Data Scientist
Tasks
- Build, train, and evaluate machine learning models
- Collaborate cross functional teams on production deployments
- Collect clean and transform large data sets
- Develop and implement machine learning algorithms
- Develop statistical analysis and predictive models
- Perform feature engineering for structured and unstructured data
- Research and apply new data science and machine learning approaches
- Visualize data and communicate insights to stakeholders
Perks/Benefits
- Flexible schedule
- Global onboarding
- Gym membership
- Happy hours
- Healthcare benefits
- Hybrid work
- Personal development
- Role based technical training
- Team events
- Udemy access
- Volunteer programs
- Wellbeing activities
- Wellness program
- Work-from-home equipment
Skills/Tech-stack
Apache Airflow | CI/CD | Classification | Clustering | Data Visualization | Deep learning | Docker | Feature Engineering | Hypothesis Testing | Kubernetes | Machine Learning | NumPy | Pandas | PySpark | Python | Regression | Regression Analysis | SQL | Series analysis | Statistical Hypothesis Testing | Statistical modeling | Time Series | Time Series Analysis
Education
Roles
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