Data Scientist
2 weeks ago
Note: This position requires experienced professionals only. Freshers need not apply.
Job Description – Data Scientist
Location:
Chennai (On-site)
Experience:
2 – 6 years
Department:
Data Science & Analytics
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:
Please include in your application:
- Specific ML projects you've completed (with business impact)
- Examples of dashboards/visualizations you've created in Apache Superset
- Your experience with time-series forecasting (specific use cases)
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