Data Scientist II
Tasks
- Apply statistical analysis and machine learning algorithms
- Build regression clustering and time series forecasting models
- Collaborate with data engineers and IT teams
- Collaborate with stakeholders to define objectives
- Communicate insights with visualizations and reports
- Conduct exploratory data analysis
- Deploy data science solutions
- Develop predictive models
- Ensure data quality and reliability
- Form data driven hypotheses
- Gather preprocess and explore data
- Ideate and design machine learning solutions
- Identify KPIs for analysis
- Mentor junior data scientists
- Stay updated on methodologies and best practices
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | AWS | Agentic AI | Azure | B testing | Clustering | Data Analysis | Experimental Design | Exploratory Data Analysis | Git | Hadoop | Hypothesis Testing | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Matplotlib | Natural Language | Natural Language Processing | NoSQL | Power BI | Predictive Modeling | Prompt engineering | PySpark | Python | R | Regression | Retrieval-Augmented Generation | SQL | Seaborn | Series forecasting | Spark | Statistical Analysis | Tableau | Time Series | Time Series Forecasting | Version control
Education
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