  

Mathematical & Statistical Analysis

• Understanding basic mathematical concepts (e.g., algebra, calculus) and introductory statistical concepts (mean, median, standard deviation).
• Able to perform basic mathematical calculations and conduct simple statistical analyses with guidance.
  
  

Data Visualization

• Basic understanding of common visualization types (e.g., bar charts, line charts).
• Can create simple visualizations using basic tools (e.g., Excel, basic charting libraries).
  
  

Data Modeling & Evaluation

• Basic understanding of data modelling concepts.
• Familiarity with basic statistical measures and evaluation metrics.
• Can create simple data models with guidance.
• Can use basic evaluation metrics to assess model performance.
  
  

Feature Engineering

• Basic understanding of data types and structures.
• Familiarity with common programming languages (e.g., Python, R).
• Awareness of basic statistical concepts.
• Ability to manipulate data using libraries like Pandas or NumPy.
• Execute simple feature transformations, such as scaling and normalization.
• Basic awareness of the importance of feature selection.
  
  

Accountability

Required Behavioral Competencies

• 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 team to achieve common goals.
  
  

Customer Focus

• Displays awareness of customers 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

At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale.

Our Hyperlearning workplace is grounded upon four principles

• Flexible work arrangements, Free spirit, and emotional positivity
• Agile self-determination, trust, transparency, and open collaboration
• All Support needed for the realization of business goals,
• Stable employment with a great atmosphere and ethical corporate culture

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