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

Position:

• Associate Data Scientist

• Entry-level, focused on applying foundational skills in data science and analytics

• Expected to take ownership of small to mid-scale analytical tasks and support senior team members

• Key contributor to data collection, cleaning, modeling, and interpretation

• Will work on real-time business problems using statistical and machine learning techniques

Company:

• Softsensor.ai

• A global data science and AI solutions provider based in both India and the USA

• Known for delivering outcome-oriented solutions across industries using advanced analytics and modern ML tools

• Works extensively in domains like NLP, neural networks, and deep learning models

• Composed of experienced professionals from top consulting firms and corporations

Location:

• Gurgaon and Jaipur, India

• Office-based roles in both cities

• Candidates may be assigned to either location based on availability and business need

Job type:

• Full-time employment

• 5-day working week

• Permanent role, not a contract or internship position

Job mode:

• Onsite

• Physical presence required in the office

• No hybrid or remote flexibility offered at this stage

Job requisition id:

• Not officially listed in the source, leave blank if not applicable

• Will use placeholder if required for internal systems

Years of experience:

• 0 years (Fresher)

• Open to recent graduates with strong academic and project experience

• No prior full-time work experience required

• Internships or academic projects in relevant fields would be advantageous

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Company Description:

• Softsensor.ai operates at the intersection of data, technology, and decision-making.

• The company brings together expertise in machine learning, artificial intelligence, and data science to deliver business solutions that are both fast and scalable.

• Founded by professionals with prior experience at top-tier consulting firms and corporations, the organization combines strategy with implementation.

• Their technology focus includes deep learning, natural language processing, neural networks (CNN, RNN), and statistical modeling.

• With offices in both the US and India, they support global clients by embedding AI into business processes.

• Softsensor.ai is committed to improving operational efficiency, customer experience, and decision-making accuracy for its clients through advanced data-driven methods.

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Profile Overview:

• As an Associate Data Scientist, your role is to support data-driven decision-making by leveraging AI and analytics techniques.

• You will be a core part of the data science team, helping convert raw data into business insights through statistical models and machine learning algorithms.

• The job includes data wrangling, cleaning, exploratory data analysis, feature engineering, and modeling.

• Responsibilities also include developing dashboards, writing SQL queries, and interpreting data trends to support stakeholders.

• You will work closely with both data engineers and business stakeholders to ensure that the analytics infrastructure is aligned with business needs.

• The role is ideal for fresh graduates who have built a strong foundation in Python, SQL, statistics, and are eager to apply theoretical concepts in real-world projects.

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Qualifications:

• Bachelor’s degree in Computer Science, Statistics, Information Systems, or any quantitative discipline

• Coursework or certifications in AI, ML, NLP, and Data Analytics are highly desirable

• Experience with Python programming, especially libraries like pandas, numpy, scikit-learn, and matplotlib

• Solid knowledge of SQL and relational databases such as MySQL, PostgreSQL, or MS SQL

• Familiarity with data visualization tools such as Power BI or Tableau

• Exposure to cloud environments like AWS or Azure would be advantageous

• Ability to use statistical tools such as Excel, SAS, or SPSS

• Clear understanding of supervised and unsupervised learning techniques

• Strong logical thinking, attention to detail, and communication skills

• Must be self-motivated, with the ability to learn and adapt quickly in a fast-paced environment

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Additional Info:

• Selected candidates will receive a CTC in the range of ₹5,00,000 to ₹6,00,000 per year

• This is a full-time position with a 5-day workweek and excellent learning opportunities

• Multiple vacancies available (5 positions open)

• Active mentorship from experienced data scientists will be provided

• Expect to work on end-to-end data projects from data preparation to model deployment

• Project areas could include customer analytics, operations optimization, and product intelligence

• Employees will gain exposure to modern techniques in AI such as NLP, CNNs, and RNNs

• A strong performer can expect accelerated growth and the chance to lead projects in the future

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Responsibilities:

• Data Cleaning and Processing

  • Handle raw datasets, identify missing values, and apply relevant cleaning techniques

  • Work on transforming unstructured data into structured formats

  • Write Python scripts to automate the data cleansing pipeline

  • Validate data accuracy through manual checks and exploratory methods

• Statistical Modeling and Machine Learning

  • Apply regression, clustering, and classification models to datasets

  • Use scikit-learn or other frameworks for training and evaluation

  • Tune hyperparameters and test model accuracy using cross-validation

  • Participate in feature selection, dimensionality reduction, and model explainability

• Business Analytics

  • Analyze large volumes of business data to uncover trends and insights

  • Collaborate with internal teams to define problem statements

  • Prepare presentations, dashboards, and visual summaries for non-technical stakeholders

  • Contribute to building analytical solutions that drive real-world decisions

• Data Engineering Collaboration

  • Support engineers in database design and optimization

  • Create data pipelines for automated data ingestion and storage

  • Ensure statistical quality and data integrity through routine checks

• Communication and Reporting

  • Translate complex models into simple language for business users

  • Prepare summaries and reports for review by leadership and clients

  • Document findings and code for future reference and reproducibility

Please click here to apply.