Education Qualification

Bachelor of Technology in Computer Science or related field

Required Skills

- 7+ years of Software Development Experience with at least 3+ years of full time data scientist, machine learning researcher, or machine learning engineer

- Fluency in R, Python, and experience with common data science libraries, such as Pandas, numpy, and scikit-learn

- Experience using neural networks and/or Deep Learning techniques and relevant Python platforms/APIs such as Tensorflow, PyTorch, and Keras in a production setting

- Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks

- Experience with NLP (especially sentiment analysis, entity recognition, and use of the SpaCy library)

- Experience with SQL databases and SQL queries

- Self-starting, with the interest and passion to contribute in a fast-paced start-up like environment

- Experience working on or with cloud platforms (AWS, GCP, Azure)

Roles and Responsibilities





- Build, deploy, monitor, and manage Machine Learning models

- Identify valuable input features and implement a means for calculating them (feature engineering)

- Investigate, clean, analyze, and otherwise prepare new data sources for use in higher-order analysis or as input into model features

- Data analysis and presentation using data visualization techniques, sometimes to broader audiences within or outside of Terawe

- Transition models from research to production, working with Data Engineers

- Fine-tune model performance in a production setting using adaptive/incremental machine learning techniques

- Map customer and/or product requirements to correct modeling, analysis, and/or visualization approaches

- Recommend ways to improve data reliability and quality and implement them

- Collaborate with Product development team to plan new features

📌 Senior Data Scientist (India)
🏢 Terawe
📍 India