Data Scientist
2 weeks ago
**What are we looking for?**
A Data Scientist who would take responsibility to help the team with building automated algorithms, end to end data products and business insights generations. Someone whose role requires high technical aptitude, problem-solving abilities, motivation, intellectual curiosity, and a passion for data discovery. A scientist who will be the centre of innovation for the company and a major contributor to the company’s products and business.
**A Day in the Life**
- Deep understanding of statistics and ML algorithms work internally with proficiency in supervised and unsupervised algorithms
- Exposure to time series forecasting/classification
- Exposure to Ensemble modeling
- Researching the latest modeling techniques. Understanding trade-offs between competing approaches
- Exposure to Deep Learning and NLP is an added advantage
- Model design and implementation: This would require experience in deriving feature sets, feature engineering, model training and evaluation
- Fast-paced work environment
**What you’ll need**
- Hands on experience in handling large data sets strongly preferred
- Experience in deploying trained models for high scalability on public cloud platforms (AWS/GCP) using Dockers/Kubernetes
- In-depth knowledge of Time Series Modelling, LSTMs, Regression techniques, Decision trees. Classification algorithms like Neural Nets, SVMs. Clustering algorithms like KNNs, Expectation Maximising algorithm
- Knowledge of Data Engineering
- Good to have knowledge of TensorFlow, PyTorch, PySpark, MXNET etc.
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