Senior Data Scientist

Job details

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