Data Scientist

Note: This position requires experienced professionals only. Freshers need not apply.

Location:

Experience:

Department:

About the Role

We are seeking a skilled Data Scientist with strong machine learning expertise and hands-on experience in data visualization using Apache Superset. You will work on building predictive models, analyzing complex datasets, and creating actionable insights through compelling visualizations.

Key Responsibilities

Machine Learning & Analytics

• Develop and optimize machine learning models for business problems:
• Build and tune regression models for continuous predictions
• Implement classification algorithms for categorical outcomes
• Create time-series forecasting models for trend analysis and planning
• Perform rigorous model evaluation, validation, and A/B testing
• Conduct feature engineering and selection to improve model performance
• Apply appropriate ML metrics and statistical tests to validate results

Data Visualization & Reporting

• Design and maintain interactive dashboards in

  Apache Superset

• Create compelling data stories that translate complex analyses into business insights
• Build automated reporting pipelines connected to ML model outputs
• Collaborate with stakeholders to define KPIs and visualization requirements

Required Skills

Must-Have Technical Skills

• 3+ years of hands-on experience

  in data science and machine learning

• Strong Python proficiency

  with NumPy, Pandas, scikit-learn

• Proven experience

  building and deploying:
• Regression models (Linear, Polynomial, Ridge, Lasso)
• Classification models (Logistic Regression, Random Forest, XGBoost)
• Time-series models (ARIMA, seasonal decomposition, or Prophet)

• Hands-on experience with Apache Superset

  for dashboard creation
• Solid understanding of statistics and ML evaluation metrics
• Experience with SQL for data extraction and manipulation

Must-Have Soft Skills

• Strong analytical and problem-solving capabilities
• Ability to explain complex models to non-technical stakeholders
• Self-driven with the ability to manage multiple projects

Nice-to-Have Skills

• Experience with cloud platforms (AWS/Azure/GCP)
• Exposure to deep learning or advanced NLP
• Knowledge of Docker or model deployment tools
• Experience with A/B testing frameworks

What We Offer

• Opportunity to work on diverse ML problems across business domains
• Access to modern data infrastructure and tools
• Continuous learning and development opportunities
• Collaborative team environment

Ideal Candidate Profile

You are a data scientist who:

• Has delivered end-to-end ML projects from problem definition to deployment
• Is comfortable working with regression, classification, and time-series problems
• Has created impactful visualizations in Apache Superset that drove business decisions
• Can balance technical excellence with practical business needs

Note:

1. Specific ML projects you've completed (with business impact)
2. Examples of dashboards/visualizations you've created in Apache Superset
3. Your experience with time-series forecasting (specific use cases)