Card Testing

Key Responsibilities

🧪 AI/ML Research & Development

• Develop AI models to identify learning difficulty patterns based on multi-domain assessments.
• Train models to classify LD categories (e.g., dyslexia, dysgraphia) from scoring + qualitative inputs.
• Build recommendation logic for intervention strategies based on child profiles and educator feedback.

📊 Data Processing & Pipeline

• Design data pipelines to preprocess structured and semi-structured data (scores, observations, logs).
• Work with educator-generated reports and build logic to convert qualitative insights into ML-readable formats.

🔎 Model Evaluation & Iteration

• Perform evaluation using accuracy, recall, precision; but also focus on interpretability and ethical AI.
• Use techniques like SHAP, attention weights, or decision trees for explainability in recommendations.

🤝 Collaboration & Integration

• Work closely with frontend/backend teams to integrate AI insights into the assessment tool UI.
• Sync with special educators to validate model predictions and continuously improve the output quality.

Carsome’s Data Department is on the lookout for a Data Scientist/Senior Data Scientist who has a strong passion in building data powered products.

Data Science function under the Data Department has a responsibility for standardisation of methods, mentoring team of data science resources/interns, including code libraries and documentation, quality assurance of outputs, modeling techniques and statistics, leveraging a variety of technologies, open-source languages, and cloud computing platform. 

You will get to lead & implement projects such as price optimization/prediction, enabling iconic personalization experiences for our customer, inventory optimization etc.

Job Descriptions

• Identifying and integrating datasets that can be leveraged through our product and work closely with data engineering team to develop data products.
• Execute analytical experiments methodically to help solve various problems and make a true impact across functions such as operations, finance, logistics, marketing. 
• Identify, prioritize, and design testing opportunities that will inform algorithm enhancements. 
• Devise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve models and clean and validate data for uniformity and accuracy.
• Unlock insights by analyzing large amounts of complex website traffic and transactional data. 
• Implement analytical models into production by collaborating with data analytics engineers.

Technical Requirements

• Expertise in model design, training, evaluation, and implementation ML Algorithm expertise K-nearest neighbors, Random Forests, Naive Bayes, Regression Models. PyTorch, TensorFlow, Keras, deep learning expertise, tSNE, gradient boosting expertise, regression implementation expertise, Python, Pyspark, SQL, R, AWS Sagemaker /personalize etc.
• Machine Learning / Data Science Certification

Experience & Education 

• Bachelor’s in Engineering / Master’s in Data Science  / Postgraduate Certificate in Data Science. 

- Writing queries used for front- end applications (websites, desktop applications)

- Designing and coding database tables to store the application data

.- Data modeling to visualize database structure.

- Reviewing query performance and optimizing code.

Desired Candidate Profile

• Excellent communication, presentation and organizational skills
• Superlative visual design skills, excellent problem solving skills and the ability to work well in a collaborative team environment
• Understanding of technical constraints, user goals and business requirements that shape a product
• Ability to work confidently with Program Management, Development, Product Planning, Brand, Marketing and Usability
• Proficiency with Figma with an understanding of rapid prototyping platforms such as Invision or Principle
• Experience working within and contributing to a structured design system
• Strong organizational skills and an attention to detail
• User Research experience in a complex space such as enterprise or other business/consumer tools and applications    

• Cold calling, relationship building, follow up through emails.
• Generating new sales orders.
• Acting as a bridge between customers & the company.
• Identify relevant new business opportunities
• Efficiently and effectively process assigned opportunities into new business sales
• Research and build new and existing prospect accounts (i.e., adding contacts, sending regular emails, appointment setting)
• Consistently meet or exceed monthly and quarterly sales targets to secure new business

Specific Skill Set:

• Must be Very Good at English & Kannada Communication.
• Should have at least 2 years of experience as a Sales promoter in the medical field.
• A strong desire to become a sales professional.