Position:
• Associate Data Scientist
• Entry level opportunity created for fresh graduates who want to begin a professional journey in data science
• Role structured to provide exposure to real business data problems and analytical thinking
• Designed for candidates looking to apply academic knowledge in practical industry scenarios
• Focus on building strong foundations in analytics, machine learning, and applied artificial intelligence
• Opportunity to work on end to end data workflows from understanding requirements to presenting insights
• Role emphasizes continuous learning and hands on contribution rather than theoretical work alone
Company:
• Softsensor.ai
• Data driven organization with operations in India and the United States
• Works with clients across multiple domains using analytics and data science
• Known for outcome focused delivery rather than experimental or academic projects
• Team consists of professionals with backgrounds in global consulting firms and large enterprises
• Organization values practical implementation of data solutions
• Focuses on long term partnerships with clients through measurable impact
Location:
• Gurgaon, India
• Jaipur, India
• Work conducted from office locations
• Collaboration with internal teams located across different regions
Job type:
• Full time role
• Permanent employment opportunity
• Long term association with growth prospects
Job mode:
• Onsite
• Daily collaboration with team members in office
• In person discussions with technical and business stakeholders
Job requisition id:
• Not specified by the company
• Managed internally by the hiring organization
Years of experience:
• Zero years required (0-3)
• Suitable for freshers and recent graduates
• Open to candidates starting their first professional role
Company description:
• Softsensor.ai is a data focused organization that helps clients achieve business outcomes through analytics and artificial intelligence
• The company operates across India and the United States, allowing teams to work on globally relevant projects
• Its approach combines skilled professionals, structured methodologies, and reusable analytical components
• Leadership at Softsensor.ai brings experience from established consulting firms and multinational corporations
• The organization specializes in converting raw and complex data into actionable insights
• Strong emphasis is placed on solving real business problems using data rather than building isolated models
• The company actively applies modern data science techniques such as natural language processing and deep learning
• These techniques are used in real business contexts across industries
• Softsensor.ai believes in building scalable and sustainable analytics solutions
• Teams work closely with client stakeholders to understand objectives and constraints
• The work culture promotes collaboration between data scientists, engineers, and business teams
• Ethical handling of data and responsible use of analytics are treated as essential principles
• Employees are encouraged to strengthen fundamentals while adapting to new tools and methods
• The organization supports professional growth through exposure to diverse datasets and problem statements
• Learning is embedded into daily work through mentoring and hands on experience
Profile overview:
• The Associate Data Scientist role is designed to bridge the gap between academic learning and industry practice
• Candidates work on analyzing structured and unstructured datasets to extract insights
• The role involves understanding business requirements before applying analytical techniques
• Associates collaborate with data engineers to understand data pipelines and storage systems
• The position includes cleaning and preparing data to ensure accuracy and reliability
• Employees identify trends, correlations, and patterns within large datasets
• The role supports building predictive and descriptive models under guidance
• Associates contribute to improving customer experience and business performance through analytics
• Communication of findings through reports and presentations is a key responsibility
• The profile encourages curiosity and problem solving rather than rote execution
• Exposure is provided across multiple stages of the analytics lifecycle
• Candidates learn how analytics supports strategic and operational decisions
• The role emphasizes teamwork and interaction with non technical stakeholders
• Associates gain experience in balancing technical depth with business understanding
• The position supports gradual ownership of tasks as skills mature
Qualifications:
• Bachelor’s degree in Statistics, Computer Science, Information Systems, or related fields
• Academic exposure to data analysis or computational subjects
• Understanding of basic statistical concepts and data interpretation
• Familiarity with programming concepts and logic building
• Exposure to Python for data handling and analysis
• Basic understanding of SQL for working with databases
• Awareness of machine learning concepts such as regression and classification
• Interest in artificial intelligence and applied analytics
• Willingness to learn data visualization tools and reporting methods
• Ability to work with structured datasets such as tables and records
• Basic understanding of probability and statistical inference
• Comfort with spreadsheets and data manipulation
• Good communication skills for explaining analytical findings
• Strong attention to detail when working with data
• Motivation to grow in a fast paced data environment
Additional info:
• Annual compensation offered ranges between five lakh and six lakh rupees
• Role follows a five day work week
• Multiple openings are available for this position
• Candidates gain exposure to tools used in real industry projects
• Work includes collaboration with senior data professionals
• Opportunity to learn cloud platforms used for analytics workloads
• Role supports development of problem solving and analytical thinking
• Performance based growth opportunities are available
• Organization encourages ownership and accountability from early stages
• Freshers receive guidance while being expected to show initiative
• Role supports long term career growth in analytics and data science
• Work environment values clarity, discipline, and professionalism
• Exposure to business use cases across industries
• Opportunity to build a strong foundation for advanced data roles
Please click here to apply.
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