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

Position:

• Associate Data Scientist

• Entry level role designed for fresh graduates and early career professionals

• Focused on hands on exposure to real world data problems

• Opportunity to work closely with experienced data professionals

• Role intended to build strong foundations in analytics and applied data science

• Designed for candidates starting their professional journey in data roles

Company:

• SoftSensor.ai

• Data focused organization operating in both India and the United States

• Known for delivering business outcomes using advanced data driven methods

• Works with clients across industries to improve performance using analytics

• Team driven culture with emphasis on learning and collaboration

• Organization backed by leadership with global consulting experience

Location:

• Gurgaon, India

• Jaipur, India

• Candidate may be assigned to either location based on business needs

• Work environment provides access to analytics teams and stakeholders

• Office based collaboration with exposure to cross functional teams

Job type:

• Full time employment

• Permanent role

• Direct hiring by the company

• Structured onboarding for freshers

• Long term growth oriented opportunity

Job mode:

• Onsite

• Daily collaboration with team members from office locations

• Direct access to mentors and leadership

• Participation in live projects and internal discussions

Job requisition id:

• Not explicitly stated by the employer

• Internally tracked by the hiring organization

• Used for recruitment and internal coordination purposes

Years of experience:

• Zero years required

• Open exclusively for freshers (0-3)

• Suitable for candidates with academic exposure and project experience

• No prior industry experience mandatory

Company description:

• SoftSensor.ai operates as a data driven organization with a clear mission to help clients make better decisions through analytics and data science

• The company brings together professionals with strong backgrounds in consulting technology and large scale solution delivery

• Its core strength lies in combining people processes and accelerators to deploy solutions efficiently

• The organization works with structured and unstructured data across multiple business domains

• Focus areas include analytics automation predictive modeling and intelligent systems

• The leadership team has previously worked with global consulting firms and multinational corporations

• This experience enables SoftSensor.ai to design scalable and practical data solutions

• The company invests heavily in advanced technologies such as natural language processing neural networks and deep learning

• These technologies are applied directly to real business problems rather than remaining theoretical

• SoftSensor.ai places strong emphasis on outcome driven delivery rather than isolated analysis

• Teams collaborate closely with clients to understand objectives and constraints

• Solutions are built with long term usability and business adoption in mind

• The work culture encourages curiosity experimentation and continuous improvement

• Employees are encouraged to learn new tools techniques and frameworks

• The organization supports professional growth through exposure to varied projects

• Engineers and analysts work together to ensure data quality and system reliability

• SoftSensor.ai aims to create measurable impact across operations customer experience and revenue

• Ethical data use and responsible analytics form part of the organizational values

• The company continues to expand its footprint in analytics and data science services

• Its India operations support both domestic and international client engagements

Profile overview:

• The Associate Data Scientist role is designed to introduce candidates to real world analytics environments

• The position focuses on transforming raw data into meaningful insights

• Candidates will work on end to end data tasks starting from data collection to reporting

• The role requires close collaboration with data engineers analysts and business stakeholders

• Freshers will gain exposure to structured and unstructured datasets

• Responsibilities include understanding business problems and translating them into data questions

• The role emphasizes learning through practical application rather than isolated training

• Candidates will support senior team members in analytical modeling and reporting

• The position encourages development of strong problem solving abilities

• Associates will work with multiple data sources including internal systems and external feeds

• The role involves frequent interaction with dashboards reports and analytical outputs

• Candidates will be trained to identify trends patterns and anomalies in data

• Emphasis is placed on accuracy consistency and attention to detail

• Associates will help prepare insights that support business decision making

• The role provides exposure to predictive analytics and customer behavior analysis

• Communication skills are important as insights must be explained clearly

• The position allows candidates to understand how analytics drives business value

• Associates will learn how to prioritize tasks based on business impact

• The role supports career progression into advanced data science positions

• It serves as a foundation for long term growth in analytics and machine learning careers

Qualifications:

• Bachelor degree in statistics computer science information systems or related discipline

• Strong academic foundation in mathematics and logical reasoning

• Basic understanding of data analysis concepts and methodologies

• Familiarity with data science principles through coursework or projects

• Knowledge of Python programming for data analysis tasks

• Understanding of SQL for working with relational databases

• Exposure to machine learning concepts such as regression classification and clustering

• Awareness of deep learning and natural language processing concepts

• Basic experience with data visualization tools through academic work

• Understanding of statistical methods used in data analysis

• Ability to interpret data outputs and derive logical conclusions

• Willingness to learn new tools frameworks and technologies

• Strong analytical thinking and structured problem solving ability

• Attention to detail when working with datasets and reports

• Ability to work collaboratively in a team environment

• Clear communication skills for explaining analytical findings

• Comfort working with numbers large datasets and reports

• Basic understanding of cloud platforms such as AWS or Azure preferred

• Familiarity with Excel and analytical add ons considered beneficial

Additional info:

• Annual compensation is offered in the range of five to six lakh rupees

• Compensation structure is aligned with entry level industry standards

• Role includes standard benefits such as health insurance

• Work schedule follows a five day working week

• Number of open positions is limited which increases competition

• Candidates are expected to join immediately or within short notice

• Selection process focuses on analytical ability and learning mindset

• Prior professional experience is not mandatory for this role

• Academic projects internships or certifications may add value

• Role offers exposure to enterprise level data science practices

• Candidates will work on real client driven use cases

• Performance based growth opportunities are available

• Learning on the job is a key aspect of the role

• Mentorship from experienced professionals is part of the work environment

• Candidates are expected to adhere to data confidentiality standards

• Ethical use of data and compliance with policies is mandatory

• Internal training may be provided for selected tools and frameworks

• Growth into higher analytics or data science roles is possible

• The role suits individuals interested in long term careers in data

• Strong commitment and consistency are expected from selected candidates

Please click here to apply.