DATA SCIENTIST
Requirements and Qualification:
- Proven experience as a Machine Learning Engineer or similar role
- Understanding of data structures, data modeling and software architecture
- Deep knowledge of math, probability, statistics and algorithms
- Ability to write robust code in Python, Java and R
- Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn). Understanding of algorithms like KNN, Naive Bayes , SVM , Decision Forests etc
- Experience with data visualization tools like D3.js , Ggplot etc is desired.
- Knowledge of databases like MYSQL , NOSQL is desired
- Excellent communication skills
- Ability to work in a team with data oriented personality
- Outstanding analytical and problem-solving skills
- B.Tech/B.E in Computer Science or similar field; Master’s degree is a plus
- Study and transform data science prototypes . Selecting features, building and optimizing classifiers using machine learning techniques
- Data mining using state of art methods
- Research and implement appropriate ML algorithms and tools
- Select appropriate data sets and data representation methods
- Run machine learning tests and experiments
- Perform statistical analysis and fine-tuning using test results
- Train and retrain systems when necessary
- Extend existing ML libraries and frameworks
- Keep abreast of developments in the field