SoftSensor AI is hiring for an FRESHER entry level Associate Data Scientist role in India

Position:

• Associate Data Scientist
• Entry level opportunity designed for individuals starting their journey in data science and analytics
• Role focuses on applying analytical thinking, data interpretation, and machine learning fundamentals in real business scenarios
• Ideal for candidates who are passionate about working with data and building insights that impact business decisions

Company:

• SoftSensor AI
• A data-focused organization operating across India and the United States
• Known for delivering data-driven solutions that help businesses improve operational efficiency and decision-making
• Works with modern technologies in data science, artificial intelligence, and advanced analytics

Location:

• Gurgaon, India
• Jaipur, India
• Candidates may be placed in either of the above locations based on business requirements

Job type:

• Full-time opportunity
• Permanent role with long-term growth prospects within the organization

Job mode:

• Onsite work environment
• Collaboration with internal teams including engineers, analysts, and business stakeholders

Job requisition id:

• Not explicitly mentioned, internal hiring reference applicable

Years of experience:

• 0 years required
• Open to fresh graduates and early career professionals
• Candidates with internship or project experience in data-related domains may have an advantage

Company description:

• SoftSensor.ai is a data-centric company that focuses on helping organizations make better decisions through advanced analytics and data science solutions
• The company operates across India and the United States, enabling it to serve a global client base with diverse industry needs
• It combines expertise in people, processes, and technology to design and deliver impactful data-driven outcomes
• The organization emphasizes rapid deployment of solutions using structured methodologies and reusable accelerators
• Leadership at SoftSensor.ai brings experience from top consulting firms and large enterprises, ensuring strong execution capabilities
• The company works on solving real-world business problems using techniques such as machine learning, natural language processing, and deep learning
• It actively builds and deploys scalable data solutions that enhance business performance and operational efficiency
• Their work includes improving processes, identifying patterns, and driving actionable insights from complex datasets
• The organization promotes a culture of innovation, continuous learning, and hands-on problem solving
• Employees are encouraged to explore new technologies and apply them in practical scenarios to deliver measurable business value

Profile overview:

• This role is designed for individuals who want to build a strong foundation in data science and analytics
• The Associate Data Scientist will work closely with different teams to understand business requirements and translate them into analytical solutions
• The candidate will be responsible for analyzing structured and unstructured data to uncover meaningful insights
• The role involves working with modern tools and technologies to process, clean, and interpret data
• Candidates will contribute to building predictive models that support decision-making and improve business outcomes
• The position requires strong analytical thinking and the ability to approach problems logically
• The candidate will also be involved in creating reports and dashboards that communicate findings to stakeholders
• Collaboration is a key aspect of this role, as it involves working with data engineers and business teams
• The role offers exposure to real-world projects and the opportunity to learn industry-relevant skills
• It is suitable for individuals who are curious, detail-oriented, and eager to grow in the data science domain

Qualifications:

• A bachelor’s degree in fields such as Statistics, Computer Science, Information Systems, or any related discipline
• Understanding of data science concepts including data analysis, machine learning, and statistical modeling
• Familiarity with programming languages such as Python and SQL for data manipulation and analysis
• Knowledge of data visualization tools like Power BI or Tableau for presenting insights
• Basic understanding of databases and data structures
• Exposure to machine learning techniques such as regression, classification, and clustering
• Awareness of deep learning and natural language processing concepts is an added advantage
• Experience with tools like Excel, SPSS, or SAS for statistical analysis
• Understanding of cloud platforms such as AWS or Azure is beneficial
• Strong problem-solving ability and attention to detail
• Good communication skills to present complex data insights in a simple manner
• Ability to work independently as well as in a team environment
• Willingness to learn and adapt to new tools and technologies

Additional info:

• Annual compensation offered ranges between ₹ 5,00,000 to ₹ 6,00,000
• The company follows a five-day work week, ensuring a balanced work schedule
• Health insurance benefits are provided to employees
• Multiple openings are available, increasing the chances of selection for qualified candidates
• The role involves working on real-world datasets and business problems
• Candidates will gain hands-on experience in data cleaning, analysis, and model building
• Opportunity to work with modern data science technologies and tools
• Exposure to industry best practices in data analytics and machine learning
• The organization provides a learning-oriented environment that encourages skill development
• Candidates will interact with experienced professionals and gain mentorship
• The role offers a strong starting point for a career in data science and analytics
• Applicants are expected to apply before the deadline to be considered for the opportunity
• The company has a track record of hiring and nurturing fresh talent
• Ideal for candidates looking to build a long-term career in analytics and artificial intelligence

Please click here to apply.