Data Scientist
Tasks
- Analyze patterns in complex data
- Apply supervised machine learning
- Apply unsupervised machine learning
- Assemble structured and unstructured datasets
- Build analytical models
- Build predictive analytics models
- Communicate insights with data visualization
- Conduct ad-hoc data analysis
- Develop repeatable analytic solutions
- Drive data insights
- Generate hypotheses
- Identify analytic trends and data needs
- Implement batch model scoring
- Implement real time model scoring
- Perform data wrangling
- Perform market research
- Process data streams in distributed computing
- Tune machine learning models
Perks/Benefits
Skills/Tech-stack
Artificial Intelligence | Batch Scoring | Classification | Clustering | Data Visualization | Data Wrangling | Distributed Computing | ML Ops | Machine Learning | Predictive Analytics | Python | R | Real Time | Real-time Scoring | Regression | Statistics | Supervised Learning | Unsupervised Learning
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