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Softsensor.ai is hiring for a FRESHER entry level Associate Data Scientist role in India




Position:
• Associate Data Scientist
• Entry level fresher focused role designed for early career professionals
• Role centered on applied data science, analytics, and machine learning practices
• Opportunity aimed at candidates looking to transition academic learning into industry execution
• Position involves hands on exposure to business problems through structured data analysis
• Designed for individuals interested in artificial intelligence driven decision making

Company:
• Softsensor.ai
• Data and analytics focused organization operating across India and the United States
• Company works with clients to extract value from data using modern analytical approaches
• Known for applying artificial intelligence, machine learning, and advanced analytics to business use cases
• Organization emphasizes outcome driven delivery and measurable business impact
• Team consists of experienced professionals from global consulting and technology backgrounds

Location:
• Gurgaon, India
• Jaipur, India
• Role may involve collaboration with teams across multiple locations
• Exposure to diverse project environments based on client needs
• Opportunity to work within fast growing technology hubs

Job type:
• Full time employment
• Permanent role with long term career growth opportunities
• Structured work schedule with defined deliverables
• Suitable for candidates seeking stability and learning based growth

Job mode:
• Onsite
• Work primarily from office locations in Gurgaon or Jaipur
• Collaboration with cross functional teams in a shared workspace
• Direct interaction with mentors, managers, and technical teams

Job requisition id:
• Not explicitly specified by the employer
• Role listed as Associate Data Scientist Fresher
• Official identification managed internally by the hiring organization

Years of experience:
• Zero years of mandatory experience  (0-3 years as per the JD)
• Open to fresh graduates
• Suitable for candidates with academic projects, internships, or self learning exposure
• No prior full time industry experience required

Company description:
• Softsensor.ai is a data focused corporation with operations in both India and the United States
• The organization specializes in delivering measurable outcomes to clients through data driven solutions
• The company combines skilled professionals, proven methodologies, and accelerators to deploy solutions efficiently
• Leadership team includes individuals with strong backgrounds in global consulting firms and large corporations
• Softsensor.ai focuses on solving real world business problems using analytics and artificial intelligence
• The organization applies data science to improve operational efficiency, business performance, and decision making
• Projects are designed to align analytical outputs with business objectives rather than theoretical models
• The company actively works on modern technologies such as natural language processing, convolutional neural networks, and recurrent neural networks
• These advanced techniques are applied within practical business contexts to generate tangible value
• Softsensor.ai emphasizes continuous learning and exposure to cutting edge tools for its team members
• The company culture encourages curiosity, analytical thinking, and structured problem solving
• Employees are given opportunities to work across industries and domains depending on project requirements
• The organization maintains a balance between technical depth and business relevance
• Softsensor.ai aims to build scalable, reliable, and efficient data driven systems for its clients
• The company values collaboration, clarity in communication, and accountability in execution
• Team members are encouraged to contribute ideas and improve analytical processes
• The firm has an established presence in hiring and developing early career talent
• Softsensor.ai focuses on long term partnerships with clients rather than one time engagements
• The organization invests in building internal capabilities aligned with evolving data science practices

Profile overview:
• The Associate Data Scientist role is designed for freshers entering the data science profession
• This position provides exposure to real business datasets and analytical challenges
• The role involves working closely with experienced data engineers, analysts, and business stakeholders
• Candidates will be involved in transforming raw data into actionable insights
• The profile emphasizes learning by doing under structured guidance
• Associates are expected to understand business problems and translate them into analytical tasks
• The role requires curiosity to explore data patterns and trends
• Individuals will contribute to designing data collection and analysis workflows
• The position supports building strong foundations in statistics, machine learning, and data analysis
• Candidates will work on cleaning, validating, and preparing datasets for analysis
• The role encourages developing skills in presenting insights clearly to non technical audiences
• Associates will assist in creating reports and dashboards for business users
• The position includes exposure to predictive modeling and applied machine learning
• Individuals will work with structured and semi structured data sources
• The role supports learning modern tools used in analytics and data science projects
• Candidates will gain experience working within cross functional teams
• The profile is suitable for individuals who enjoy problem solving and logical thinking
• Associates will learn how data driven decisions are made in real business scenarios
• The role supports gradual growth from basic analysis to more advanced modeling tasks
• This position offers a pathway to build a long term career in data science and analytics

Qualifications:
• Bachelor’s degree in Statistics, Computer Science, Information Systems, or a related discipline
• Strong academic foundation in mathematics, statistics, or computing concepts
• Understanding of data analysis principles and methodologies
• Familiarity with data science and analytics concepts through coursework or projects
• Exposure to machine learning techniques such as regression, classification, and clustering
• Basic understanding of artificial intelligence and deep learning concepts
• Knowledge of natural language processing concepts is an advantage
• Proficiency in Python programming for data analysis tasks
• Working knowledge of SQL for querying relational databases
• Familiarity with data visualization tools and reporting techniques
• Awareness of data modeling and database design principles
• Exposure to statistical analysis tools and methods
• Understanding of data cleaning and preprocessing techniques
• Ability to work with structured datasets and interpret results
• Willingness to learn new tools and technologies as required
• Strong analytical thinking and logical reasoning abilities
• Attention to detail when working with data and reports
• Ability to communicate analytical findings clearly
• Openness to feedback and continuous improvement
• Interest in building a career in data science and analytics

Additional info:
• Annual compensation ranges between five lakh and six lakh INR
• Role is classified as a fresher job suitable for recent graduates
• Five day work week is offered
• Multiple openings are available for this position
• Hiring process is active and ongoing
• Role offers exposure to industry standard tools and platforms
• Opportunity to work on projects involving artificial intelligence and machine learning
• Candidates will gain experience with real client data and business scenarios
• Supportive environment for learning and skill development
• Mentorship from experienced professionals is available
• Opportunity to build a strong professional portfolio through project work
• Role encourages collaboration across technical and business teams
• Exposure to cloud platforms such as Azure and AWS may be provided
• Candidates will learn best practices in data quality and data governance
• Opportunity to understand end to end analytics project lifecycles
• Role supports gradual career progression based on performance
• Work environment emphasizes accountability and clarity
• Candidates are expected to maintain professionalism and ethical data usage
• Organization values long term association with employees
• Position offers a strong foundation for future roles in analytics and data science


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