Gather structured and unstructured data from multiple sources (databases, APIs, cloud platforms).
Clean, preprocess, and transform data to ensure accuracy and consistency.
Handle large datasets using Python, SQL, or big data tools (e.g., Spark, Hadoop).
Perform exploratory data analysis (EDA) to find trends, correlations, and anomalies.
Visualize insights using tools like Power BI, Tableau, or Matplotlib.
Use statistical techniques to summarize and validate business hypotheses.
Design and train machine learning (ML) models for prediction, classification, or clustering.
Use ML libraries like scikit-learn, TensorFlow, PyTorch, or XGBoost.
Evaluate model performance using accuracy, precision, recall, and F1 score.
Collaborate with data engineers and DevOps teams to deploy models into production systems.
Monitor and retrain models as new data becomes available.
Build APIs or dashboards for easy access to predictions and analytics.
Translate complex data insights into clear, actionable recommendations.
Work with business, product, and engineering teams to identify opportunities for AI/ML solutions.
Present findings through reports, dashboards, and visual storytelling.
Comprehensive Health Insurance: Medical, dental, and vision coverage for employees and family.
Accident & Life Insurance: Additional coverage for unforeseen circumstances.
Mental Health Programs: Employee Assistance Programs (EAP), online counseling sessions, and stress management workshops.
Annual Health Checkups: Free or subsidized preventive checkups.
Wellness Initiatives: Yoga sessions, fitness challenges, and gym reimbursements (at select locations).
Flexible Working Hours: Adjust your schedule as per project needs.
Hybrid or Remote Work Options: Common for Data Science teams (as most work is system-based).
Generous Leave Policy:
Paid annual leaves
Sick/casual leaves
Maternity & paternity leaves
Optional sabbaticals after long tenure
Comp-off & Time-off Options: For extended work hours or on-call duties.
🏢 Company Overview Founded: 1976 by Shiv Nadar Headquarters: Noida, Uttar Pradesh, India Employees: Over 227,000 across 60 countries Key People: Roshni Nadar Malhotra (Chairperson), C Vijayakumar (CEO & Managing Director)... Read More