Data Scientist

4 days ago

Noida, India CodersArts Full time

As a key member of the team, you work with team to analyze and interpret data, develop metrics to measure results and integrate new methodologies.

**Minimum qualifications**:

- PhD degree in Statistics, Applied Mathematics, or similar quantitative discipline, or equivalent practical experience.
- Relevant internship or work experience with data analysis.
- Experience with statistical software (R, Python, S-Plus, SAS, or similar) and experience with database languages (e.g. SQL).

**Preferred qualifications**:

- 1 year of relevant work experience, including experience with statistical data analysis such as linear models, multivariate analysis, stochastic models, sampling methods.
- Ability to draw conclusions from data and recommend actions.
- Demonstrated leadership and self-direction. Demonstrated willingness to both teach others and learn new techniques.

**Role and Responsibilties**:

- Designing and implementing machine learning, information extraction, probabilistic matching algorithms and models
- Using your passion for programming and deep learning/AI skills using Python, TensorFlow and deep learning frameworks like Keras, PyTorch - to solve real-life problems
- Developing AI solutions in the computer vision domain using convolutional neural networks (CNN) and a combination of deep neural networks such as CNN & RNN
- Solving object detection, recognition, image classification problems using machine learning and deep learning algorithms & transfer learning methods and techniques
- Using innovative & automated approaches for data annotation, labeling, and data augmentation & use active learning.
- Handling online code assistance, code mentoring, and education-based solutions.
- Build and prototype analysis pipelines iteratively to provide insights at scale.
- Research and develop analysis, forecasting and optimization methods to improve the quality of user facing products such as ads quality, search quality, end-user behavioral modeling and live experiments.

**Perks**:
Certificate, Letter of recommendation, Flexible work hours, Informal dress code, 5 days a week, Free snacks & beverages.

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